Shuai Yi

7.8k total citations · 2 hit papers
47 papers, 2.9k citations indexed

About

Shuai Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Shuai Yi has authored 47 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 5 papers in Ocean Engineering. Recurrent topics in Shuai Yi's work include Video Surveillance and Tracking Methods (16 papers), Advanced Neural Network Applications (12 papers) and Human Pose and Action Recognition (11 papers). Shuai Yi is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Advanced Neural Network Applications (12 papers) and Human Pose and Action Recognition (11 papers). Shuai Yi collaborates with scholars based in China, Hong Kong and Singapore. Shuai Yi's co-authors include Xiaogang Wang, Hongsheng Li, Haiyu Zhao, Junjie Yan, Maoqing Tian, Jing Shao, Shuyang Sun, Tong Xiao, Xiaoou Tang and Yantao Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Shuai Yi

44 papers receiving 2.8k citations

Hit Papers

Spindle Net: Person Re-identification with Human Body Reg... 2017 2026 2020 2023 2017 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuai Yi China 21 2.4k 592 504 294 253 47 2.9k
Wu Liu China 32 2.9k 1.2× 750 1.3× 811 1.6× 279 0.9× 158 0.6× 139 3.5k
Zhedong Zheng China 24 4.0k 1.7× 788 1.3× 1.1k 2.2× 193 0.7× 74 0.3× 56 4.5k
Ángel D. Sappa Spain 26 1.9k 0.8× 182 0.3× 133 0.3× 512 1.7× 139 0.5× 154 2.7k
Sanping Zhou China 28 2.5k 1.0× 600 1.0× 622 1.2× 223 0.8× 44 0.2× 81 3.0k
Chengjiang Long China 24 1.3k 0.5× 602 1.0× 163 0.3× 201 0.7× 67 0.3× 61 1.9k
Huijing Zhao China 28 1.5k 0.6× 503 0.8× 116 0.2× 78 0.3× 127 0.5× 128 2.6k
Joanna Materzyńska Mexico 6 2.0k 0.8× 1.1k 1.8× 215 0.4× 88 0.3× 54 0.2× 6 2.3k
Esther Koller-Meier Switzerland 15 2.1k 0.9× 555 0.9× 159 0.3× 198 0.7× 47 0.2× 28 2.4k
Yifan Sun China 17 1.6k 0.6× 521 0.9× 408 0.8× 108 0.4× 39 0.2× 44 2.0k
Ming Tang China 25 1.7k 0.7× 558 0.9× 129 0.3× 216 0.7× 42 0.2× 110 2.3k

Countries citing papers authored by Shuai Yi

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Yi. A scholar is included among the top collaborators of Shuai Yi 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 Shuai Yi. Shuai Yi 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.
Yi, Shuai, et al.. (2025). Multi-positive contrastive learning-based cross-attention model for T cell receptor–antigen binding prediction. Computer Methods and Programs in Biomedicine. 268. 108797–108797.
3.
Li, Shuai Cheng, Jie Zhang, Jun Hou, et al.. (2024). Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 10989–10997. 9 indexed citations
4.
Liu, Jianbo, Xiaolin Zhang, Maoqing Tian, et al.. (2024). Pyramid Fusion Transformer for Semantic Segmentation. IEEE Transactions on Multimedia. 26. 9630–9643. 5 indexed citations
5.
Pan, Liang, Xinyi Chen, Zhongang Cai, et al.. (2023). Variational Relational Point Completion Network for Robust 3D Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 11340–11351. 13 indexed citations
6.
Mustafa, Rashed, et al.. (2022). Knowledge graph and deep learning based pest detection and identification system for fruit quality. Internet of Things. 21. 100649–100649. 25 indexed citations
7.
Luo, Zhipeng, Xiaobing Zhang, Shijian Lu, & Shuai Yi. (2022). Domain consistency regularization for unsupervised multi-source domain adaptive classification. Pattern Recognition. 132. 108955–108955. 19 indexed citations
8.
Shen, Zhuoran, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, & Hongsheng Li. (2021). Efficient Attention: Attention with Linear Complexities. 3530–3538. 142 indexed citations
9.
Yu, Cunjun, et al.. (2021). REFINE: Prediction Fusion Network for Panoptic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2477–2485. 8 indexed citations
10.
Ren, Jiawei, Cunjun Yu, Xiao Ma, et al.. (2020). Balanced Meta-Softmax for Long-Tailed Visual Recognition. Neural Information Processing Systems. 33. 4175–4186. 5 indexed citations
11.
Zhou, Dongzhan, Xinchi Zhou, Wenwei Zhang, et al.. (2020). EcoNAS: Finding Proxies for Economical Neural Architecture Search. 11393–11401. 69 indexed citations
13.
Huang, Zixuan, et al.. (2019). HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion. IEEE Transactions on Image Processing. 29. 3429–3441. 101 indexed citations
14.
Shen, Zhuoran, Mingyuan Zhang, Shuai Yi, Junjie Yan, & Haiyu Zhao. (2018). Factorized Attention: Self-Attention with Linear Complexities.. arXiv (Cornell University). 5 indexed citations
15.
Sun, Shuyang, Jiangmiao Pang, Jianping Shi, Shuai Yi, & Wanli Ouyang. (2018). FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction. Neural Information Processing Systems. 31. 754–764. 23 indexed citations
16.
Zhao, Haiyu, Maoqing Tian, Shuyang Sun, et al.. (2017). Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. 907–915. 615 indexed citations breakdown →
17.
Wang, Zhongdao, Luming Tang, Xihui Liu, et al.. (2017). Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. 379–387. 263 indexed citations
18.
Guan, Jingwei, Shuai Yi, Xingyu Zeng, Wai-Kuen Cham, & Xiaogang Wang. (2017). Visual Importance and Distortion Guided Deep Image Quality Assessment Framework. IEEE Transactions on Multimedia. 19(11). 2505–2520. 52 indexed citations
19.
Yi, Shuai, Hongsheng Li, & Xiaogang Wang. (2015). Pedestrian Travel Time Estimation in Crowded Scenes. 25. 3137–3145. 11 indexed citations
20.
Yi, Shuai & Xiaogang Wang. (2014). Profiling stationary crowd groups. 1–6. 15 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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