Ran He

15.2k total citations · 3 hit papers
237 papers, 8.1k citations indexed

About

Ran He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ran He has authored 237 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 39 papers in Signal Processing. Recurrent topics in Ran He's work include Face recognition and analysis (75 papers), Face and Expression Recognition (59 papers) and Generative Adversarial Networks and Image Synthesis (51 papers). Ran He is often cited by papers focused on Face recognition and analysis (75 papers), Face and Expression Recognition (59 papers) and Generative Adversarial Networks and Image Synthesis (51 papers). Ran He collaborates with scholars based in China, United States and United Kingdom. Ran He's co-authors include Tieniu Tan, Zhenan Sun, Xiang Wu, Wei‐Shi Zheng, Bao-Gang Hu, Huaibo Huang, Jian Liang, Liang Wang, Jie Cao and Kaiqi Huang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal of Psychiatry.

In The Last Decade

Ran He

223 papers receiving 7.9k citations

Hit Papers

A Light CNN for Deep Face... 2010 2026 2015 2020 2018 2010 2024 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ran He 6.3k 2.0k 1.6k 798 740 237 8.1k
Ce Zhu 5.2k 0.8× 1.3k 0.6× 2.2k 1.4× 785 1.0× 947 1.3× 328 7.2k
Alberto Del Bimbo 8.4k 1.3× 1.8k 0.9× 1.3k 0.8× 506 0.6× 912 1.2× 532 9.9k
Zhenan Sun 7.7k 1.2× 1.7k 0.9× 4.0k 2.5× 714 0.9× 894 1.2× 260 10.6k
Weihong Deng 7.0k 1.1× 2.3k 1.2× 1.9k 1.2× 354 0.4× 454 0.6× 174 9.6k
Songcan Chen 6.3k 1.0× 3.8k 1.9× 1.1k 0.7× 823 1.0× 1.6k 2.2× 271 9.5k
Cha Zhang 4.1k 0.6× 1.4k 0.7× 1.5k 0.9× 635 0.8× 382 0.5× 124 6.6k
Pong C. Yuen 6.6k 1.0× 1.7k 0.9× 2.0k 1.2× 283 0.4× 800 1.1× 227 8.7k
Xiaoming Liu 9.5k 1.5× 1.2k 0.6× 2.3k 1.4× 665 0.8× 2.2k 3.0× 129 11.4k
Jun Yu 6.8k 1.1× 3.4k 1.7× 551 0.3× 509 0.6× 948 1.3× 276 9.5k
Tamara L. Berg 9.1k 1.4× 3.2k 1.6× 1.2k 0.8× 470 0.6× 277 0.4× 59 10.0k

Countries citing papers authored by Ran He

Since Specialization
Citations

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

Fields of papers citing papers by Ran He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran He

This figure shows the co-authorship network connecting the top 25 collaborators of Ran He. A scholar is included among the top collaborators of Ran He 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 Ran He. Ran He 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
2.
Zheng, Aihua, et al.. (2024). Attribute-Guided Cross-Modal Interaction and Enhancement for Audio-Visual Matching. IEEE Transactions on Information Forensics and Security. 19. 4986–4998. 1 indexed citations
3.
Liang, Jian, et al.. (2023). MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1376–1387. 8 indexed citations
4.
Yang, Ziming, Jian Liang, Yuting Xu, Xiaoyu Zhang, & Ran He. (2023). Masked Relation Learning for DeepFake Detection. IEEE Transactions on Information Forensics and Security. 18. 1696–1708. 75 indexed citations
5.
Huang, Huaibo, Mandi Luo, & Ran He. (2022). Memory Uncertainty Learning for Real-World Single Image Deraining. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3446–3460. 16 indexed citations
6.
Wang, Yunlong, et al.. (2022). Contextual Measures for Iris Recognition. IEEE Transactions on Information Forensics and Security. 18. 57–70. 6 indexed citations
7.
Song, Linsen, Wayne Wu, Chaoyou Fu, Chen Change Loy, & Ran He. (2022). Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 1247–1261. 8 indexed citations
8.
Luo, Mandi, et al.. (2022). Memory-Modulated Transformer Network for Heterogeneous Face Recognition. IEEE Transactions on Information Forensics and Security. 17. 2095–2109. 32 indexed citations
9.
Huang, Huaibo, et al.. (2022). Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors. IEEE Transactions on Information Forensics and Security. 17. 865–879. 20 indexed citations
10.
Xu, Tingyang, et al.. (2022). Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognition. 126. 108581–108581. 25 indexed citations
11.
Liu, Si, Wentao Jiang, Chen Gao, et al.. (2021). PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 8538–8551. 27 indexed citations
12.
Xu, Yuting, et al.. (2021). Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection. IEEE Transactions on Biometrics Behavior and Identity Science. 3(3). 308–319. 42 indexed citations
13.
Fu, Chaoyou, Yibo Hu, Xiang Wu, et al.. (2021). High-Fidelity Face Manipulation With Extreme Poses and Expressions. IEEE Transactions on Information Forensics and Security. 16. 2218–2231. 43 indexed citations
14.
Li, Chenglong, et al.. (2021). Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(5). 1211–1221. 30 indexed citations
15.
Zhu, Hao, Mandi Luo, Rui Wang, Aihua Zheng, & Ran He. (2021). Deep Audio-visual Learning: A Survey. International Journal of Automation and Computing. 18(3). 351–376. 97 indexed citations
16.
Cao, Jie, Yibo Hu, Bing Yu, Ran He, & Zhenan Sun. (2019). 3D Aided Duet GANs for Multi-View Face Image Synthesis. IEEE Transactions on Information Forensics and Security. 14(8). 2028–2042. 44 indexed citations
17.
Liang, Jian, Ran He, Zhenan Sun, & Tieniu Tan. (2019). Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognition. 96. 106996–106996. 100 indexed citations
18.
Liang, Jian, Ran He, Zhenan Sun, & Tieniu Tan. (2018). Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(5). 1027–1042. 103 indexed citations
19.
He, Ran, Tieniu Tan, Larry S. Davis, & Zhenan Sun. (2017). Learning structured ordinal measures for video based face recognition. Pattern Recognition. 75. 4–14. 21 indexed citations
20.
Li, Yi, Yanqing Guo, Yueying Kao, & Ran He. (2016). Image Piece Learning for Weakly Supervised Semantic Segmentation. IEEE Transactions on Systems Man and Cybernetics Systems. 47(4). 648–659. 21 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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