Weihao Gan

2.8k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Weihao Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Weihao Gan has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Weihao Gan's work include Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Weihao Gan is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Weihao Gan collaborates with scholars based in China, United States and Taiwan. Weihao Gan's co-authors include Wei Wu, Junjie Yan, Boyuan Jiang, Mengmeng Wang, Yu Qiao, Yiru Wang, Jie Yang, Deyi Ji, C.‐C. Jay Kuo and Xiaojiang Peng and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Sensors Journal.

In The Last Decade

Weihao Gan

24 papers receiving 1.4k citations

Hit Papers

STM: SpatioTemporal and Motion Encoding for Action Recogn... 2019 2026 2021 2023 2019 50 100 150 200 250
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. STM: SpatioTemporal and Motion Encoding for Action Recognition
    2019 291 citations Boyuan Jiang, Mengmeng Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weihao Gan China 16 1.1k 677 186 113 106 25 1.4k
Avinash Ravichandran United States 11 831 0.7× 465 0.7× 118 0.6× 107 0.9× 51 0.5× 18 1.1k
Hakan Bilen United Kingdom 17 1.4k 1.2× 985 1.5× 220 1.2× 86 0.8× 38 0.4× 51 1.9k
Huijuan Xu United States 12 1.1k 0.9× 731 1.1× 94 0.5× 35 0.3× 146 1.4× 28 1.5k
Yigang Cen China 18 734 0.6× 255 0.4× 89 0.5× 53 0.5× 70 0.7× 114 1.1k
Dongyu Zhang China 15 691 0.6× 487 0.7× 210 1.1× 65 0.6× 30 0.3× 47 1.4k
Nicolas Thome France 17 860 0.8× 574 0.8× 79 0.4× 67 0.6× 45 0.4× 43 1.3k
Zhilan Hu China 9 1.3k 1.1× 573 0.8× 206 1.1× 55 0.5× 35 0.3× 14 1.4k
Mikel Rodríguez United States 11 1.4k 1.2× 837 1.2× 256 1.4× 58 0.5× 76 0.7× 23 1.6k
Jérôme Berclaz Switzerland 11 1.6k 1.4× 524 0.8× 131 0.7× 84 0.7× 65 0.6× 15 1.8k

Countries citing papers authored by Weihao Gan

Since Specialization
Citations

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

Fields of papers citing papers by Weihao Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihao Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Weihao Gan. A scholar is included among the top collaborators of Weihao Gan 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 Weihao Gan. Weihao Gan 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.
Pu, Yifan, Yiru Wang, Zhuofan Xia, et al.. (2023). Adaptive Rotated Convolution for Rotated Object Detection. 6566–6577. 90 indexed citations
2.
Xu, Liang, Dongliang Wang, Jing Su, et al.. (2023). ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation. 2228–2238. 25 indexed citations
3.
Bai, Lei, et al.. (2023). Similarity- and Quality-Guided Relation Learning for Joint Detection and Tracking. IEEE Transactions on Multimedia. 26. 1267–1280. 3 indexed citations
4.
Guo, Xi, Wei Wu, Dongliang Wang, et al.. (2022). Learning Video Representations of Human Motion from Synthetic Data. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20165–20175. 5 indexed citations
5.
Qiao, Lei, Jinyang Guo, Peixia Li, et al.. (2022). Unsupervised Learning of Accurate Siamese Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8091–8100. 45 indexed citations
6.
Wang, Yali, Jiaxi Wu, Yiru Wang, et al.. (2022). Cross Domain Object Detection by Target-Perceived Dual Branch Distillation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9560–9570. 59 indexed citations
7.
Fei, Hui, et al.. (2022). A Novel Information Theory-Based Metric for Evaluating Roadside LiDAR Placement. IEEE Sensors Journal. 22(21). 21009–21023. 10 indexed citations
8.
Wang, Haoran, Licheng Jiao, Fang Liu, et al.. (2021). IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection. IEEE Transactions on Image Processing. 30. 6583–6593. 30 indexed citations
9.
Ji, Deyi, Haoran Wang, Hanzhe Hu, et al.. (2021). Context-Aware Graph Convolution Network for Target Re-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1646–1654. 24 indexed citations
10.
Wang, Haoran, Licheng Jiao, Fang Liu, et al.. (2021). Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 2951–2964. 11 indexed citations
11.
Su, Haisheng, Weihao Gan, Wei Wu, Yu Qiao, & Junjie Yan. (2021). BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2602–2610. 66 indexed citations
12.
Jiang, Boyuan, Mengmeng Wang, Weihao Gan, Wei Wu, & Junjie Yan. (2019). STM: SpatioTemporal and Motion Encoding for Action Recognition. 2000–2009. 291 indexed citations breakdown →
13.
Peng, Xiaojiang, et al.. (2019). AnoPCN. 1805–1813. 131 indexed citations
14.
Wang, Yiru, Weihao Gan, Jie Yang, Wei Wu, & Junjie Yan. (2019). Dynamic Curriculum Learning for Imbalanced Data Classification. 5016–5025. 163 indexed citations
15.
Gan, Weihao, Ming‐Sui Lee, Chi-Hao Wu, & C.‐C. Jay Kuo. (2018). Online object tracking via motion-guided convolutional neural network (MGNet). Journal of Visual Communication and Image Representation. 53. 180–191. 9 indexed citations
16.
Gan, Weihao, et al.. (2018). Online CNN-based multiple object tracking with enhanced model updates and identity association. Signal Processing Image Communication. 66. 95–102. 22 indexed citations
17.
Ji, Deyi, et al.. (2018). Challenges on Large Scale Surveillance Video Analysis. 69–697. 28 indexed citations
18.
Gan, Weihao, Ming‐Sui Lee, Chi-Hao Wu, & C.‐C. Jay Kuo. (2016). Object tracking with temporal prediction and spatial refinement (TPSR). Signal Processing Image Communication. 47. 303–312. 4 indexed citations
19.
20.
Gan, Weihao. (1991). Application of neural networks to the processing of medical images. 52. 300–306 vol.1. 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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