Weiming Hu

24.1k total citations · 10 hit papers
306 papers, 11.5k citations indexed

About

Weiming Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Weiming Hu has authored 306 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 246 papers in Computer Vision and Pattern Recognition, 97 papers in Artificial Intelligence and 34 papers in Biomedical Engineering. Recurrent topics in Weiming Hu's work include Video Surveillance and Tracking Methods (101 papers), Human Pose and Action Recognition (85 papers) and Advanced Image and Video Retrieval Techniques (52 papers). Weiming Hu is often cited by papers focused on Video Surveillance and Tracking Methods (101 papers), Human Pose and Action Recognition (85 papers) and Advanced Image and Video Retrieval Techniques (52 papers). Weiming Hu collaborates with scholars based in China, United Kingdom and United States. Weiming Hu's co-authors include Stephen J. Maybank, Bing Li, Tieniu Tan, Liang Wang, Chunfeng Yuan, Junliang Xing, Luca Bertinetto, Li Zhang, Zhongfei Zhang and Philip H. S. Torr and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Weiming Hu

291 papers receiving 11.1k citations

Hit Papers

Fast Online Object Tracki... 2003 2026 2010 2018 2019 2003 2013 2018 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Hu China 51 8.8k 3.0k 1.2k 1.1k 799 306 11.5k
Stephen J. Maybank United Kingdom 47 9.2k 1.0× 3.9k 1.3× 1.3k 1.1× 1.2k 1.1× 1.2k 1.6× 161 12.8k
Rongrong Ji China 68 14.7k 1.7× 6.6k 2.2× 1.1k 0.9× 1.3k 1.1× 833 1.0× 477 19.7k
Liang Lin China 66 11.9k 1.4× 4.8k 1.6× 1.1k 0.9× 680 0.6× 485 0.6× 432 15.9k
Bernard Ghanem Saudi Arabia 41 7.0k 0.8× 3.0k 1.0× 849 0.7× 871 0.8× 483 0.6× 206 9.6k
Larry S. Davis United States 65 13.9k 1.6× 4.8k 1.6× 1.3k 1.1× 1.6k 1.5× 1.1k 1.4× 347 17.3k
Gang Hua United States 52 8.0k 0.9× 2.4k 0.8× 521 0.4× 774 0.7× 860 1.1× 251 10.0k
Pedro F. Felzenszwalb United States 25 15.5k 1.8× 3.0k 1.0× 941 0.8× 2.3k 2.1× 500 0.6× 39 17.9k
Jungong Han China 59 11.0k 1.2× 3.9k 1.3× 1.2k 1.0× 1.4k 1.3× 551 0.7× 357 15.0k
Nuno Vasconcelos United States 57 11.2k 1.3× 6.1k 2.1× 706 0.6× 536 0.5× 1.0k 1.3× 224 14.3k
Fatih Porikli Australia 54 10.5k 1.2× 2.4k 0.8× 543 0.4× 1.0k 0.9× 510 0.6× 240 12.6k

Countries citing papers authored by Weiming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Hu. A scholar is included among the top collaborators of Weiming Hu 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 Weiming Hu. Weiming Hu 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.
Lu, Yifan, Ziqi Zhang, Chunfeng Yuan, et al.. (2024). Set Prediction Guided by Semantic Concepts for Diverse Video Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3909–3917. 1 indexed citations
2.
Hu, Weiming, Qiang Wang, Jin Gao, Bing Li, & Stephen J. Maybank. (2024). DCFNet: Discriminant Correlation Filters Network for Visual Tracking. Journal of Computer Science and Technology. 39(3). 691–714. 4 indexed citations
3.
Hu, Weiming, et al.. (2024). Comparative study about the therapeutic effect of cTBS and rTMS in the treatment of auditory verbal hallucinations in schizophrenia. Postgraduate Medical Journal. 101(1193). 203–211. 2 indexed citations
4.
Liu, Yufan, et al.. (2024). iESTA: Instance-Enhanced Spatial–Temporal Alignment for Video Copy Localization. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4409–4422.
5.
Hou, Liang, Yuan Gao, Pengfei Wan, et al.. (2024). I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models. 1–12. 8 indexed citations
6.
Ma, Zongyang, Chunfeng Yuan, Yuxin Chen, et al.. (2024). Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5192–5208. 2 indexed citations
7.
Li, Xiaoyan, Weiming Hu, Haoyuan Chen, et al.. (2023). EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks. Frontiers in Medicine. 10. 1114673–1114673. 15 indexed citations
8.
Hu, Weiming, Xintong Li, Chen Li, et al.. (2023). A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Computers in Biology and Medicine. 161. 107034–107034. 41 indexed citations
9.
Hu, Weiming, Chen Li, Md Mamunur Rahaman, et al.. (2023). EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation. Physica Medica. 107. 102534–102534. 22 indexed citations
10.
Zhang, Zhipeng, et al.. (2022). Rethinking the Competition Between Detection and ReID in Multiobject Tracking. IEEE Transactions on Image Processing. 31. 3182–3196. 201 indexed citations breakdown →
11.
Shi, Yaya, Xu Yang, Haiyang Xu, et al.. (2022). EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17908–17917. 21 indexed citations
12.
Zhang, Zhipeng, Bing Li, Pei Wang, et al.. (2021). Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm. IEEE Transactions on Image Processing. 30. 8439–8453. 16 indexed citations
13.
Chen, Yuxin, Chunfeng Yuan, Bing Li, et al.. (2020). Graph convolutional network with structure pooling and joint-wise channel attention for action recognition. Pattern Recognition. 103. 107321–107321. 52 indexed citations
14.
Wang, Qiang, Li Zhang, Luca Bertinetto, Weiming Hu, & Philip H. S. Torr. (2019). Fast Online Object Tracking and Segmentation: A Unifying Approach. 1328–1338. 955 indexed citations breakdown →
15.
Hu, Weiming, Li Hui, Wei‐Ting Wang, et al.. (2019). Influence of sleep disturbance, depression and anxiety on cognitive function of medical staff. Zhonghua xingwei yixue yu naokexue zazhi. 28(7). 586–591. 1 indexed citations
16.
Yang, Zhao, Qiang Wang, Luca Bertinetto, et al.. (2019). Anchor Diffusion for Unsupervised Video Object Segmentation. 931–940. 69 indexed citations
17.
Fu, Zhouyu, et al.. (2015). Optimizing locally linear classifiers with supervised anchor point learning. International Conference on Artificial Intelligence. 3699–3706. 5 indexed citations
18.
Wu, Ou, Weiming Hu, & Jun Gao. (2011). Learning to rank under multiple annotators. International Joint Conference on Artificial Intelligence. 1571–1576. 10 indexed citations
19.
Tao, Dacheng, Xuelong Li, Weiming Hu, Stephen J. Maybank, & Xindong Wu. (2006). Supervised Tensor Learning. 450–457. 299 indexed citations
20.
Wang, Liang, Tieniu Tan, & Weiming Hu. (2002). Face Tracking Using Motion-Guided Dynamic Template Matching. Wiener klinische Wochenschrift. 85(13). 203–4. 16 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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