Bin Yan

2.5k citations
48 papers · 812 · 1 hit paper · h-index 12

Impact in

Papers in

Bin Yan

37 papers receiving 776 citations

Bin Yan's Hit Papers

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking 2024 · 56 citations
560+1Years since publication1020304050

Peers

Bin Yan
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 619
  • Safety, Risk, Reliability and Quality 100
  • Aerospace Engineering 202
  • Media Technology 51
  • Human-Computer Interaction 22
Replace Yutao Cui with:
Yutao Cui China
Xuenan Cui South Korea
Kan Wu China
Jack Valmadre Australia
Laura Sevilla-Lara United States
Horst Possegger Austria
Zhizhong Zhang China
Bin Yan relative to Yutao Cui China Yutao Cui's profile →
Citations per field
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Yutao Cui · 1×
Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Yan, 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 Yan Line = papers co-authored together Bin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021161
2 2021159
3 2019139
4 202372
5
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
Hit paper breakdown →
202456
6 201950
7 202019
8 201819
9 201616
10 200615
11 201012
12 201412
13 201210
14 20146
15 20196
16 20225
17 20195
18 20235
19 20145
20 20145

About Bin Yan

Bin Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Networks and Communications and Media Technology, having authored 48 papers that have together received 812 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Advanced X-ray and CT Imaging (8 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Enhancement Techniques (5 papers), Medical Image Segmentation Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (619 citations), Safety, Risk, Reliability and Quality (100 citations), Aerospace Engineering (202 citations), Media Technology (51 citations) and Human-Computer Interaction (22 citations). Bin Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huchuan Lu, Dong Wang, Xiaoyun Yang, Xinyu Zhang, Haojie Zhao, Houwen Peng, Jianlong Fu, Kan Wu, Run Ye and Jiannan Wu. Their work appears in journals such as Journal of X-Ray Science and Technology, Wireless Networks, The Visual Computer, Optik and Journal of Asian Architecture and Building Engineering.

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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