Hu Han

10.1k total citations · 6 hit papers
142 papers, 5.5k citations indexed

About

Hu Han is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hu Han has authored 142 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Hu Han's work include Face recognition and analysis (44 papers), Face and Expression Recognition (26 papers) and Biometric Identification and Security (23 papers). Hu Han is often cited by papers focused on Face recognition and analysis (44 papers), Face and Expression Recognition (26 papers) and Biometric Identification and Security (23 papers). Hu Han collaborates with scholars based in China, United States and United Kingdom. Hu Han's co-authors include Anil K. Jain, Shiguang Shan, Xilin Chen, Di Wen, Charles Otto, Xuesong Niu, Keyurkumar J. Patel, Brendan Klare, Guoqing Wang and Jie Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Hu Han

130 papers receiving 5.3k citations

Hit Papers

Face Spoof Detection With Image Distortion Analysis 2015 2026 2018 2022 2015 2016 2017 2019 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hu Han China 35 3.8k 1.9k 793 773 433 142 5.5k
Marios Savvides United States 39 3.7k 1.0× 1.8k 1.0× 248 0.3× 812 1.1× 227 0.5× 196 5.1k
Fabio Scotti Italy 30 1.8k 0.5× 1.1k 0.6× 358 0.5× 915 1.2× 303 0.7× 161 3.5k
Gongping Yang China 28 1.2k 0.3× 1.4k 0.8× 260 0.3× 409 0.5× 208 0.5× 136 3.0k
Kang Ryoung Park South Korea 39 2.6k 0.7× 1.7k 0.9× 374 0.5× 738 1.0× 43 0.1× 228 5.1k
Josephine Sullivan Sweden 16 4.2k 1.1× 649 0.3× 324 0.4× 1.4k 1.8× 76 0.2× 38 5.8k
Abdenour Hadid Finland 41 8.4k 2.2× 4.5k 2.4× 458 0.6× 1.1k 1.5× 53 0.1× 144 10.2k
Zhen Lei China 55 9.6k 2.5× 3.0k 1.6× 800 1.0× 1.7k 2.2× 29 0.1× 280 11.7k
Weihong Deng China 41 7.0k 1.9× 1.9k 1.0× 421 0.5× 2.3k 3.0× 50 0.1× 174 9.6k
Ruggero Donida Labati Italy 23 916 0.2× 687 0.4× 272 0.3× 393 0.5× 284 0.7× 75 1.9k
Caifeng Shan China 29 4.6k 1.2× 542 0.3× 896 1.1× 1.0k 1.3× 60 0.1× 158 5.9k

Countries citing papers authored by Hu Han

Since Specialization
Citations

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

Fields of papers citing papers by Hu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Han. A scholar is included among the top collaborators of Hu 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 Hu Han. Hu Han 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.
Hei, Chuang, et al.. (2025). Acoustic Sensing-Based Detection Methodology for Downhole Fallen Objects in Oil and Gas Wells. IEEE Sensors Journal. 25(19). 37206–37223.
2.
Yang, Dong, et al.. (2024). Deep Learning-Based Simultaneous Temperature- and Curvature-Sensitive Scatterplot Recognition. Sensors. 24(13). 4409–4409. 3 indexed citations
3.
Han, Hu, Chao Qian, Ke Xue, et al.. (2024). Reducing the uncertainty in estimating soil microbial-derived carbon storage. Proceedings of the National Academy of Sciences. 121(35). e2401916121–e2401916121. 68 indexed citations breakdown →
4.
Yao, S. J., et al.. (2024). A multifunctional metal-based nanozyme for CT/PTI-guided photothermal/starvation/chemodynamic therapy against colon tumor. Journal of Materials Chemistry B. 13(5). 1781–1793. 2 indexed citations
5.
Han, Hu, et al.. (2024). Fine-Grained Open-Set Deepfake Detection via Unsupervised Domain Adaptation. IEEE Transactions on Information Forensics and Security. 19. 7536–7547. 3 indexed citations
6.
Han, Hu, et al.. (2024). Natural Adversarial Mask for Face Identity Protection in Physical World. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 2089–2106. 1 indexed citations
7.
Han, Hu, et al.. (2023). Separation performance of graphene oxide nanofiltration membrane intercalated by MWCNTs and α -Fe2O3 nanoparticles. The Science of The Total Environment. 908. 168466–168466. 10 indexed citations
8.
Han, Hu, et al.. (2022). CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis. IEEE Transactions on Image Processing. 32. 144–158. 13 indexed citations
9.
Das, Abhijit, Xuesong Niu, Antitza Dantcheva, et al.. (2021). A Spatio-Temporal Approach for Apathy Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2561–2573. 6 indexed citations
10.
Pan, Hongyu, et al.. (2021). Deep Conditional Distribution Learning for Age Estimation. IEEE Transactions on Information Forensics and Security. 16. 4679–4690. 12 indexed citations
11.
Wang, Guoqing, Hu Han, Shiguang Shan, & Xilin Chen. (2020). Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security. 16. 56–69. 104 indexed citations
12.
Han, Hu, et al.. (2019). FCSR-GAN: Joint Face Completion and Super-Resolution via Multi-Task Learning. IEEE Transactions on Biometrics Behavior and Identity Science. 2(2). 109–121. 39 indexed citations
13.
Niu, Xuesong, Shiguang Shan, Hu Han, & Xilin Chen. (2019). RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation. IEEE Transactions on Image Processing. 29. 2409–2423. 256 indexed citations breakdown →
14.
Han, Hu, Jie Li, Anil K. Jain, Shiguang Shan, & Xilin Chen. (2019). Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(10). 2333–2348. 26 indexed citations
15.
Niu, Xuesong, Hu Han, Shiguang Shan, & Xilin Chen. (2018). SynRhythm: Learning a Deep Heart Rate Estimator from General to Specific. 3580–3585. 116 indexed citations
16.
Han, Hu, et al.. (2017). On the maximal independence polynomial of certain graph configurations. Rocky Mountain Journal of Mathematics. 47(7). 1 indexed citations
17.
Han, Hu, Anil K. Jain, Wang Fang, Shiguang Shan, & Xilin Chen. (2017). Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(11). 2597–2609. 185 indexed citations
18.
Patel, Keyurkumar J., et al.. (2015). Live face video vs. spoof face video: Use of moiré patterns to detect replay video attacks. 98–105. 75 indexed citations
19.
Han, Hu. (2008). Research of Hydraulic System Simulation Technology and Software. Machine Tool & Hydraulics. 2 indexed citations
20.
Han, Hu. (2006). Parametric simulation of an original ejection mechanism on a robot based on virtual prototype. Chinese journal of construction machinery. 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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