Fei Su

4.3k total citations · 1 hit paper
166 papers, 2.2k citations indexed

About

Fei Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fei Su has authored 166 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 24 papers in Signal Processing. Recurrent topics in Fei Su's work include Video Surveillance and Tracking Methods (37 papers), Human Pose and Action Recognition (28 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Fei Su is often cited by papers focused on Video Surveillance and Tracking Methods (37 papers), Human Pose and Action Recognition (28 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Fei Su collaborates with scholars based in China, United Kingdom and United States. Fei Su's co-authors include Zhicheng Zhao, Hongying Meng, Yunhao Du, Yang Song, Tao Gong, Leiquan Wang, Anni Cai, Weichen Sun, Yaofeng Sun and J.H.L. Pang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and American Journal Of Pathology.

In The Last Decade

Fei Su

155 papers receiving 2.1k citations

Hit Papers

StrongSORT: Make DeepSORT Great Again 2023 2026 2024 2025 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. StrongSORT: Make DeepSORT Great Again
    2023 507 citations Yunhao Du, Zhicheng Zhao et al. IEEE Transactions on Multimedia profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fei Su China 20 1.3k 425 269 200 178 166 2.2k
Douglas Chai Australia 20 1.7k 1.3× 243 0.6× 235 0.9× 258 1.3× 89 0.5× 87 2.7k
Javier Ruiz‐del‐Solar Chile 27 1.1k 0.9× 440 1.0× 207 0.8× 279 1.4× 84 0.5× 143 2.1k
Dan Xu China 22 1.4k 1.1× 670 1.6× 148 0.6× 218 1.1× 99 0.6× 332 2.6k
Heikki Kälviäinen Finland 23 1.5k 1.1× 332 0.8× 195 0.7× 135 0.7× 107 0.6× 112 2.6k
Michael S. Lew Netherlands 16 1.3k 1.0× 728 1.7× 155 0.6× 169 0.8× 106 0.6× 34 2.7k
Uvais Qidwai Qatar 18 809 0.6× 330 0.8× 103 0.4× 245 1.2× 300 1.7× 115 2.2k
George Azzopardi Netherlands 22 1.0k 0.8× 293 0.7× 115 0.4× 299 1.5× 181 1.0× 74 2.2k
Kang Park South Korea 25 1.4k 1.1× 132 0.3× 464 1.7× 245 1.2× 86 0.5× 97 2.3k
Othman Omran Khalifa Malaysia 24 788 0.6× 487 1.1× 330 1.2× 511 2.6× 580 3.3× 295 2.6k
Xin Yang China 27 2.4k 1.9× 587 1.4× 107 0.4× 216 1.1× 257 1.4× 230 3.7k

Countries citing papers authored by Fei Su

Since Specialization
Citations

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

Fields of papers citing papers by Fei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Su. A scholar is included among the top collaborators of Fei Su 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 Fei Su. Fei Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Meng, et al.. (2025). Now and future of artificial intelligence-based signet ring cell diagnosis: A survey. Expert Systems with Applications. 296. 129188–129188.
2.
Qing, Linbo, et al.. (2024). DRFormer: A Discriminable and Reliable Feature Transformer for Person Re-Identification. IEEE Transactions on Information Forensics and Security. 20. 980–995. 1 indexed citations
3.
Su, Fei, et al.. (2023). Severe Precipitation Recognition Using Attention-UNet of Multichannel Doppler Radar. Remote Sensing. 15(4). 1111–1111. 4 indexed citations
4.
Du, Yunhao, et al.. (2023). Video-Based Visible-Infrared Person Re-Identification With Auxiliary Samples. IEEE Transactions on Information Forensics and Security. 19. 1313–1325. 12 indexed citations
5.
Du, Yunhao, Zhicheng Zhao, Yang Song, et al.. (2023). StrongSORT: Make DeepSORT Great Again. IEEE Transactions on Multimedia. 25. 8725–8737. 507 indexed citations breakdown →
6.
Su, Fei, et al.. (2021). Research on College Students’ Course Selection Recommendation Model Based on Big Data and Cloud Computing. Journal of Physics Conference Series. 1982(1). 12203–12203. 3 indexed citations
7.
Zhao, Zhicheng, Fei Su, Yanyun Zhao, et al.. (2020). Deep Multi-Patch Matching Network for Visible Thermal Person Re-Identification. IEEE Transactions on Multimedia. 23. 1474–1488. 33 indexed citations
8.
Zhu, Meng, et al.. (2020). Triple Up-Sampling Segmentation Network With Distribution Consistency Loss for Pathological Diagnosis of Cervical Precancerous Lesions. IEEE Journal of Biomedical and Health Informatics. 25(7). 2673–2685. 5 indexed citations
9.
Chen, Guan‐Yu, Chong Chen, Xinyu Li, et al.. (2019). BUPT-MCPRL at TRECVID 2019: ActEV and INS.. TRECVID. 2 indexed citations
10.
Zhao, Yanyun, et al.. (2019). Unsupervised Traffic Anomaly Detection Using Trajectories. Computer Vision and Pattern Recognition. 133–140. 13 indexed citations
11.
Su, Fei. (2019). Art Teaching Reform in the Context of Transformation of Local Colleges and Universities.
12.
Wang, Zhipeng, et al.. (2017). BUPT-MCPRL at TRECVID 2017.. TRECVID.
13.
Shao, Jie, et al.. (2017). Towards Improving Canonical Correlation Analysis for Cross-modal Retrieval. 332–339. 7 indexed citations
14.
Zhao, Zhicheng, Rui Xiang, & Fei Su. (2017). Complex event detection via attention-based video representation and classification. Multimedia Tools and Applications. 77(3). 3209–3227. 7 indexed citations
15.
Zhao, Zhicheng, et al.. (2017). Person re-identification via integrating patch-based metric learning and local salience learning. Pattern Recognition. 75. 90–98. 25 indexed citations
16.
Sun, Weichen & Fei Su. (2015). Regularization of deep neural networks using a novel companion objective function. 2865–2869. 3 indexed citations
17.
Ji, Hao, Risheng Liu, Fei Su, Zhixun Su, & Yan Tian. (2011). Robust head pose estimation via Convex Regularized Sparse Regression. 3617–3620. 19 indexed citations
18.
Su, Fei, Zhaowen Lin, & Yan Ma. (2009). Effects of firewall on worm propagation. 880–884. 2 indexed citations
19.
Su, Fei. (2007). Study on the Trend and Driving Factors of Cultivated Land Area Change in Liaoning Province. Anhui nongye kexue.
20.
Su, Fei, et al.. (2006). A hierachical fingerprint matching method based on the minutiae and ridge image. International Conference on Signal Processing. 83–88. 1 indexed citations

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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