Sheng Tang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Sociology and Political Science top 10%
- Media Technology top 2%
- Electrical and Electronic Engineering
- Co-authors
- Yongdong ZhangJuan CaoJintao LiTian XiaRui ZhangTianyi WuLing‐Hui LiLixi Deng
- Topics
- Advanced Image and Video Retrieval Techniques (48 papers)Video Analysis and Summarization (34 papers)Image Retrieval and Classification Techniques (22 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sheng Tang
111 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 791
- Sociology and Political Science 195
- Media Technology 156
- Electrical and Electronic Engineering 146
Countries citing papers authored by Sheng Tang
This map shows the geographic impact of Sheng 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 Sheng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Tang more than expected).
Fields of papers citing papers by Sheng Tang
This network shows the impact of papers produced by Sheng 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 Sheng Tang. The network helps show where Sheng Tang may publish in the future.
Co-authorship network of co-authors of Sheng Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Tang. A scholar is included among the top collaborators of Sheng 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 Sheng Tang. Sheng 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 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 26 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | Rapid video copy detection on compressed domain | 7 |
| 15 | 4 | |
| 16 | TRECVID 2007 Search Tasks by NUS-ICT | 6 |
| 17 | TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS * | 30 |
| 18 | 4 | |
| 19 | TRECVID 2006 Rushes Exploitation By CAS MCG | 6 |
| 20 | Face Recognition Based on Wavelet Transform and Fuzzy Neural Network | 1 |
About Sheng Tang
Sheng Tang is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (48 papers), Video Analysis and Summarization (34 papers) and Image Retrieval and Classification Techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), General Social Sciences (87 citations) and Artificial Intelligence (791 citations). Sheng Tang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yongdong Zhang, Juan Cao, Jintao Li, Tian Xia, Rui Zhang, Tianyi Wu, Ling‐Hui Li, Lixi Deng, Shuicheng Yan and Jintao Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.