Bing Hu

28 total papers · 468 total citations
16 papers, 315 citations indexed

About

Bing Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bing Hu has authored 16 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Bing Hu's work include Industrial Vision Systems and Defect Detection (4 papers), AI in cancer detection (3 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). Bing Hu is often cited by papers focused on Industrial Vision Systems and Defect Detection (4 papers), AI in cancer detection (3 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). Bing Hu collaborates with scholars based in China, United States and Canada. Bing Hu's co-authors include Jianhui Wang, Guitao Cao, Pengfei Shi, Simon Liao, Yuanguo Bi, Zheng Liu, Kuan Zhang, Jianhui Wang, Meng Sun and Guangjie Han and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Bing Hu

13 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Bing Hu 198 171 37 36 35 16 315
Xi Yang 125 0.6× 103 0.6× 62 1.7× 41 1.1× 38 1.1× 25 358
Wen Chen 43 0.2× 186 1.1× 17 0.5× 16 0.4× 57 1.6× 23 362
Domen Tabernik 140 0.7× 127 0.7× 14 0.4× 70 1.9× 43 1.2× 11 281
Xianen Zhou 166 0.8× 159 0.9× 24 0.6× 32 0.9× 51 1.5× 25 306
Xiaoqing Zheng 164 0.8× 81 0.5× 44 1.2× 52 1.4× 16 0.5× 30 314
Weibo Huang 95 0.5× 206 1.2× 55 1.5× 16 0.4× 20 0.6× 21 300
Li Xu 95 0.5× 163 1.0× 19 0.5× 64 1.8× 67 1.9× 27 278
Dan Li 223 1.1× 173 1.0× 40 1.1× 67 1.9× 21 0.6× 27 360
Zeyuan Huang 152 0.8× 144 0.8× 28 0.8× 46 1.3× 17 0.5× 14 268
Bin Zhang 85 0.4× 76 0.4× 60 1.6× 18 0.5× 21 0.6× 13 317

Countries citing papers authored by Bing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Hu

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