The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Guoqing Chen sits on this spectrum.
This scientist: 237 publications — 59th percentile
59% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Guoqing Chen sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Guoqing Chen is affiliated with Tsinghua University in China and has a research portfolio concentrated primarily in computer science with a substantial emphasis on artificial intelligence, sociology and political science, information systems, marketing, and management information systems. Their work spans diverse areas including digital marketing and social media, recommender systems and techniques, consumer behavior in brand consumption and identification, advanced text analysis techniques, sentiment analysis and opinion mining, advanced graph neural networks, and consumer retail behavior studies.
The research contributions of Guoqing Chen are reflected in frequent publications in several distinguished venues. Notably, their work appears in Information Systems Research, SSRN Electronic Journal, Decision Support Systems, INFORMS Journal on Computing, and IEEE Transactions on Knowledge and Data Engineering.
Recent publications demonstrate a broad application of their expertise. Examples include:
Guoqing Chen has actively collaborated with other researchers, having frequent coauthors such as Xunhua Guo, Qiang Wei, Ni Huang, Lingli Wang, and Yili Hong. These collaborations have resulted in multiple joint publications, indicating a well-established network within their research community.
Chen's research topics typically involve analyzing complex digital and social data to inform understanding of consumer behavior, the efficacy of recommender systems, and the refinement of advanced analytical techniques, particularly in artificial intelligence and marketing contexts.
Their professional recognitions include being named a Fellow of the Association for Information Systems (AIS) in 2019, acknowledging the contributions made within the field of information systems.
Ee-Peng Lim;Hsinchun Chen;Guoqing Chen
Guoqing Chen;Qiang Wei
Guoqing Chen;Hongyan Liu;Lan Yu;Qiang Wei
Hua Yuan;Guoqing Chen
Benjiang Lu;Xunhua Guo;Nianlong Luo;Guoqing Chen
Yue Guan;Qiang Wei;Guoqing Chen
Z. M. Ma;Z. M. Ma;Wen-Jun Zhang;Weiyin Ma;G. Q. Chen
Guoqing Chen
Nan Zhang;Xunhua Guo;Guoqing Chen
Nianlong Luo;Xunhua Guo;Benjiang Lu;Guoqing Chen
Guoqing Chen;Jacques Vandenbulcke;Etienne E. Kerre
Guoqing Chen;Qiang Wei;Etienne E. Kerre
Guoqing Chen;E.E. Kerre
Yongzhi Cao;Guoqing Chen;E E Kerre
C. Cornells;Peng Yan;Xing Zhang;Guoqing Chen
Peng Yan;Guoqing Chen
Qiang Wei;Guoqing Chen
Guoqing Chen;Etienne E. Kerre;Jacques Vandenbulcke
Nan Nan Zhang;Xunhua Guo;Guoqing Chen;Patrick Y.K. Chau
Yongzhi Cao;Sherry X. Sun;Huaiqing Wang;Guoqing Chen
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