Jafar Hussain | Economics | Academic Excellence Honor

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Prof. Jafar Hussain | Economics | Academic Excellence Honor

👤  Prof. Jafar Hussain, Nanchang Institute of Technology, China

Dr. Jafar Hussain is a distinguished statistician and research analyst with over 11 years of experience in research and 4 years in teaching. He holds a professorship at the School of Finance and Economics, Nanchang Institute of Technology, China, and serves as Director at Xian Innovation College of Yunan University. Dr. Hussain has made significant contributions in quantitative and qualitative analysis, especially in assessing data reliability and generating insightful reports. His research, primarily focused on environmental economics and sustainable development, has resulted in a total impact factor of 110 in Q1 journals as first and corresponding author. A respected educator, he teaches statistics and econometrics and supervises several PhD and master’s students. In addition, Dr. Hussain serves on the editorial boards of leading journals, reflecting his expertise and leadership in the academic community.

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🌟 Suitability for the “Research for Academic Excellence Honor” Award

Dr. Jafar Hussain is highly suitable for the Research for Academic Excellence Honor due to his remarkable academic and research achievements over an extensive career. With over 11 years of research experience, Dr. Hussain has demonstrated exceptional skills in both quantitative and qualitative data analysis, which are crucial to the advancement of knowledge in his field. His research work has earned him recognition through 110 Impact Factor points in prestigious Q1 journals, serving as both the first and corresponding author—an achievement that speaks volumes about his contribution to academic scholarship.

Dr. Hussain’s role as a professor at the Nanchang Institute of Technology and his position as Director at Xian Innovation College highlight his leadership and commitment to academia. His teaching roles, including courses in Statistics for Business and Basic Econometrics, further demonstrate his dedication to nurturing future scholars.

 🎓  Education

Dr. Jafar Hussain completed his academic journey with a focus on economics and statistics. He obtained his doctoral degree in Economics from the University of Agriculture Faisalabad, Pakistan. Furthering his expertise, he pursued advanced studies in applied econometrics and statistical modeling, honing his research skills in various economic domains. Dr. Hussain’s education equips him with a solid foundation in statistical analysis, econometrics, and operations research, which he applies to his teaching and research. His extensive knowledge of R, STATA, Eviews, SPSS, and SAS has supported his remarkable academic career. Additionally, Dr. Hussain has undertaken significant professional development through international collaborations, academic memberships, and editorial roles, keeping him updated with the latest advancements in economics and finance. His research outputs reflect the depth of his education, contributing to a growing body of literature in his fields of expertise.

💼  Professional Experience

Dr. Jafar Hussain’s professional career spans academia, research, and consultancy. He currently holds a professorship at the School of Finance and Economics, Nanchang Institute of Technology, China, where he teaches courses on statistics and econometrics. In addition to his academic role, Dr. Hussain is the Director of Xian Innovation College at Yunan University and a visiting researcher at the Harbin Institute of Technology, Shenzhen. His research experience includes working as a Research Associate at Shenzhen University, focusing on manufacturing industries, pricing, and green technology. Previously, he served as a Senior Research Consultant at Four Brothers Seed Company, Pakistan, where he contributed to agricultural research. He has also worked as a Research Associate and Teaching Assistant at the University of Agriculture Faisalabad, where he led studies on food utilization and socioeconomic factors affecting rural communities. Dr. Hussain’s expertise is acknowledged globally, and he actively collaborates with multiple institutions and projects.

🏅 Awards and Recognition

Dr. Jafar Hussain has received numerous accolades for his research and teaching excellence. Notably, he was awarded “Best Researcher” and “Best Teacher” at the Nanchang Institute of Technology, China, for his outstanding contributions to academia. His recognition as the “Best Reviewer” in 2022 by the prestigious OMEGA-International Journal of Management Science further underscores his impact in the academic community. Dr. Hussain is an esteemed member of various editorial boards, including journals like Renewable & Sustainable Energy Reviews and Journal of Environmental Planning and Management, reflecting his leadership in shaping global academic discourse. His research contributions have earned him funding from prestigious institutions like the National Natural Science Fund of China. As a guest editor and reviewer for several high-impact journals, he has gained international recognition for his work on climate change, energy policy, and sustainable development. Dr. Hussain’s academic impact is evident in his remarkable citation record and leadership roles.

🌍 Research Skills On Economics 

Dr. Jafar Hussain is a highly skilled statistician with expertise in quantitative and qualitative analysis. He is proficient in various statistical software such as R, STATA, Eviews, SPSS, and SAS, utilizing these tools to conduct complex analyses in economics and finance. His research focuses on econometrics, statistical modeling, operations research, and machine learning applications. Dr. Hussain’s work spans diverse fields, including climate change, green technologies, and sustainable development. He is proficient in linear and non-linear programming using software like LINGO and GINO. In addition, he uses simulation software like Arena for modeling complex systems. His expertise in programming languages such as Python and Visual Basic enables him to create customized solutions for research challenges. Dr. Hussain’s deep understanding of environmental issues and sustainable energy policies, coupled with his technical skills, has positioned him as a leader in the field, collaborating on global projects and influencing policy-making in the energy sector.

📖 Publication Top Notes

  • Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy
    Authors: J Hussain, CC Lee, Y Chen
    Journal: Technological Forecasting and Social Change
    Volume: 183, Article: 121952
    Year: 2022
    Citations: 139
  • A green path towards sustainable development. Optimal Behaviour of duopoly game model with carbon neutrality instruments.
    Authors: J Hussain, CC Lee*
    Journal: Sustainable Development
    Volume: 98
    Year: 2022
    Citations: 122
  • The optimal behavior of renewable energy resources and government’s energy consumption subsidy design from the perspective of green technology implementation
    Authors: CC Lee, J Hussain, Y Chen
    Journal: Renewable Energy
    Volume: 195, Pages: 670-680
    Year: 2022
    Citations: 80
  • Pricing behavior of monopoly market with the implementation of green technology decision under emission reduction subsidy policy
    Authors: J Hussain, Y Pan, G Ali, Y Xiaofang
    Journal: Science of the Total Environment
    Volume: 709, Article: 136110
    Year: 2020
    Citations: 74
  • An assessment of socioeconomic indicators and energy consumption by considering green financing
    Authors: CC Lee, J Hussain
    Journal: Resources Policy
    Volume: 81, Article: 103374
    Year: 2023
    Citations: 57
  • Urban environment dynamics and low carbon society: multi-criteria decision analysis modeling for policy makers
    Authors: G Ali, S Abbas, Y Pan, Z Chen, J Hussain*, M Sajjad, A Ashraf
    Journal: Sustainable Cities and Society
    Volume: 51, Article: 101763
    Year: 2019
    Citations: 56
  • Quantitative assessment of energy conservation and renewable energy awareness among variant urban communities of Xiamen, China
    Authors: G Ali, N Yan, J Hussain, L Xu, Y Huang, S Xu, S Cui
    Journal: Renewable and Sustainable Energy Reviews
    Volume: 109, Pages: 230-238
    Year: 2019
    Citations: 52
  • Carbon neutral sustainability and green development during energy consumption
    Authors: CC Lee, J Hussain
    Journal: Innovation and Green Development
    Volume: 1(1), Article: 100002
    Year: 2022
    Citations: 51
  • A Duopoly Game Model for Pricing and Green Technology Selection under Cap-and-Trade Scheme
    Authors: Y Pan, J Hussain*, X Liang, J Ma
    Journal: Computers & Industrial Engineering
    Year: 2020
    Citations: 50
  • Optimal behavior of environmental regulations to reduce carbon emissions: A simulation-based dual green gaming model.
    Authors: CC Lee, J Hussain*
    Journal: Environmental Science and Pollution Research
    Year: 2022
    Citations: 25

Saima Sajid | Economics | Best Researcher Award

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Dr. Saima Sajid | Economics | Best Researcher Award

👤  Dr. Saima Sajid, Universiti Utara Malaysia, and GC Women University, Pakistan

Dr. Saima Sajid, a distinguished economist from Pakistan, has dedicated her career to analyzing macroeconomic factors influencing labor markets, trade, and gender equality. With a Ph.D. in Economics from Universiti Utara Malaysia, her research focuses on dynamic interactions between institutional quality, economic complexity, and sustainable development in emerging economies. Dr. Sajid’s academic and professional journey includes impactful teaching roles and significant contributions to globally recognized journals. Currently an Assistant Professor at Government College Women University, Sialkot, she is a passionate educator and researcher, committed to advancing economic insights for societal betterment.

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🌟  Evaluation of Dr. Saima Sajid for the “Research for Best Researcher Award”

Summary of Suitability

Dr. Saima Sajid’s academic achievements, research focus, and prolific publication record make her a strong candidate for the “Research for Best Researcher Award.” Her research primarily addresses critical socio-economic issues, including female labor force participation, economic complexity, and macroeconomic challenges. These themes hold substantial relevance in today’s global economic and development discourse.

Her academic journey is marked by consistent excellence, including a Ph.D. in Economics from University Utara Malaysia, where her thesis examined the impact of macroeconomic factors on female labor participation in developing countries, a topic of both scholarly and practical importance. This foundation is further reinforced by her M.Phil. and Master’s degrees in Economics, reflecting her strong command of her discipline.

🎓  Education

Dr. Sajid holds a Ph.D. in Economics (2017–2021) from Universiti Utara Malaysia, where her research examined macroeconomic factors affecting female labor force participation in D8 countries. She completed her M.Phil in Economics (2009–2013) from the University of Gujrat, exploring trade openness and gender equality. Her Master’s in Economics (2004–2006) from Fatima Jinnah Women University focused on stock market efficiency. A Bachelor of Arts from Govt Postgraduate College, Mandi Bahauddin, laid the foundation for her academic journey, shaped by mentorship from esteemed supervisors and a commitment to addressing critical economic challenges.

💼 Professional Experience

Dr. Sajid is an Assistant Professor at Govt. College Women University, Sialkot (2021–present), where she inspires students through research-driven teaching. Previously, she served as a Lecturer in Economics at Gabriel College (2013–2016) and Atlas Commerce College (2008–2012). As a Teaching Assistant at Govt Postgraduate College, she honed her instructional skills. Beyond academia, her role as a field enumerator in PIDE’s PPHS-2010 initiative reflects her versatility and engagement in empirical research.

🏅 Awards and Recognition

Dr. Sajid’s accolades include publishing extensively in high-impact journals, including Scopus Q1 and Q2-rated platforms. Her work has received international recognition for advancing understanding in economics, institutional quality, and gender equality. Notable achievements include exploring sustainable development in South Asia and receiving commendations for her scholarly contributions to economic policy analysis. Her research continues to influence academic discourse globally, fostering innovations in economic complexity and trade.

🌍  Research Skills On Economics

Dr. Sajid is adept in econometrics, macroeconomic modeling, and institutional analysis, with expertise in linking economic complexity to development indicators. Her skills span qualitative and quantitative methods, ensuring robust research outcomes. Focused on gender economics, sustainable policies, and trade dynamics, her work integrates interdisciplinary approaches to address pressing global challenges, particularly in developing nations. Proficient in academic writing and data analysis, she excels in presenting actionable insights for policy and academia.

📖 Publication Top Notes

Political economy of gender equality: Case study of Pakistan
    • Author: S Sajid
    • Citation: International Journal of Gender and Women’s Studies 2 (2), 309-340
    • Year: 2014
    • Citations: 15
Does trade openness boost gender equality in employment: A case of D8 countries
    • Authors: S Sajid, S Ullah
    • Citation: Journal of Asian Development Studies 3 (2), 85-104
    • Year: 2014
    • Citations: 9
The effectiveness of anti-money laundering legislation in Islamic banking of Pakistan: Experts’ opinion
    • Authors: SSU Hassan, MA Hussain, S Sajid
    • Citation: Journal of Money Laundering Control 25 (1), 135-149
    • Year: 2022
    • Citations: 6
Economic Growth, Female Labor Force Participation and Interacting Role of Education in Developing 8 Countries: A Sustainable Development Policy Perspective
    • Authors: S Sajid, N Abdullah, AR Chik
    • Citation: Psychology and Education 58 (1), 5263-5272
    • Year: 2021
    • Citations: 5
Does trade openness advance gender equality in education: A case of D8 countries
    • Author: S Sajid
    • Citation: Stud 7 (3)
    • Year: 2018
    • Citations: 4
The Dynamic Relationship Between Financial Development and Economic Complexity in Pakistan
    • Author: SS Maryam Arooj
    • Citation: Journal of Contemporary Macroeconomic Issues 3 (2), 30-43
    • Year: 2022
    • Citations: 2
The legal and psychological challenges of female prisoners in Pakistan
    • Authors: SSU Hassan, A Zameer, SZ Haider, S Sajid
    • Citation: Pakistan Journal of Humanities and Social Sciences 11 (2), 2481-2490
    • Year: 2023
    • Citations: 1
Infrastructure Index and Female Labor Force Participation in Developing-8 Countries: A Demand Side Approach
    • Authors: S Sajid, NB Abdullah, AR Chik
    • Citation: Hamdard Islamicus 43 (2), 1055-1081
    • Year: 2020
    • Citations: 1

 

Mohammed Abu Alfoul | Econometrics | Best Researcher Award

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Dr. Mohammed Abu Alfoul | Econometrics | Best Researcher Award

Dr. Mohammed Abu Alfoul, Ezymart Corporation Pty Ltd, Australia

Dr. Mohammed Abu Alfoul is an accomplished economist and data scientist with a focus on digital and shadow economies, ICT’s role in economic growth, and economic modeling. With a Ph.D. in Economics from Swinburne University of Technology, his research spans ICT investment, governance, and their effects on MENA countries’ economic growth. He has gained practical experience through roles in data science and operations management at Ezy Mart Melbourne and Hi-Phone Telecom. Dr. Abu Alfoul’s passion for teaching is evident in his role as a lecturer at Edvantage Institute, where he actively contributes to course development and student engagement. A recipient of several prestigious awards, including the Hussein Prize for Economic Research, he has a strong record of publishing high-impact research. His technical expertise includes machine learning, data science, and statistical modeling, making him a well-rounded professional in both academia and industry.

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Summary of Suitability for the ‘Research for Best Researcher Award’

Dr. Mohammed Abu Alfoul stands out as a highly accomplished and driven professional in the field of Economics and Data Science. His strong academic background, including a PhD in Economics from Swinburne University of Technology, coupled with his exceptional research contributions, makes him an excellent candidate for the ‘Research for Best Researcher Award.’ Dr. Abu Alfoul’s thesis on the effects of ICT investment on economic growth in MENA countries demonstrates his ability to address complex, contemporary economic issues using advanced data science methodologies.

🎓  Education 

Dr. Mohammed Abu Alfoul holds a Doctor of Philosophy (Ph.D.) in Economics from Swinburne University of Technology (2022), where his thesis explored the effects of ICT investment and usage on economic growth in MENA countries, with a focus on governance. He earned his Master’s in Economics from Yarmouk University, Jordan (2016), and a Bachelor’s degree in Computer Science from Al Balqa University, Jordan (2012). His educational background bridges economics and technology, enabling him to conduct research that merges economic theory with practical applications in data science and ICT. Throughout his academic journey, Dr. Abu Alfoul has consistently demonstrated excellence, securing scholarships and awards, including the International Scholarship Program for Ph.D. Students and the Hussein Prize for Economic Research. His academic pursuits are complemented by his deep technical expertise in machine learning, econometrics, and data visualization, furthering his research in digital economies.

💼 Professional Experience 

Dr. Mohammed Abu Alfoul has accumulated significant experience in both academia and the private sector. Since 2018, he has been an Area Operations Manager (Data Scientist) at Ezy Mart, Melbourne, where he specializes in identifying data sources, building machine learning algorithms, and processing unstructured data to drive business decisions. He also holds a lecturer position in economics at Edvantage Institute, Australia, where he delivers lectures, supports curriculum development, and mentors students in economics courses. Previously, Dr. Abu Alfoul worked as an Executive Account Manager at Hi-Phone Telecom in Jordan (2014-2018), where he was responsible for data collection, predictive modeling, and algorithm development. His role at Furqan Foundation (2010-2014) involved managing data systems and digitizing client information. These experiences have honed his skills in data science, economics, and project management, making him an expert in both practical and theoretical applications of data in economics.

🏅 Awards and Recognition

Dr. Mohammed Abu Alfoul has received numerous accolades for his contributions to economics and data science. He was awarded the prestigious Hussein Prize for Economic Research in 2022 and 2023, recognizing his groundbreaking research on the digital economy and economic growth in MENA countries. Additionally, he received the International Scholarship Program for Ph.D. students from Swinburne University of Technology, which supported his doctoral studies. Dr. Abu Alfoul’s achievements in the workplace have been acknowledged with the Ezymart Award for Operational Efficiency, Leadership, Innovation, and Data Science in 2023. His research contributions, particularly his published work on ICT investment and the shadow economy, have earned him a reputation as an expert in his field. His commitment to advancing economic research and education is further demonstrated by his active participation in academic conferences, seminars, and as a referee for prominent economic journals.

🌍 Research Skills 

Dr. Mohammed Abu Alfoul’s research skills are wide-ranging and advanced, particularly in the fields of econometrics, data science, and digital economics. He is proficient in using statistical and econometric tools such as Python, R, SQL, C#, E-Views, SPSS, LISREL, Stata, and Cisco for data analysis, modeling, and machine learning. His expertise includes structural equation modeling, probability theory, and stochastic processes, all of which are integral to his research on economic growth, ICT, and the shadow economy. He is skilled in multi-variable analysis, hypothesis testing, and spatial statistics, which he applies to analyze complex economic phenomena. Dr. Abu Alfoul is also adept at data visualization and communication, enabling him to present research findings in an accessible and impactful manner. His extensive background in both academic research and applied data science makes him a leader in his field, well-equipped to tackle complex economic questions with cutting-edge methodologies.

📖 Publication Top Notes

Title: The impact of COVID-19 pandemic on global stock markets: An event study

  • Authors: I Khatatbeh, M Bani Hani, MN Abu Alfoul
    Journal: International Journal of Economics and Business Administration, 8(4), 505-514
    Cited by: 84
    Year: 2020

Title: Waiting time of public transport passengers in Jordan: magnitude and cost

  • Authors: A Shtayat, M Abu Alfoul, S Moridpour, N Al-Hurr, K Magableh, …
    Journal: The Open Transportation Journal, 13, 227-235
    Cited by: 12
    Year: 2019

Title: Is there any financial Kuznets curve in Jordan? A structural time series analysis

  • Authors: IN Khatatbeh, W Al Salamat, MN Abu-Alfoul, JJ Jaber
    Journal: Cogent Economics & Finance, 10(1), 2061103
    Cited by: 9
    Year: 2022

Title: What Determines the Shadow Economy? An Extreme Bounds Analysis

  • Authors: MN Abu Alfoul, IN Khatatbeh, F Jamaani
    Journal: Sustainability, 14(10), 5761
    Cited by: 9
    Year: 2022

Title: The hidden economy in Jordan: A MIMIC approach

  • Authors: M Abu Alfoul, ZA Mishal, F Schneider, K Magableh, AR Alabdulraheem
    Journal: Cogent Economics & Finance, 10(1), 2031434
    Cited by: 8
    Year: 2022

Dr. Zichao Li | Economics | Academic Excellence Award

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Dr. Zichao Li | Economics | Academic Excellence Award

Dr. Zichao Li, University of Waterloo, Canada

Dr. Zichao Li is a leading researcher at the University of Waterloo, with a specialization in machine learning applications in finance. He holds a Ph.D. in Management Sciences from the University of Waterloo, an M.Sc. from Georgia Institute of Technology, and a B.Sc. from the National University of Singapore. With over a decade of industry experience, Dr. Li has made significant strides in advancing trading technologies, particularly in fixed income markets. Currently, he serves as Chief Scientist at Canoakbit Alliance Inc., driving projects on AI-based financial modeling. His recent research has produced 13 influential publications in 2024, showcasing his expertise in areas such as Bayesian models, neural networks, and financial risk assessment. His work offers innovative insights into financial decision-making, making him a valuable contributor to the field of economics and machine learning.

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Suitability Summary for Research for Academic Excellence Award

Dr. Zichao Li is an exceptionally qualified candidate for the Research for Academic Excellence Award. With a robust academic background spanning prominent institutions including the University of Waterloo, Georgia Institute of Technology, and the National University of Singapore, Dr. Li has consistently demonstrated a strong commitment to advancing financial technology through machine learning and operations research. His academic achievements are supported by 13 influential publications in 2024 alone, showcasing his prolific contributions to fields such as machine learning, finance, and risk prediction. His h-index of 14, with 410 citations, reflects his work’s significant impact and recognition in the academic community.

🎓 Education 

Dr. Zichao Li’s academic journey is distinguished by degrees from prominent institutions. He earned his Ph.D. in Management Sciences from the University of Waterloo, where he specialized in machine learning applications within finance. His master’s degree from the Georgia Institute of Technology focused on data analysis and applied operations research, solidifying his analytical skills and technical knowledge. Dr. Li completed his undergraduate studies at the National University of Singapore, majoring in Engineering, which laid the groundwork for his interdisciplinary approach to financial technology. His extensive academic training has equipped him with a deep understanding of AI and machine learning principles, enabling him to tackle complex financial models and design algorithms that optimize trading and risk management in the finance sector. His educational background has been pivotal in his successful career as both a researcher and practitioner.

💼  Professional Experience 

With over a decade of experience in finance and machine learning, Dr. Zichao Li has developed advanced trading and risk assessment technologies. As a researcher at the University of Waterloo, Dr. Li specializes in AI-driven financial modeling, while his role as Chief Scientist at Canoakbit Alliance Inc. focuses on applying machine learning to finance, especially in risk and portfolio management. Previously, he worked with two primary Treasury dealers, where he honed his expertise in fixed income trading and developed software solutions tailored for real-time market environments. This professional background has made him a valuable asset in blending machine learning with economic indicators, offering precise solutions for trading and risk management. His experience spans innovative projects that leverage Bayesian and neural network models, advancing the understanding of predictive analytics in finance.

🏅 Awards and Recognition 

Dr. Zichao Li has been recognized for his contributions to AI and finance, garnering awards and acknowledgments within academia and industry. In 2024, he was commended for his groundbreaking work in Bayesian models for financial applications, leading to several prestigious research awards. His expertise has earned him invitations to serve on committees for high-impact conferences, such as the ACM/IEEE International Conference on Cyber-Physical Systems and the International Conference on Machine Learning and Computing. These honors reflect his leadership and significant impact in machine learning, as well as his commitment to advancing AI methodologies in finance. Additionally, his appointment as Chief Scientist at Canoakbit Alliance Inc. demonstrates the trust placed in him to pioneer innovative solutions for the financial sector. His research has not only advanced academic knowledge but also provided practical tools to address complex financial challenges.

🌍 Research Skills 

Dr. Zichao Li’s research skills are concentrated on machine learning applications for finance, including Bayesian methods, neural networks, and contrastive deep learning. His expertise spans predictive analytics, risk assessment, and financial modeling, where he employs AI to optimize investment strategies and assess market risks. Dr. Li has developed skills in integrating economic indicators and sentiment analysis into financial models, enabling more accurate predictions and adaptive responses to market changes. His work with graph neural networks for recommendation systems and sentiment detection through integrated learning algorithms highlights his ability to tackle complex data-driven challenges. Proficient in Python, R, and MATLAB, Dr. Li leverages these tools to implement sophisticated models that address contemporary challenges in financial technology, including cryptocurrency portfolio management and Treasury bond yield prediction. His skill set is a blend of theoretical knowledge and practical experience, making him a sought-after expert in finance-oriented AI research.

📖 Publication Top Notes

  • Graph neural network recommendation system for football formation
    Cited by: 88
  • Optimal shipment decisions for an airfreight forwarder: Formulation and solution methods
    Cited by: 70
  • Text Sentiment Detection and Classification Based on Integrated Learning Algorithm
    Cited by: 44
  • The air-cargo consolidation problem with pivot weight: Models and solution methods
    Cited by: 22
  • Neural radiance fields convert 2d to 3d texture
    Cited by: 21