Sun Li

2.1k citations
106 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Sun Li

95 papers receiving 1.4k citations

Sun Li's Hit Papers

CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels 2023 · 147 citations
1470+1+2Years since publication4080120

Peers

Sun Li
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 469
  • Media Technology 181
  • Biophysics 107
  • Human-Computer Interaction 89
  • Signal Processing 133
Replace Scott E. Umbaugh with:
Scott E. Umbaugh United States
Menghan Hu China
Zhitao Xiao China
Kimiaki Shirahama Germany
Vahid Abolghasemi United Kingdom
Bin Sheng China
Sokratis K. Makrogiannis United States
Jianbo Jiao United Kingdom
Chulhee Lee South Korea
Steve Warren United States
Sun Li relative to Scott E. Umbaugh United States Scott E. Umbaugh's profile →
Citations per field
00.5×20×40×52×
Scott E. Umbaugh · 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 106 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 →
2023147
3 2018132
4 2020107
5 201866
6 201965
7 202161
8 202035
9 201635
10 202131
11 202323
12 201719
13 202118
14 201618
15 202016
16 201714
17 201813
18 201913
19 201813
20 202113

About Sun Li

Sun Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Artificial Intelligence and Analytical Chemistry, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote-Sensing Image Classification (7 papers), AI in cancer detection (6 papers), Advanced Image Processing Techniques (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (469 citations), Media Technology (181 citations), Biophysics (107 citations), Human-Computer Interaction (89 citations) and Signal Processing (133 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, Souvik Sen, Mei Zhou, Siyuan Li, Menghan Hu, Ying Wen, Jiangang Chen and Song Qiu. Their work appears in journals such as Remote Sensing, Journal of Bacteriology, Frontiers in Microbiology, Sustainability and International Journal of Environmental Research and Public 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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