Sun Li

1.9k citations
96 papers · 1.4k · 1 hit paper · h-index 14

Impact in

Papers in

Sun Li

87 papers receiving 1.3k citations

Sun Li's Hit Papers

CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels 2023 · 164 citations
1640+1+2Years since publication50100150

Peers

Sun Li
Comparison fields: 5 of 69
  • Human-Computer Interaction 101
  • Computer Vision and Pattern Recognition 352
  • Media Technology 67
  • Artificial Intelligence 128
  • Critical Care and Intensive Care Medicine 9
Replace Jianbo Jiao with:
Jianbo Jiao United Kingdom
Timo Ropinski Germany
Lalit Gupta United States
Kazuhiko Hamamoto Japan
Cindy M. Grimm United States
Brendan Mccane A New Zealand
Yung-Fu Chen Taiwan
Jamie Ray United States
Filipe Rolim Cordeiro Brazil
Sun Li relative to Jianbo Jiao United Kingdom Jianbo Jiao's profile →
Citations per field
00.5×2×4×5.1×
Jianbo Jiao · 1×
Citations per year

Countries citing papers authored by Sun Li

Since Specialization
Citations

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

Fields of papers citing papers by Sun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015271
2
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
Hit paper breakdown →
2023164
3 2018132
4 2020110
5 201967
6 201866
7 202162
8 202036
9 201635
10 202131
11 201618
12 202118
13 202016
14 201714
15 201914
16 202114
17 201813
18 201813
19 201812
20 202312

About Sun Li

Sun Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Management Science and Operations Research and Human-Computer Interaction, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), AI in cancer detection (6 papers), Digital Imaging for Blood Diseases (4 papers), Remote-Sensing Image Classification (3 papers), Advanced Neural Network Applications (3 papers), Multi-Criteria Decision Making (3 papers), Face recognition and analysis (2 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Human-Computer Interaction (101 citations), Computer Vision and Pattern Recognition (352 citations), Media Technology (67 citations), Artificial Intelligence (128 citations) and Critical Care and Intensive Care Medicine (9 citations). Sun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingli Li, Kyu-Han Kim, Dimitrios Koutsonikolas, Mei Zhou, Siyuan Li, Menghan Hu, Ying Wen, Jiangang Chen, Song Qiu and Yan Wang. Their work appears in journals such as Remote Sensing, Journal of Optics, IEEE Transactions on Image Processing, IEEE Access and International Journal of Women s Health.

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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