Huayi Tang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 10%
- Signal Processing
- Urban Studies top 10%
- Co-authors
- Yazhou RenLifang HeJie XuXiaofeng ZhuLiang PengXiaorong PuYong LiuLili Pan
- Topics
- Video Surveillance and Tracking Methods (5 papers)Face and Expression Recognition (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringNondestructive Testing And EvaluationInsight - Non-Destructive Testing and Condition Monitoring
- Partner nations
- ChinaUnited States
In The Last Decade
Huayi Tang
9 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 370
- Artificial Intelligence 336
- Media Technology 41
- Signal Processing 32
- Urban Studies 28
Countries citing papers authored by Huayi Tang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | Self-Supervised Discriminative Feature Learning for Deep Multi-View Clusteringbreakdown → | 154 |
| 5 | Multi-level Feature Learning for Contrastive Multi-view Clusteringbreakdown → | 213 |
| 6 | 46 | |
| 7 | 88 | |
| 8 | 4 | |
| 9 | 20 |
About Huayi Tang
Huayi Tang is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Artificial Intelligence, having authored 9 papers that have together received 544 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Computational Mathematics (9 citations) and Artificial Intelligence (336 citations). Huayi Tang has collaborated with scholars based in China and United States. Frequent co-authors include Yazhou Ren, Lifang He, Jie Xu, Xiaofeng Zhu, Liang Peng, Xiaorong Pu, Yong Liu, Lili Pan, Yang Yang and Philip S. Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Nondestructive Testing And Evaluation and Insight - Non-Destructive Testing and Condition Monitoring.
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.