Chen Gong

118 total papers · 1.2k total citations
45 papers, 834 citations indexed

About

Chen Gong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Clinical Psychology. According to data from OpenAlex, Chen Gong has authored 45 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Clinical Psychology. Recurrent topics in Chen Gong's work include Health disparities and outcomes (3 papers), Misinformation and Its Impacts (3 papers) and Reinforcement Learning in Robotics (3 papers). Chen Gong is often cited by papers focused on Health disparities and outcomes (3 papers), Misinformation and Its Impacts (3 papers) and Reinforcement Learning in Robotics (3 papers). Chen Gong collaborates with scholars based in China, United States and United Kingdom. Chen Gong's co-authors include Lin Xiao, Suman Nath, Feng Zhao, Wenbo He, Jie Liu, Nanrun Zhou, Chengbo Li, Iris Chi, Lei Zhang and Xu Zhang and has published in prestigious journals such as Biosensors and Bioelectronics, Frontiers in Psychology and BMC Public Health.

In The Last Decade

Chen Gong

34 papers receiving 791 citations

Hit Papers

Energy-aware server provi... 2008 2026 2014 2020 2008 2024 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chen Gong 497 481 108 108 78 45 834
Mengjun Xie 367 0.7× 372 0.8× 245 2.3× 48 0.4× 46 0.6× 60 895
Lynne Blair 349 0.7× 228 0.5× 287 2.7× 87 0.8× 60 0.8× 58 782
Víctor A. Villagrá 368 0.7× 515 1.1× 329 3.0× 61 0.6× 32 0.4× 50 865
Liang Chen 127 0.3× 138 0.3× 220 2.0× 109 1.0× 17 0.2× 56 785
Robert Heinrich 470 0.9× 382 0.8× 306 2.8× 179 1.7× 11 0.1× 111 935
Yi Guo 187 0.4× 255 0.5× 216 2.0× 32 0.3× 210 2.7× 81 978
Vijay Chidambaram 257 0.5× 684 1.4× 196 1.8× 42 0.4× 318 4.1× 46 1.0k
Huned Materwala 571 1.1× 417 0.9× 161 1.5× 100 0.9× 13 0.2× 32 1.0k
Yunji Liang 198 0.4× 170 0.4× 233 2.2× 71 0.7× 12 0.2× 49 884
Johan Bengtsson 163 0.3× 127 0.3× 70 0.6× 19 0.2× 83 1.1× 33 763

Countries citing papers authored by Chen Gong

Since Specialization
Citations

This map shows the geographic impact of Chen Gong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Gong more than expected).

Fields of papers citing papers by Chen Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Gong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Gong. The network helps show where Chen Gong may publish in the future.

Co-authorship network of co-authors of Chen Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Gong. A scholar is included among the top collaborators of Chen Gong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen Gong. Chen Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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