Huayi Tang

836 total citations · 2 hit papers
9 papers, 544 citations indexed

About

Huayi Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Huayi Tang has authored 9 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Mechanics of Materials. Recurrent topics in Huayi Tang's work include Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Huayi Tang is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Huayi Tang collaborates with scholars based in China and United States. Huayi Tang's co-authors include Jie Xu, Lifang He, Yazhou Ren, Xiaofeng Zhu, Liang Peng, Xiaorong Pu, Yong Liu, Yang Yang, Lili Pan and Philip S. Yu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Nondestructive Testing And Evaluation and Insight - Non-Destructive Testing and Condition Monitoring.

In The Last Decade

Huayi Tang

9 papers receiving 535 citations

Hit Papers

Multi-level Feature Learning for Contrastive Multi-view C... 2022 2026 2023 2024 2022 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huayi Tang China 6 370 336 41 32 28 9 544
Ben Yang China 10 320 0.9× 185 0.6× 59 1.4× 26 0.8× 67 2.4× 33 415
Jinyu Cai China 7 160 0.4× 204 0.6× 18 0.4× 26 0.8× 13 0.5× 21 315
Yuanlong Shao China 5 178 0.5× 179 0.5× 59 1.4× 17 0.5× 11 0.4× 7 354
Bassoma Diallo China 8 196 0.5× 168 0.5× 35 0.9× 28 0.9× 30 1.1× 12 300
Chao Lan United States 11 148 0.4× 151 0.4× 44 1.1× 72 2.3× 10 0.4× 43 325
Limei Zhang China 7 226 0.6× 118 0.4× 75 1.8× 23 0.7× 28 1.0× 17 366
Yuanyuan Jiao China 8 232 0.6× 144 0.4× 73 1.8× 24 0.8× 20 0.7× 22 343
Vivek Sharma Germany 7 332 0.9× 220 0.7× 43 1.0× 15 0.5× 7 0.3× 14 436

Countries citing papers authored by Huayi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huayi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huayi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huayi Tang. A scholar is included among the top collaborators of Huayi Tang 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 Huayi Tang. Huayi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhu, Jiawen, Huayi Tang, Xin Chen, et al.. (2025). Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10959–10967. 2 indexed citations
2.
3.
Zhu, Jiawen, et al.. (2024). DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs. 7381–7388. 16 indexed citations
4.
Xu, Jie, Yazhou Ren, Huayi Tang, et al.. (2022). Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 35(7). 7470–7482. 154 indexed citations breakdown →
5.
Xu, Jie, Huayi Tang, Yazhou Ren, et al.. (2022). Multi-level Feature Learning for Contrastive Multi-view Clustering. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16030–16039. 213 indexed citations breakdown →
6.
Tang, Huayi & Yong Liu. (2022). Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 202–211. 46 indexed citations
7.
Xu, Jie, Yazhou Ren, Huayi Tang, et al.. (2021). Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9214–9223. 88 indexed citations
8.
Hou, Dibo, et al.. (2015). Study of lift-off invariance transformation method for quantitative defect estimation in eddy current testing. Insight - Non-Destructive Testing and Condition Monitoring. 57(2). 92–97. 4 indexed citations
9.
Liu, Baoling, et al.. (2013). An improved PSO-SVM model for online recognition defects in eddy current testing. Nondestructive Testing And Evaluation. 28(4). 367–385. 20 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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