Shuanglin Yan

726 citations
11 papers · 399 indexed · 1 hit paper · h-index 8
Topics
Video Surveillance and Tracking Methods (10 papers)Advanced Image and Video Retrieval Techniques (3 papers)Face recognition and analysis (3 papers)

In The Last Decade

Shuanglin Yan

9 papers receiving 390 citations

Hit Papers

CLIP-Driven Fine-Grained Text-Image Person Re-Identification202320262024202520234080120

Peers

Shuanglin Yan
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 328
  • Biomedical Engineering 80
  • Artificial Intelligence 67
  • Media Technology 27
  • Signal Processing 22
Replace Neng Dong with:
Neng Dong China
Qin Zhou China
Houjing Huang China
Karlekar Jayashree Singapore
Yuhao Chen China
Yu-Jhe Li Taiwan
Minki Jeong South Korea
Nick C. Tang Taiwan
E.L. Andrade United Kingdom
Shuanglin Yan relative to Neng Dong China Neng Dong's profile →
Citations per field
00.5×1.5×2.3×
Neng Dong · 1×
Citations per year

Countries citing papers authored by Shuanglin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuanglin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuanglin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuanglin Yan. A scholar is included among the top collaborators of Shuanglin Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuanglin Yan. Shuanglin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 31
5
CLIP-Driven Fine-Grained Text-Image Person Re-Identificationbreakdown →
130
6 39
7 66
8 31
9 22
10 20
11 58

About Shuanglin Yan

Shuanglin Yan is a scholar working on Computer Vision and Pattern Recognition, Transportation and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 399 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Media Technology (27 citations) and Transportation (19 citations). Shuanglin Yan has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Jinhui Tang, Liyan Zhang, Neng Dong, Hao Tang, Zhengtao Yu, Dapeng Tao, Huafeng Li, Liyan Zhang, Jun Liu and Hao Tang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

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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