Peng Tang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering top 10%
- Co-authors
- Xinggang WangWenyu LiuXiang BaiSong BaiAlan YuilleWei ShenPhilip H. S. TorrLongin Jan Latecki
- Topics
- Advanced Image and Video Retrieval Techniques (13 papers)Advanced Neural Network Applications (11 papers)Image Retrieval and Classification Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peng Tang
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 619
- Media Technology 232
- Radiology, Nuclear Medicine and Imaging 169
- Aerospace Engineering 91
Countries citing papers authored by Peng Tang
This map shows the geographic impact of Peng 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 Peng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Tang more than expected).
Fields of papers citing papers by Peng Tang
This network shows the impact of papers produced by Peng 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 Peng Tang. The network helps show where Peng Tang may publish in the future.
Co-authorship network of co-authors of Peng Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Tang. A scholar is included among the top collaborators of Peng 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 Peng Tang. Peng 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 | 1 | |
| 2 | 23 | |
| 3 | 11 | |
| 4 | 68 | |
| 5 | Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. | 5 |
| 6 | 75 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 76 | |
| 10 | 289 | |
| 11 | 23 | |
| 12 | 308 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | Review on Derivative-Free Nonlinear Bayesian Filtering Methods | 1 |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 5 |
About Peng Tang
Peng Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (11 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (232 citations) and Artificial Intelligence (619 citations). Peng Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinggang Wang, Wenyu Liu, Xiang Bai, Song Bai, Xiang Bai, Alan Yuille, Wei Shen, Philip H. S. Torr, Longin Jan Latecki and Elliot K. Fishman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.