Hehe Fan

2.3k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Hehe Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hehe Fan has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Hehe Fan's work include Human Pose and Action Recognition (22 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hehe Fan is often cited by papers focused on Human Pose and Action Recognition (22 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hehe Fan collaborates with scholars based in China, Australia and Singapore. Hehe Fan's co-authors include Yi Yang, Chenggang Yan, Liang Zheng, Mohan Kankanhalli, Mingliang Xu, Linchao Zhu, Yuhang Ding, Yawei Luo, Xin Yu and Xiaojun Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Hehe Fan

43 papers receiving 1.4k citations

Hit Papers

Unsupervised Person Re-identification 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hehe Fan China 17 1.2k 353 339 155 67 47 1.4k
Shuyang Sun United Kingdom 8 1.1k 0.9× 354 1.0× 216 0.6× 59 0.4× 26 0.4× 14 1.1k
Rohit Girdhar United States 13 794 0.7× 70 0.2× 388 1.1× 149 1.0× 120 1.8× 19 1.2k
Shohei Nobuhara Japan 15 964 0.8× 116 0.3× 200 0.6× 181 1.2× 67 1.0× 64 1.3k
Liangchen Song United States 12 920 0.8× 182 0.5× 261 0.8× 113 0.7× 17 0.3× 22 1.2k
Songzhi Su China 14 548 0.5× 96 0.3× 265 0.8× 57 0.4× 80 1.2× 73 873
Wenxiong Kang China 25 1.1k 1.0× 130 0.4× 242 0.7× 47 0.3× 59 0.9× 116 1.8k
Hedi Tabia France 13 649 0.6× 113 0.3× 164 0.5× 135 0.9× 34 0.5× 42 788
Shilei Wen China 22 1.7k 1.5× 132 0.4× 830 2.4× 42 0.3× 24 0.4× 31 1.9k
Yuji Iwahori Japan 15 574 0.5× 85 0.2× 178 0.5× 68 0.4× 35 0.5× 167 973
Lu Sheng China 18 1.5k 1.2× 102 0.3× 432 1.3× 324 2.1× 217 3.2× 45 1.8k

Countries citing papers authored by Hehe Fan

Since Specialization
Citations

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

Fields of papers citing papers by Hehe Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hehe Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Hehe Fan. A scholar is included among the top collaborators of Hehe Fan 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 Hehe Fan. Hehe Fan 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.
Wang, Chao, Hehe Fan, Ruijie Quan, Lina Yao, & Yi Yang. (2025). ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models. 1076–1086. 1 indexed citations
2.
Li, Mingwei, Pei Pang, Hehe Fan, Hua Huang, & Yi Yang. (2025). TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors. 7220–7229.
3.
Nan, Guoshun, et al.. (2024). DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17933–17941. 1 indexed citations
4.
Fan, Hehe, et al.. (2024). Protein Captioning: Bridging the Gap between Protein Sequences and Natural Languages. ACM Transactions on Multimedia Computing Communications and Applications. 21(11). 1–23. 1 indexed citations
5.
Wang, Chao, Yunzhi Zhuge, Hehe Fan, et al.. (2024). SAMControl: Controlling Pose and Object for Image Editing with Soft Attention Mask. ACM Transactions on Multimedia Computing Communications and Applications. 21(11). 1–28.
7.
Sun, Haoliang, Qi Wei, Lei Feng, et al.. (2024). Variational Rectification Inference for Learning with Noisy Labels. International Journal of Computer Vision. 133(2). 652–671. 3 indexed citations
8.
Feng, Xiaoyu, Heming Du, Hehe Fan, Yueqi Duan, & Yongpan Liu. (2023). SEFormer: Structure Embedding Transformer for 3D Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 632–640. 12 indexed citations
9.
Fan, Hehe, et al.. (2023). Text to Point Cloud Localization with Relation-Enhanced Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2501–2509. 6 indexed citations
10.
Fan, Hehe, Yi Yang, & Mohan Kankanhalli. (2022). Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2181–2192. 55 indexed citations
11.
Fan, Hehe, Yi Yang, & Mohan Kankanhalli. (2021). Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos. 14199–14208. 127 indexed citations
12.
Zhu, Linchao, Hehe Fan, Yawei Luo, Mingliang Xu, & Yi Yang. (2021). Temporal Cross-Layer Correlation Mining for Action Recognition. IEEE Transactions on Multimedia. 24. 668–676. 73 indexed citations
13.
Fan, Hehe, Tao Zhuo, Xin Yu, Yi Yang, & Mohan Kankanhalli. (2021). Understanding Atomic Hand-Object Interaction With Human Intention. IEEE Transactions on Circuits and Systems for Video Technology. 32(1). 275–285. 22 indexed citations
14.
Fan, Hehe, Ping Liu, Mingliang Xu, & Yi Yang. (2021). Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection. IEEE Transactions on Cybernetics. 52(9). 8851–8861. 19 indexed citations
15.
Zhu, Linchao, Hehe Fan, Yawei Luo, Mingliang Xu, & Yi Yang. (2021). Few-Shot Common-Object Reasoning Using Common-Centric Localization Network. IEEE Transactions on Image Processing. 30. 4253–4262. 17 indexed citations
16.
Wu, Yu, et al.. (2020). Cascaded Revision Network for Novel Object Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3413–3421. 32 indexed citations
17.
Fan, Hehe, Linchao Zhu, Yi Yang, & Fei Wu. (2020). Recurrent Attention Network with Reinforced Generator for Visual Dialog. ACM Transactions on Multimedia Computing Communications and Applications. 16(3). 1–16. 44 indexed citations
18.
Kang, Guoliang, et al.. (2019). Attract or Distract: Exploit the Margin of Open Set. 7989–7998. 39 indexed citations
19.
Fan, Hehe, Liang Zheng, Chenggang Yan, & Yi Yang. (2018). Unsupervised Person Re-identification. ACM Transactions on Multimedia Computing Communications and Applications. 14(4). 1–18. 476 indexed citations breakdown →
20.
Liang, Junwei, Jia Chen, Po-Yao Huang, et al.. (2016). Informedia @ TRECVID 2016.. TRECVID. 2 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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