Yi Yang

81.7k total citations · 39 hit papers
702 papers, 42.4k citations indexed

About

Yi Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yi Yang has authored 702 papers receiving a total of 42.4k indexed citations (citations by other indexed papers that have themselves been cited), including 492 papers in Computer Vision and Pattern Recognition, 247 papers in Artificial Intelligence and 51 papers in Biomedical Engineering. Recurrent topics in Yi Yang's work include Human Pose and Action Recognition (153 papers), Advanced Image and Video Retrieval Techniques (151 papers) and Multimodal Machine Learning Applications (144 papers). Yi Yang is often cited by papers focused on Human Pose and Action Recognition (153 papers), Advanced Image and Video Retrieval Techniques (151 papers) and Multimodal Machine Learning Applications (144 papers). Yi Yang collaborates with scholars based in China, Australia and United States. Yi Yang's co-authors include Liang Zheng, Zhedong Zheng, Linchao Zhu, Feiping Nie, Xiaojun Chang, Guoliang Kang, Alexander G. Hauptmann, Xuanyi Dong, Deva Ramanan and Zhigang Ma and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yi Yang

669 papers receiving 41.5k citations

Hit Papers

Random Erasing Data Augmentation 2011 2026 2016 2021 2020 2016 2013 2018 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Yang China 107 31.6k 13.9k 4.9k 3.2k 2.5k 702 42.4k
Antonio Torralba United States 86 35.7k 1.1× 13.5k 1.0× 2.9k 0.6× 4.2k 1.3× 4.3k 1.7× 250 51.5k
Dragomir Anguelov United States 30 21.5k 0.7× 10.5k 0.8× 2.3k 0.5× 3.2k 1.0× 2.9k 1.2× 57 37.3k
Ling Shao China 97 31.5k 1.0× 10.4k 0.7× 4.1k 0.8× 6.1k 1.9× 2.4k 0.9× 680 41.4k
Yangqing Jia United States 24 27.0k 0.9× 14.2k 1.0× 2.7k 0.5× 4.4k 1.4× 2.4k 1.0× 39 44.1k
Li-Jia Li United States 31 29.6k 0.9× 18.5k 1.3× 2.0k 0.4× 3.5k 1.1× 2.2k 0.9× 59 45.4k
Aditya Khosla United States 25 23.8k 0.8× 14.5k 1.0× 1.9k 0.4× 2.5k 0.8× 2.2k 0.9× 34 40.0k
Alexander C. Berg United States 35 23.2k 0.7× 12.3k 0.9× 1.8k 0.4× 2.9k 0.9× 2.3k 0.9× 56 35.6k
Xuelong Li China 109 32.8k 1.0× 11.7k 0.8× 3.1k 0.6× 9.4k 3.0× 1.8k 0.7× 773 46.5k
Dumitru Erhan United States 18 23.5k 0.7× 14.2k 1.0× 2.4k 0.5× 3.4k 1.1× 1.8k 0.7× 22 40.3k

Countries citing papers authored by Yi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Yang. A scholar is included among the top collaborators of Yi Yang 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 Yi Yang. Yi Yang 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, Haitao, et al.. (2025). Active Precision Adjustment Mechanism for Large Space Reflectors. Chinese Journal of Mechanical Engineering. 38(1).
2.
Wu, Jingzhu, Yi Yang, Xia Tong, et al.. (2024). Research on terahertz image analysis of thin-shell seeds based on semantic segmentation. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 323. 124897–124897.
3.
Li, Jiamin, et al.. (2024). Effect of heat treatment on the microstructure and corrosion properties of plasma wire arc additive manufactured Mg-Gd-Y-Zr alloy. Materials Today Communications. 41. 111020–111020. 3 indexed citations
4.
Yang, Yi, Enze Zhou, X. Peng, et al.. (2024). The role of phenazines in marine Pseudomonas aeruginosa microbiologically influenced corrosion against 316L stainless steel. Corrosion Science. 242. 112587–112587. 9 indexed citations
5.
Wu, Jingzhu, Qian Zhang, Le Yu, et al.. (2024). Maturity detection of single maize seeds based on hyperspectral imaging and transfer learning. Infrared Physics & Technology. 138. 105242–105242. 9 indexed citations
6.
Ma, Fan, et al.. (2024). FedPAM: Federated Personalized Augmentation Model for Text-to-Image Retrieval. 1185–1189. 2 indexed citations
7.
Wang, Tingyu, Zhedong Zheng, Yaoqi Sun, et al.. (2024). Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognition. 152. 110363–110363. 19 indexed citations
8.
Luo, Yawei, et al.. (2024). Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6477–6489. 3 indexed citations
9.
Han, Mingfei, et al.. (2024). Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. IEEE Transactions on Image Processing. 33. 1560–1573. 3 indexed citations
10.
Yang, Yi, et al.. (2023). Video Object Segmentation in Panoptic Wild Scenes. 1604–1612. 12 indexed citations
11.
Zhou, Tianfei, Yi Yang, & Wenguan Wang. (2023). Differentiable Multi-Granularity Human Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–14. 30 indexed citations
12.
Luo, Yawei, et al.. (2023). Dark Knowledge Balance Learning for Unbiased Scene Graph Generation. 4838–4847. 4 indexed citations
13.
Yang, Yi, et al.. (2022). Benchmarking Intersectional Biases in NLP. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3598–3609. 30 indexed citations
14.
Zheng, Zhedong, Xiaohan Wang, Nenggan Zheng, & Yi Yang. (2022). Parameter-Efficient Person Re-Identification in the 3D Space. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7534–7547. 45 indexed citations
15.
Wu, Aming, Yahong Han, Zhou Zhao, & Yi Yang. (2020). Hierarchical Memory Decoder for Visual Narrating. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2438–2449. 11 indexed citations
16.
Kang, Guoliang, Yunchao Wei, Yi Yang, Yueting Zhuang, & Alexander G. Hauptmann. (2020). Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. arXiv (Cornell University). 33. 3569–3580. 4 indexed citations
17.
Lin, Yutian, Yu Wu, Chenggang Yan, Mingliang Xu, & Yi Yang. (2020). Unsupervised Person Re-identification via Cross-Camera Similarity Exploration. IEEE Transactions on Image Processing. 29. 5481–5490. 77 indexed citations
18.
Zheng, Zhedong, Tao Ruan, Yunchao Wei, & Yi Yang. (2019). VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification. Computer Vision and Pattern Recognition. 1–4. 16 indexed citations
19.
Deng, Weijian, Liang Zheng, Qixiang Ye, et al.. (2018). Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. 994–1003. 713 indexed citations breakdown →
20.
Dong, Xuanyi, Liang Zheng, Fan Ma, Yi Yang, & Deyu Meng. (2017). Few-shot Object Detection. arXiv (Cornell University). 4 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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