Sun Li

1.9k citations
95 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Sun Li

84 papers receiving 1.2k citations

Sun Li's Hit Papers

CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels 2023 · 104 citations
1040+1+2Years since publication255075100

Peers

Sun Li
Comparison fields: 5 of 140
  • Computer Vision and Pattern Recognition 424
  • Media Technology 158
  • Biophysics 99
  • Human-Computer Interaction 88
  • Signal Processing 129
Replace Menghan Hu with:
Menghan Hu China
Hamid Reza Pourreza Iran
Vahid Abolghasemi United Kingdom
Kimiaki Shirahama Germany
Sokratis Makrogiannis United States
Yasuhiro Mukaigawa Japan
Gilson A. Giraldi Brazil
Francesca Odone Italy
Seyed Kamaledin Setarehdan Iran
Syed Aziz Shah United Kingdom
Sun Li relative to Menghan Hu China Menghan Hu's profile →
Citations per field
00.5×3.2×
Menghan Hu · 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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015262
2 2018127
3
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
Hit paper breakdown →
2023104
4 202091
5 201861
6 202159
7 201955
8 201749
9 201633
10 202030
11 202130
12 202321
13 201618
14 202016
15 202116
16 201716
17 201813
18 201713
19 202112
20 201912

About Sun Li

Sun Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote-Sensing Image Classification (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), AI in cancer detection (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Image Processing Techniques and Applications (5 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Media Technology (158 citations), Biophysics (99 citations), Human-Computer Interaction (88 citations) and Signal Processing (129 citations). Sun Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qingli Li, Kyu-Han Kim, Dimitrios Koutsonikolas, Souvik Sen, Mei Zhou, Menghan Hu, Siyuan Li, Ying Wen, Jiangang Chen and Song Qiu. Their work appears in journals such as Remote Sensing, Optics & Laser Technology, Frontiers in Microbiology, International Journal of Women s Health and Sustainability.

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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