Chao Jing

31 total papers · 541 total citations
25 papers, 396 citations indexed

About

Chao Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chao Jing has authored 25 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Chao Jing's work include Neural Networks and Applications (6 papers), Speech and Audio Processing (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Chao Jing is often cited by papers focused on Neural Networks and Applications (6 papers), Speech and Audio Processing (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Chao Jing collaborates with scholars based in China, Japan and United States. Chao Jing's co-authors include Furao Shen, Jinxi Zhao, Junfei Chen, Shigeo Tsujii, Ping Wei, Mitchell Taibleson, Hongbin Sun, Nanning Zheng, Lijun Cheng and Can Zhao and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and Neurocomputing.

In The Last Decade

Chao Jing

22 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Chao Jing 132 116 100 77 63 25 396
Zahra Hajirahimi 237 1.8× 108 0.9× 203 2.0× 26 0.3× 57 0.9× 16 431
Konstantinos Benidis 186 1.4× 115 1.0× 89 0.9× 30 0.4× 37 0.6× 12 437
Furao Shen 139 1.1× 140 1.2× 100 1.0× 52 0.7× 64 1.0× 21 353
Nima Reyhani 114 0.9× 158 1.4× 110 1.1× 31 0.4× 17 0.3× 19 388
Fan Yang 96 0.7× 93 0.8× 165 1.6× 34 0.4× 23 0.4× 18 412
Gang Xiao 60 0.5× 78 0.7× 72 0.7× 47 0.6× 16 0.3× 51 393
Laurent Callot 184 1.4× 62 0.5× 77 0.8× 19 0.2× 114 1.8× 18 438
M. M. Gabr 65 0.5× 111 1.0× 28 0.3× 16 0.2× 99 1.6× 23 431
Khaled Al-Thelaya 164 1.2× 81 0.7× 97 1.0× 43 0.6× 51 0.8× 19 350
Wendong Zheng 76 0.6× 134 1.2× 91 0.9× 33 0.4× 14 0.2× 13 356

Countries citing papers authored by Chao Jing

Since Specialization
Citations

This map shows the geographic impact of Chao Jing'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 Chao Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Jing more than expected).

Fields of papers citing papers by Chao Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Jing. 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 Chao Jing. The network helps show where Chao Jing may publish in the future.

Co-authorship network of co-authors of Chao Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Jing. A scholar is included among the top collaborators of Chao Jing 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 Chao Jing. Chao Jing 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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