Hantao Yao

3.2k total citations · 2 hit papers
62 papers, 1.7k citations indexed

About

Hantao Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hantao Yao has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Hantao Yao's work include Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (16 papers) and Video Surveillance and Tracking Methods (14 papers). Hantao Yao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (16 papers) and Video Surveillance and Tracking Methods (14 papers). Hantao Yao collaborates with scholars based in China, United States and Canada. Hantao Yao's co-authors include Changsheng Xu, Shiliang Zhang, Yongdong Zhang, Qi Tian, Richang Hong, Feng Dai, Rui Zhang, Sisi You, Longhui Wei and Wen Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Agricultural and Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Hantao Yao

55 papers receiving 1.7k citations

Hit Papers

Deep Representation Learning With Part Loss for Person Re... 2019 2026 2021 2023 2019 2019 100 200 300
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. Deep Representation Learning With Part Loss for Person Re-Identification
    2019 319 citations Hantao Yao, Yongdong Zhang et al. IEEE Transactions on Image Processing profile →
  2. DR2-Net: Deep Residual Reconstruction Network for image compressive sensing
    2019 243 citations Hantao Yao, Yongdong Zhang et al. profile →

Peers

Hantao Yao
Chen Pan China
Ivana Medvedec Mikić Croatia
Meng Yang China
Mohammad Hossein Rohban Iran
Hang Yu China
Rizwan Qureshi Pakistan
Sen Li China
Md Mamunur Rahaman China
Siyu Huang China
Dong Xu China
Chen Pan China
Hantao Yao
Citations per year, relative to Hantao Yao Hantao Yao (= 1×) peers Chen Pan

Countries citing papers authored by Hantao Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hantao Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hantao Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hantao Yao. A scholar is included among the top collaborators of Hantao Yao 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 Hantao Yao. Hantao Yao 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.
2.
Yao, Hantao, et al.. (2025). Restoration of Cementoblast Mineralization by Glutamine Under Inflammatory Conditions. International Dental Journal. 75(6). 103930–103930.
3.
Yao, Hantao, et al.. (2025). Selective PPARγ modulator alpinetin restores insulin sensitivity and protects from bone loss in type 2 diabetes. Phytomedicine. 145. 157003–157003. 1 indexed citations
4.
Li, Haochen, Rui Zhang, Hantao Yao, et al.. (2025). SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection. 25465–25475.
5.
Liao, Yilin, Yue Sheng, Hantao Yao, et al.. (2025). FSH exacerbates bone loss by promoting osteoclast energy metabolism through the CREB-MDH2-NAD+ axis. Metabolism. 165. 156147–156147. 5 indexed citations
6.
Chen, Zhiyong, Hantao Yao, Zijun Wang, et al.. (2024). Eupatilin suppresses osteoclastogenesis and periodontal bone loss by inhibiting the MAPKs/Siglec-15 pathway. International Immunopharmacology. 139. 112720–112720. 4 indexed citations
7.
Yu, Lu, et al.. (2024). Class Incremental Learning for Light-Weighted Networks. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12210–12220. 3 indexed citations
8.
Li, Haochen, et al.. (2024). REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection. IEEE Transactions on Image Processing. 33. 3735–3748. 3 indexed citations
9.
Jiao, Yifan, Hantao Yao, Bing‐Kun Bao, & Changsheng Xu. (2024). Source-Guided Target Feature Reconstruction for Cross-Domain Classification and Detection. IEEE Transactions on Image Processing. 33. 2808–2822. 4 indexed citations
10.
Yao, Hantao, et al.. (2024). Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7348–7362. 1 indexed citations
11.
Yao, Hantao, et al.. (2024). Camera-Incremental Object Re-Identification With Identity Knowledge Evolution. IEEE Transactions on Multimedia. 26. 11246–11260.
12.
Ji, Yaoting, Ting Li, Haiying Guo, et al.. (2023). Anti-Porphyromonas gingivalis nanotherapy for maintaining bacterial homeostasis in periodontitis. International Journal of Antimicrobial Agents. 61(6). 106801–106801. 13 indexed citations
13.
You, Sisi, Hantao Yao, Bing‐Kun Bao, & Changsheng Xu. (2023). Multi-object Tracking with Spatial-Temporal Tracklet Association. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–21. 4 indexed citations
14.
Yao, Hantao, et al.. (2023). Dual Structural Knowledge Interaction for Domain Adaptation. IEEE Transactions on Multimedia. 25. 9057–9070. 3 indexed citations
15.
Sun, Minmin, et al.. (2022). Ginsenoside Rb3 inhibits osteoclastogenesis via ERK / NF‐κB signaling pathway in vitro and in vivo. Oral Diseases. 29(8). 3460–3471. 11 indexed citations
16.
Ji, Yaoting, Hantao Yao, Haiying Guo, et al.. (2022). Application of Ginsenoside Rd in Periodontitis With Inhibitory Effects on Pathogenicity, Inflammation, and Bone Resorption. Frontiers in Cellular and Infection Microbiology. 12. 813953–813953. 21 indexed citations
17.
Guo, Haiying, Jin Li, Hantao Yao, et al.. (2022). The dynamic communities of oral microbiome in neonates. Frontiers in Microbiology. 13. 1052525–1052525. 1 indexed citations
18.
Yao, Hantao, et al.. (2021). Margin-Based Adversarial Joint Alignment Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 2057–2067. 24 indexed citations
19.
Yao, Hantao, et al.. (2021). Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation. IEEE Transactions on Multimedia. 24. 1020–1030. 4 indexed citations
20.
Min, Shaobo, et al.. (2020). Hierarchical Granularity Transfer Learning. Neural Information Processing Systems. 33. 11650–11661. 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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