Feng Zheng

6.0k total citations · 5 hit papers
133 papers, 3.6k citations indexed

About

Feng Zheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Feng Zheng has authored 133 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 18 papers in Biomedical Engineering. Recurrent topics in Feng Zheng's work include Video Surveillance and Tracking Methods (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Human Pose and Action Recognition (26 papers). Feng Zheng is often cited by papers focused on Video Surveillance and Tracking Methods (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Human Pose and Action Recognition (26 papers). Feng Zheng collaborates with scholars based in China, United Kingdom and United States. Feng Zheng's co-authors include Ling Shao, Zhan Song, Liang Wang, Hanxuan Yang, Rongrong Ji, Jinbao Wang, Jingkuan Song, Xinyang Jiang, Xing Sun and Cheng Deng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Feng Zheng

126 papers receiving 3.5k citations

Hit Papers

Recent advances and trends in visual tracking: A review 2011 2026 2016 2021 2011 2019 2021 2024 2025 100 200 300 400
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. Recent advances and trends in visual tracking: A review
    2011 437 citations Ling Shao, Feng Zheng et al. profile →
  2. Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
    2019 292 citations Feng Zheng, Xing Sun et al. profile →
  3. Deep 3D human pose estimation: A review
    2021 209 citations Jinbao Wang, Xiantong Zhen et al. profile →
  4. Deep Industrial Image Anomaly Detection: A Survey
    2024 108 citations Guoyang Xie, Jinbao Wang et al. profile →
  5. Video Understanding With Large Language Models: A Survey
    2025 16 citations Yunlong Tang, Jie An et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers

Feng Zheng
Yanghao Li China
Jason J. Corso United States
Xiantong Zhen China
Yinpeng Chen United States
Manohar Paluri United States
Son Lam Phung Australia
Arif Mahmood Pakistan
R. Venkatesh Babu India
Liang Zhang China
Yaowei Wang China
Yanghao Li China
Feng Zheng
Citations per year, relative to Feng Zheng Feng Zheng (= 1×) peers Yanghao Li

Countries citing papers authored by Feng Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zheng. A scholar is included among the top collaborators of Feng Zheng 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 Feng Zheng. Feng Zheng 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.
Zhou, Shengli, Yang Liu, & Feng Zheng. (2025). Learn 3D VQA Better with Active Selection and Reannotation. 4610–4618. 1 indexed citations
2.
Tang, Yunlong, Jie An, Feng Zheng, et al.. (2025). Video Understanding With Large Language Models: A Survey. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1355–1376. 16 indexed citations breakdown →
3.
Duan, Jinming, et al.. (2025). UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10280–10294.
4.
Chen, Hong, Xuelin Zhang, Tieliang Gong, Bin Gu, & Feng Zheng. (2024). Error Density-dependent Empirical Risk Minimization. Expert Systems with Applications. 254. 124332–124332.
5.
Liu, Yong, et al.. (2024). Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1887–1895. 7 indexed citations
6.
Zhuge, Mingchen, et al.. (2023). Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2901–2909. 8 indexed citations
7.
Wang, Jinbao, Xiantong Zhen, Jingkuan Song, et al.. (2023). Continuous cross-modal hashing. Pattern Recognition. 142. 109662–109662. 3 indexed citations
8.
Zheng, Feng, et al.. (2023). Comparison of ANN and LR models for predicting Carbapenem-resistant Klebsiella pneumoniae isolates from a southern province of China's RNSS data. Journal of Global Antimicrobial Resistance. 36. 453–459. 2 indexed citations
9.
Zheng, Feng, et al.. (2023). Allowing Supervision in Unsupervised Deformable- Instances Image-to-Image Translation. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5335–5349. 2 indexed citations
10.
Xie, Guoyang, Yawen Huang, Jinbao Wang, et al.. (2023). Cross-modality Neuroimage Synthesis: A Survey. ACM Computing Surveys. 56(3). 1–28. 6 indexed citations
11.
Gao, Lianli, Jingkuan Song, Yuan-Fang Li, et al.. (2022). Label-Guided Generative Adversarial Network for Realistic Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3311–3328. 15 indexed citations
12.
Zheng, Feng, et al.. (2022). Show, Tell and Rephrase: Diverse Video Captioning via Two-Stage Progressive Training. IEEE Transactions on Multimedia. 25. 7894–7905. 2 indexed citations
13.
Jiang, Xinyang, et al.. (2022). Conditional Feature Embedding by Visual Clue Correspondence Graph for Person Re-Identification. IEEE Transactions on Image Processing. 31. 6188–6199. 2 indexed citations
14.
Liu, Deyin, Lin Wu, Feng Zheng, Lingqiao Liu, & Meng Wang. (2022). Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8589–8601. 25 indexed citations
15.
Cong, Runmin, Chen Zhang, Feng Zheng, et al.. (2022). Does Thermal Really Always Matter for RGB-T Salient Object Detection?. IEEE Transactions on Multimedia. 25. 6971–6982. 68 indexed citations
16.
Gao, Mingqi, Feng Zheng, James J. Q. Yu, et al.. (2022). Deep learning for video object segmentation: a review. Artificial Intelligence Review. 56(1). 457–531. 55 indexed citations
17.
Bi, Hongbo, Cong Zhang, Kang Wang, Jinghui Tong, & Feng Zheng. (2021). Rethinking Camouflaged Object Detection: Models and Datasets. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 5708–5724. 66 indexed citations
18.
Chen, Xuesong, Yong Zhao, Feng Zheng, et al.. (2020). Salience-Guided Cascaded Suppression Network for Person Re-Identification. 3297–3307. 172 indexed citations
19.
Zheng, Feng, et al.. (2018). A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training.. arXiv (Cornell University). 8 indexed citations
20.
Zheng, Feng & Ling Shao. (2016). Learning cross-view binary identities for fast person re-identification. Northumbria Research Link (Northumbria University). 2399–2406. 35 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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