Recently, Stanford University and Elsevier jointly released the “World’s Top 2% Scientists 2024” list. Professors LIU Huchen, XIE Xuemei, Associate Professors WANG Shijin, WU Bing and Professor MA Weimin from Tongji SEM were once again included in the annual Science Impact List. Meanwhile, Professor LIU Huchen was again included in the Lifetime Scientific Influence Ranking.

 

 

 

LIU Huchen

Professor and PhD Supervisor

Department of Management Science and Engineering

 

 

 

 

 

Professor LIU is currently a Distinguished Professor of Tongji University, chief expert of major national social science projects, and a national young talent. He has long been engaged in research in the field of quality engineering and reliability management. He has been selected as one of World’s Top 2% Scientists, global highly cited scientists and Chinese highly cited scientists. In recent years, he has published more than 60 papers in renowned journals at home and abroad, 4 monographs in English and 3 textbooks; dozens of articles in Guangming Daily, Economic Daily, Science and Technology Daily and other media. His research results have been applied to various fields, including medical services, aviation systems, weapons and equipment, and he has won many awards, including the 2nd Prize of Shanghai Natural Science and the 1st Prize of Shanghai Philosophy and Social Science Outstanding Achievements. He is an editorial board member of journals such as Science and Technology Bulletin, Systems Engineering and Electronics Technology, and a special researcher of the Shanghai Xi Jinping Research Centre for Socialist Thought with Chinese Characteristics in the New Era.

Research areas: quality engineering, reliability management, intelligent quality management

 

 

XIE Xuemei

Professor and PhD Supervisor

Department of Innovation and Strategy (in preparation)

 

 

 

 

 

Distinguished Professor (tenured) at Tongji University, recipient of the National Science Fund for Excellent Young Scholars, and Distinguished Professor of Shanghai “Eastern Scholar.” She has also been awarded titles such as “Shuguang Scholar” and “Pujiang Talent” by the Shanghai Municipal Government. She was selected as one of the top 2% of scientists in the world and listed in the “Elsevier Highly Cited Chinese Researchers” ranking. She has led more than 20 national and provincial-level projects, including major projects of the National Social Science Fund (as chief expert) and the National Science Fund for Excellent Young Scholars. She has published over 100 academic papers in internationally renowned SSCI journals as well as leading domestic journals such as Management World and Journal of Management Science.

Research areas: green innovation, collaborative innovation, innovation ecosystem, female entrepreneurship.

 

 

WANG Shijin

Associate Professor and PhD Supervisor

Department of Management Science and Engineering

 

 

 

 

 

WANG Shijin graduated from the School of Mechanical Engineering at Shanghai Jiao Tong University with a PhD in Industrial Engineering in 2009. In the same year, he joined the Department of Management Science and Engineering of Tongji SEM. As the first or corresponding author, he has published more than 40 academic papers in leading domestic and international journals and led five projects funded by the National Natural Science Foundation of China (NSFC). In 2019, he was selected for the “Shanghai Talent Development Fund Support Program.” In addition, he was included in Stanford University’s 2023 list of the top 2% of the world’s most influential scientists (single-year impact).

He teaches courses such as Applied Statistics and Data Modelling & Decision Making to undergraduate, MBA and MEM (Master of Engineering Management) students every year. He has supervised over 200 dissertations, including those of several professional students. He was awarded the 1st prize as advisor in the 1st edition of Shanghai Higher Education MBA Research and Writing Competition in 2023, as well as the 1st prize in the 2023 China Graduate Enterprise Management Innovation Competition (as advisor).

Research areas: optimization theory, production planning and maintenance; optimization and application of energy efficient operations; data analysis and data mining in quality control, diagnosis and prognosis.

 

 

WU Bing

Associate Professor

Department of Management Science and Engineering

 

 

 

 

 

WU Bing has a long-standing research focus on knowledge management and dissemination, and has led several national and provincial research projects. In recent years, she has published several high-quality papers in internationally renowned journals. Among them, her paper on the continued usage intention of MOOCs published in Computers in Human Behavior has been widely cited, demonstrating her influence and academic contributions in the field of MOOCs research. These studies have not only advanced related theoretical developments, but also provided valuable guidance for practical applications.

She has also published three monographs with Science Press on topics such as knowledge innovation, the evolution of e-learning behavior and the MOOC system. These works have enriched the research results in relevant disciplines and provided effective references for future research.

In terms of teaching development, she actively promotes a blended online and offline teaching model to adapt to the rapidly changing educational environment. The Management Information Systems course she teaches has been recognized as a National First-Class Course and she has published several textbooks and resources to support teaching practice.

Research areas: business intelligence, social media, web mining, knowledge management, E-Learning, management information systems

 

 

MA Weimin

Professor and PhD Supervisor

Department of Management Science and Engineering

 

 

 

 

 

Director of the Research Institute of Operations and Strategic Decision Making, member of the Shanghai Municipal Committee of the Jiusan Society, Deputy Director of the Special Committee on Economics and Finance, Chairman of the Technology Professional Committee of the Shanghai Shaanxi Chamber of Commerce, member of the Hongkou District CPPCC of Shanghai, and member of the Youth Working Committee of the Central Committee of the Jiusan Society.

He has led nearly 30 national and provincial projects, including three funded by the National Natural Science Foundation and one by the National Social Science Foundation. To date, he has published more than 300 academic papers in international journals, international conferences and major national academic journals. Among them, 112 papers have been indexed by SCI, 16 by SSCI, 130 by EI and over 80 by ISTP. He is Vice-Chairman of the China Branch of the International Consortium for Electronic Business (ICEB-CN), Vice-Chairman of the Uncertainty Branch of the Operations Research Society of China, Deputy Director of the Youth Work Committee of the Operations Research Society of China, and Executive Director of the Intelligent Computing Branch of the Operations Research Society of China.

Recipient of the Distinguished Contribution Award in Operations Research from the Uncertainty Branch of the Operations Research Society in 2012; selected for the Shaanxi Province Hundred Talents Programme in 2011; winner of the Zhong Jiaqing Operations Research Award in 2011; selected for the Shanghai Pujiang Talent Programme in 2010; Winner of the China Operations Research Newcomer Award in 2010; selected as a Shanghai Dawn Scholar in 2008; recipient of the National Excellent Doctoral Dissertation Award in 2006; and selected for the New Century Excellent Talents Support Programme by the Ministry of Education in 2006.

Research areas: operations and operations management, uncertainty decision theory, information systems and technology, game theory and real-time economics, service science and service computing, optimization theory and methods.

About the World’s Top 2% Scientists 2024

The World’s Top 2% Scientists 2024 list is the result of a joint project between Elsevier and Stanford University and is published on the Mendeley Data website. It is based on citation data from the Scopus database and uses six comprehensive metrics, including total citations, the Hirsch H-index, the Schreiber Hm-index adjusted for co-authorship, single authorship and sole or first authorship. From nearly 7 million scientists worldwide, the list selects the top 2% of scientists in various fields. It covers 22 disciplines and 174 sub-disciplines, providing a benchmark for long-term scientific achievement and a more objective and accurate reflection of a scientist’s impact. The list is divided into two main categories: the “career-long impact” ranking, which focuses on the cumulative impact of a scientist’s career, and the “single-year impact” ranking, which highlights scientific achievements in the current year.