Chen Gong

19 total papers · 1.1k total citations
16 papers, 858 citations indexed

About

Chen Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems. According to data from OpenAlex, Chen Gong has authored 16 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Sensory Systems. Recurrent topics in Chen Gong's work include Advanced Image and Video Retrieval Techniques (6 papers), Visual Attention and Saliency Detection (5 papers) and Face and Expression Recognition (4 papers). Chen Gong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Visual Attention and Saliency Detection (5 papers) and Face and Expression Recognition (4 papers). Chen Gong collaborates with scholars based in China, Australia and Sweden. Chen Gong's co-authors include Jie Yang, Dacheng Tao, Wei Liu, Keren Fu, Stephen J. Maybank, Guoliang Kang, Qiang Wu, Liu Liu, Yong Shi and Juntao Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and Neurocomputing.

In The Last Decade

Chen Gong

16 papers receiving 845 citations

Author Peers

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

Author						Papers	Cites
Chen Gong	594	435	89	76	70	16	858
Yuzhu Ji	631 1.1×	234 0.5×	91 1.0×	32 0.4×	26 0.4×	30	979
Hongyang Li	799 1.3×	372 0.9×	90 1.0×	81 1.1×	12 0.2×	24	1.0k
Shuai Zheng	715 1.2×	115 0.3×	64 0.7×	164 2.2×	27 0.4×	19	866
Wan‐Lei Zhao	827 1.4×	199 0.5×	61 0.7×	22 0.3×	41 0.6×	45	996
Yu Zeng	501 0.8×	153 0.4×	66 0.7×	45 0.6×	18 0.3×	23	727
Jia Li	591 1.0×	223 0.5×	109 1.2×	8 0.1×	15 0.2×	26	909
Muhammad Iqbal	265 0.4×	499 1.1×	60 0.7×	10 0.1×	22 0.3×	51	946
Freeman	745 1.3×	152 0.3×	110 1.2×	8 0.1×	38 0.5×	15	1.0k
Liang Xie	799 1.3×	227 0.5×	74 0.8×	5 0.1×	31 0.4×	49	1.0k
Junru Wu	824 1.4×	81 0.2×	304 3.4×	19 0.3×	13 0.2×	10	946

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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