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 Mingsheng Shang sits on this spectrum.
This scientist: 139 publications — 22nd percentile
22% 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 Mingsheng Shang sits on this spectrum.
This scientist: 40 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mingsheng Shang is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence and its various subfields. Their research encompasses multiple specialized areas including artificial intelligence, computer vision and pattern recognition, information systems, control and systems engineering, and statistical and nonlinear physics.
The scientist has published papers in a range of topics that highlight their expertise in both theoretical and applied aspects of machine learning and complex networks. Key research themes include recommender systems and techniques, neural networks and applications, complex network analysis techniques, advanced neural network applications, advanced graph neural networks, face and expression recognition, and machine learning methodologies such as extreme learning machines (ELM).
Mingsheng Shang's frequent publication venues underline their engagement with leading journals and conferences. These include:
The scientist has collaborated extensively with a set of frequent co-authors, indicating ongoing research partnerships. These co-authors include Xiaoyu Shi, Mei Liu, Long Jin, Xin Luo, and Hong Xie.
Among recent publications, the following works are notable for their topics and citation volume:
Mingsheng Shang's body of work demonstrates a sustained investigation into both neural network methodologies and complex network structures applied across various computational challenges. This includes contributions to recommender systems and the analysis of higher-order network dynamics.
Duanbing Chen;Linyuan Lü;Ming-Sheng Shang;Yi-Cheng Zhang;Yi-Cheng Zhang
Zhi-Dan Zhao;Ming-sheng Shang
Mei Liu;Liangming Chen;Xiaohao Du;Long Jin
Xin Luo;MengChu Zhou;Shuai Li;MingSheng Shang
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Duanbing Chen;Mingsheng Shang;Zehua Lv;Yan Fu
Ming-Sheng Shang;Ming-Sheng Shang;Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang;Tao Zhou;Tao Zhou
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Xin Luo;Jianpei Sun;Zidong Wang;Shuai Li
Xin Luo;Zhigang Liu;Shuai Li;Mingsheng Shang
Di Wu;Mingsheng Shang;Xin Luo;Zidong Wang
Ming-Sheng Shang;Zi-Ke Zhang;Tao Zhou;Tao Zhou;Yi-Cheng Zhang;Yi-Cheng Zhang
Di Wu;Ming sheng Shang;Xin Luo;Ji Xu;Ji Xu
Xin Luo;Mengchu Zhou;Shuai Li;Lun Hu
Xin Luo;MengChu Zhou;Shuai Li;Di Wu
Mingsheng Shang;Xin Luo;Zhigang Liu;Jia Chen
Di Wu;Qiang He;Xin Luo;Mingsheng Shang
Xin Luo;Zhigang Liu;Mingsheng Shang;Jungang Lou
Di Wu;Xin Luo;Guoyin Wang;Mingsheng Shang
Duanbing Chen;Yan Fu;Mingsheng Shang
Xin Luo;Zidong Wang;Mingsheng Shang
Xiaoyu Shi;Qiang He;Xin Luo;Yannai Bai
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