Shoudong Han

752 total citations
24 papers, 491 citations indexed

About

Shoudong Han is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shoudong Han has authored 24 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shoudong Han's work include Video Surveillance and Tracking Methods (10 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Shoudong Han is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Shoudong Han collaborates with scholars based in China, Singapore and United States. Shoudong Han's co-authors include En Yu, Hongwei Wang, Zhuoling Li, Wenbing Tao, Xue‐Cheng Tai, Kai Chen, Tianjiang Wang, Yong Yang, Zexuan Ji and Tao Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Shoudong Han

22 papers receiving 467 citations

Peers

Shoudong Han

CVPR

SRRQ

Zehua Fu China

Xiaohuan Lu China

Xiu Shu China

Qiankun Liu China

Nima Razavi Switzerland

Zhiqiang Hou China

Erhan Gündoğdu Türkiye

Tim Meinhardt Germany

Xuefeng Zhu China

Zehua Fu China

Shoudong Han

441 ×1.0

CVPR

97 ×1.2

137 ×2.0

69 ×1.1

SRRQ

31 ×0.9

Citations per year, relative to Shoudong Han Shoudong Han (= 1×) peers Zehua Fu

Countries citing papers authored by Shoudong Han

Since Specialization

Citations

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

Fields of papers citing papers by Shoudong Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoudong Han

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

All Works

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20 of 20 papers shown

Han, Shoudong, et al.. (2025). Enhance Heads in Vision Transformer for Occluded Person Re-Identification. IEEE Sensors Journal. 25(4). 6894–6904. 1 indexed citations

Han, Shoudong, et al.. (2024). Focus and imagine: Occlusion suppression and repairing transformer for occluded person re-identification. Neurocomputing. 578. 127442–127442. 7 indexed citations

Han, Shoudong, et al.. (2024). Head-Dominant Enhancement With Local Count for Better Human Detection in Crowds. IEEE Transactions on Automation Science and Engineering. 22. 8794–8804. 2 indexed citations

Han, Shoudong, et al.. (2023). ORT: Occlusion-robust for multi-object tracking. Fundamental Research. 5(3). 1214–1220. 3 indexed citations

Yu, En, Zhuoling Li, & Shoudong Han. (2022). Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8824–8833. 39 indexed citations

Yu, En, Zhuoling Li, Shoudong Han, & Hongwei Wang. (2022). RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation. IEEE Transactions on Multimedia. 25. 2686–2697. 118 indexed citations

Han, Shoudong, et al.. (2021). Poisson kernel: Avoiding self-smoothing in graph convolutional networks. Pattern Recognition. 124. 108443–108443. 2 indexed citations

Bai, Tao, Jun Zhao, Jinlin Zhu, et al.. (2021). Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method. IEEE Internet of Things Journal. 9(3). 1875–1884. 4 indexed citations

Han, Shoudong, et al.. (2019). Deformed landmark fitting for sequential faces. Journal of Visual Communication and Image Representation. 62. 381–393. 4 indexed citations

10.

Chen, Kai, Wenbing Tao, & Shoudong Han. (2017). Visual object tracking via enhanced structural correlation filter. Information Sciences. 394-395. 232–245. 23 indexed citations

11.

Deng, Shuo, Shoudong Han, & Yujun Liu. (2016). Image segmentation based on deformed multiresolution graph cuts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10033. 1003319–1003319.

12.

Han, Shoudong, Wei Xu, Wenbing Tao, & Yang Chen. (2016). Color-texture cosegmentation based on nonlinear compact multi-scale structure tensor and TV-flow. Signal Processing. 131. 456–471. 3 indexed citations

13.

Wang, Tao, Zexuan Ji, Quansen Sun, Qiang Chen, & Shoudong Han. (2015). Image segmentation based on weighting boundary information via graph cut. Journal of Visual Communication and Image Representation. 33. 10–19. 18 indexed citations

14.

Wang, Tao, Zexuan Ji, Quansen Sun, & Shoudong Han. (2015). Combining pixel-level and patch-level information for segmentation. Neurocomputing. 158. 13–25. 7 indexed citations

15.

Yang, Yong, Shoudong Han, Tianjiang Wang, Wenbing Tao, & Xue‐Cheng Tai. (2012). Multilayer graph cuts based unsupervised color–texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognition. 46(4). 1101–1124. 33 indexed citations

16.

Han, Shoudong. (2011). Product conceptual design method based on case-based decision. Computer Integrated Manufacturing Systems.

17.

Han, Shoudong, Yong Zhao, Wenbing Tao, & Nong Sang. (2011). Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts. ACTA AUTOMATICA SINICA. 37(1). 11–20. 13 indexed citations

18.

Han, Shoudong, et al.. (2010). Texture segmentation using independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space. Pattern Recognition. 44(3). 503–518. 25 indexed citations

19.

Han, Shoudong, et al.. (2009). Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor. IEEE Transactions on Image Processing. 18(10). 2289–2302. 71 indexed citations

20.

Han, Shoudong, et al.. (2009). Fast image segmentation based on multilevel banded closed-form method. Pattern Recognition Letters. 31(3). 216–225. 6 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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