Yuan He

2.8k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Yuan He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yuan He has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Yuan He's work include Advanced Image and Video Retrieval Techniques (15 papers), Adversarial Robustness in Machine Learning (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Yuan He is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Adversarial Robustness in Machine Learning (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Yuan He collaborates with scholars based in China, United States and Australia. Yuan He's co-authors include Hui Xue, Yuefeng Chen, Xiaodan Li, Nenghai Yu, Weiming Zhang, Wenbo Zhou, Honggu Liu, Xiaofeng Mao, Ranjie Duan and Da Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Yuan He

52 papers receiving 1.4k citations

Hit Papers

Spatial-Phase Shallow Learning: Rethinking Face Forgery D... 2021 2026 2022 2024 2021 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. Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
    2021 338 citations Xiaodan Li, Yuefeng Chen et al. profile →

Peers

Yuan He
Ser-Nam Lim United States
Xiaoke Zhu China
Lucas Beyer Germany
Changqing Zou China
Yongjian Wu China
Wenrui Dai China
Jian-Hao Luo China
Yuandong Tian United States
Shiming Ge China
Ser-Nam Lim United States
Yuan He
Citations per year, relative to Yuan He Yuan He (= 1×) peers Ser-Nam Lim

Countries citing papers authored by Yuan He

Since Specialization
Citations

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

Fields of papers citing papers by Yuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan He. A scholar is included among the top collaborators of Yuan 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 Yuan He. Yuan 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
1.
Xu, Qianqian, et al.. (2025). AUCPro: AUC-Oriented Provable Robustness Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4579–4596.
2.
Xu, Qianqian, et al.. (2024). Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5062–5079. 6 indexed citations
3.
Xu, Qianqian, et al.. (2024). Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9004–9022. 3 indexed citations
4.
Yang, Zhiyong, et al.. (2023). Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15494–15511. 2 indexed citations
5.
Yang, Zhiyong, et al.. (2023). AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14161–14174. 11 indexed citations
6.
Gao, Peifeng, et al.. (2023). Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7633–7641.
7.
Li, Xiaodan, Yuan He, Qianqian Xu, et al.. (2022). MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 5970–5987. 15 indexed citations
8.
Yang, Zhiyong, et al.. (2022). Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10228–10246. 14 indexed citations
9.
Chen, Yuefeng, Kejiang Chen, Xiaoyi Dong, et al.. (2022). Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks. IEEE Transactions on Artificial Intelligence. 4(5). 1029–1040. 6 indexed citations
10.
Xu, Qianqian, et al.. (2022). Optimizing Partial Area Under the Top-K Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–27. 6 indexed citations
11.
Zhu, Yao, Xiaodan Li, Kejiang Chen, et al.. (2022). Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective. IEEE Transactions on Image Processing. 31. 6487–6501. 37 indexed citations
12.
Li, Xiaodan, Yuefeng Chen, Yuan He, et al.. (2021). QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3329–3338. 30 indexed citations
13.
Wang, Shuhui, et al.. (2021). Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos. IEEE Signal Processing Letters. 28. 832–836. 16 indexed citations
14.
He, Yuan, et al.. (2021). MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 10114–10128. 19 indexed citations
15.
Dong, Jianfeng, Zhe Ma, Xiaofeng Mao, et al.. (2021). Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. IEEE Transactions on Image Processing. 30. 8410–8425. 29 indexed citations
16.
Deng, Chaorui, Shizhe Chen, Da Chen, Yuan He, & Qi Wu. (2021). Sketch, Ground, and Refine: Top-Down Dense Video Captioning. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 234–243. 41 indexed citations
17.
Dong, Jianfeng, et al.. (2021). Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval. Neurocomputing. 440. 207–219. 16 indexed citations
18.
19.
Wu, Xiang, Da Chen, Yuan He, et al.. (2019). Hybrid Sequence Encoder for Text Based Video Retrieval.. TRECVID. 3 indexed citations
20.
Wu, Chunpeng, Wei Fan, Yuan He, Jun Sun, & Satoshi Naoi. (2014). Handwritten Character Recognition by Alternately Trained Relaxation Convolutional Neural Network. 291–296. 81 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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