Bin He

1.9k citations
80 papers · 894 · h-index 19

Impact in

Papers in

Bin He

66 papers receiving 874 citations

Peers

Bin He
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 316
  • Media Technology 121
  • Artificial Intelligence 447
  • Computer Graphics and Computer-Aided Design 29
  • Health Informatics 10
Replace Zedong Tang with:
Zedong Tang China
Dylan Anderson United States
Xu Yang China
Mario Lučić United States
Gautier Izacard France
Joshua Ainslie United States
Zhenyu Wu China
Jiun-Hung Chen United States
Alastair Moore United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Bin He

Since Specialization
Citations

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

Fields of papers citing papers by Bin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin He Line = papers co-authored together Bin He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201856
3 201952
4 201852
5 202251
6 202045
7 201737
8 201534
9 202031
10 202031
11 201830
12 202028
13 201726
14 201725
15 201924
16
Space optical remote sensor image motion velocity vector computational modeling, error budget and synthesis
200522
17 202122
18 200919
19 202119
20 202018

About Bin He

Bin He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Aerospace Engineering, having authored 80 papers that have together received 894 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (16 papers), Advanced Image and Video Retrieval Techniques (7 papers), Handwritten Text Recognition Techniques (6 papers), Advanced Text Analysis Techniques (6 papers), Advanced Image Fusion Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Infrared Target Detection Methodologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Media Technology (121 citations), Artificial Intelligence (447 citations), Computer Graphics and Computer-Aided Design (29 citations) and Health Informatics (10 citations). Bin He has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Yi Guan, Boxin Shi, Xu Sun, Rui Dai, Ling‐Yu Duan, Zhiyuan Zhang, Xuancheng Ren, Ting Nie, Xinguo Yu and Lei Li. Their work appears in journals such as Journal of Biomedical Informatics, Measurement, Remote Sensing, Journal of Biophotonics and Information Fusion.

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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