Zhenjun Han

2.5k total citations · 1 hit paper
52 papers, 1.4k citations indexed

About

Zhenjun Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zhenjun Han has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Zhenjun Han's work include Video Surveillance and Tracking Methods (31 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Zhenjun Han is often cited by papers focused on Video Surveillance and Tracking Methods (31 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Zhenjun Han collaborates with scholars based in China, United States and Australia. Zhenjun Han's co-authors include Qixiang Ye, Jianbin Jiao, Xuehui Yu, Yuqi Gong, Nan Jiang, Yao Ding, Jian Zhao, Fang Wan, Guorong Li and Jianzhuang Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Zhenjun Han

47 papers receiving 1.4k citations

Hit Papers

Effective Fusion Factor in FPN for Tiny Object Detection 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenjun Han China 18 1.1k 354 321 127 97 52 1.4k
Xingyu Zeng Hong Kong 14 1.1k 1.0× 287 0.8× 247 0.8× 113 0.9× 53 0.5× 18 1.3k
Zehuan Yuan China 18 1.6k 1.4× 566 1.6× 265 0.8× 237 1.9× 84 0.9× 44 2.0k
Siyuan Qiao United States 13 1.0k 0.9× 375 1.1× 185 0.6× 167 1.3× 67 0.7× 25 1.4k
Jan Hosang Germany 9 2.0k 1.7× 562 1.6× 324 1.0× 191 1.5× 87 0.9× 10 2.4k
Lewei Lu China 9 881 0.8× 328 0.9× 195 0.6× 116 0.9× 67 0.7× 19 1.3k
Cristiano Premebida Portugal 21 1.0k 0.9× 226 0.6× 424 1.3× 62 0.5× 150 1.5× 62 1.6k
Tianfu Wu United States 21 982 0.9× 218 0.6× 300 0.9× 111 0.9× 50 0.5× 79 1.5k
Claudius Gläser Germany 10 619 0.6× 257 0.7× 249 0.8× 84 0.7× 73 0.8× 31 1.1k
Zhen Jia China 9 820 0.7× 200 0.6× 215 0.7× 140 1.1× 128 1.3× 22 1.4k

Countries citing papers authored by Zhenjun Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhenjun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenjun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenjun Han. A scholar is included among the top collaborators of Zhenjun Han 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 Zhenjun Han. Zhenjun Han 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.
Wei, Longhui, et al.. (2025). ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts. IEEE Transactions on Image Processing. 34. 7209–7221.
2.
Yu, Yi, Xue Yang, Yansheng Li, et al.. (2025). Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4438–4454.
3.
Yu, Xuehui, Wenwen Yu, Guorong Li, et al.. (2024). ClickTrack: Towards real-time interactive single object tracking. Pattern Recognition. 161. 111211–111211.
4.
Li, Guorong, Yuankai Qi, Zhenjun Han, et al.. (2024). Consistency-Aware Anchor Pyramid Network for Crowd Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. PP. 1–15. 1 indexed citations
5.
Yu, Xuehui, Pengfei Chen, Guorong Li, et al.. (2024). CPR++: Object Localization via Single Coarse Point Supervision. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4908–4925. 4 indexed citations
6.
Wei, Zhaoyang, et al.. (2024). Semantic-aware SAM for Point-Prompted Instance Segmentation. 3585–3594. 8 indexed citations
7.
Li, Guorong, Yuankai Qi, Zhenjun Han, et al.. (2024). Weakly Supervised Video Individual Counting. 19228–19237.
8.
Chen, Pengfei, et al.. (2023). Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 221–234. 41 indexed citations
9.
Yu, Xuehui, Guorong Li, Jian Zhao, et al.. (2022). Rethinking Sampling Strategies for Unsupervised Person Re-Identification. IEEE Transactions on Image Processing. 32. 29–42. 38 indexed citations
10.
Li, Guorong, et al.. (2022). Self Supervised Progressive Network for High Performance Video Object Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7671–7684. 4 indexed citations
11.
Chen, Weidong, Yuankai Qi, Zhenjun Han, et al.. (2022). Multi-Attention Network for Compressed Video Referring Object Segmentation. Proceedings of the 30th ACM International Conference on Multimedia. 4416–4425. 32 indexed citations
12.
Jiang, Nan, Xuehui Yu, Qiang Wang, et al.. (2021). Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking. IEEE Transactions on Multimedia. 25. 486–500. 85 indexed citations
13.
Yu, Xuehui, Yuqi Gong, Nan Jiang, Qixiang Ye, & Zhenjun Han. (2020). Scale Match for Tiny Person Detection. 1246–1254. 222 indexed citations
14.
Han, Zhenjun, et al.. (2019). CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems. 21(11). 4593–4604. 8 indexed citations
15.
Pan, Gang, et al.. (2019). A bottom-up summarization algorithm for videos in the wild. EURASIP Journal on Advances in Signal Processing. 2019(1). 10 indexed citations
16.
Han, Zhenjun, et al.. (2018). Impostor Resilient Multimodal Metric Learning for Person Reidentification. Advances in Multimedia. 2018. 1–11. 3 indexed citations
17.
Zhao, Heng, et al.. (2017). Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning. 3405–3409. 1 indexed citations
18.
Zhang, Liguo, Wei Ke, Zhenjun Han, & Jianbin Jiao. (2013). A cross structured light sensor for weld line detection on wall-climbing robot. 31. 1179–1184. 9 indexed citations
19.
Ye, Qixiang, Zhenjun Han, Jianbin Jiao, & Jianzhuang Liu. (2012). Human Detection in Images via Piecewise Linear Support Vector Machines. IEEE Transactions on Image Processing. 22(2). 778–789. 37 indexed citations
20.
Han, Zhenjun, Jianbin Jiao, Baochang Zhang, Qixiang Ye, & Jianzhuang Liu. (2011). Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR). Pattern Recognition. 44(9). 2170–2183. 63 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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