Feng Tian
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Geometry and Topology top 5%
- Co-authors
- Xiang WangXiangnan HeTat‐Seng ChuaJinhui TangXiaoyu DuChang Hong LiuJing WangAn Chang
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Image Retrieval and Classification Techniques (8 papers)Advanced Graph Theory Research (7 papers)
- Cited by
- Computational MathematicsDiscrete Mathematics and CombinatoricsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Feng Tian
34 papers receiving 607 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 262
- Artificial Intelligence 227
- Information Systems 197
- Computational Theory and Mathematics 113
- Geometry and Topology 92
Countries citing papers authored by Feng Tian
This map shows the geographic impact of Feng Tian'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 Feng Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Tian more than expected).
Fields of papers citing papers by Feng Tian
This network shows the impact of papers produced by Feng Tian. 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 Feng Tian. The network helps show where Feng Tian may publish in the future.
Co-authorship network of co-authors of Feng Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tian. A scholar is included among the top collaborators of Feng Tian 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 Feng Tian. Feng Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 20 | |
| 16 | 47 | |
| 17 | 22 | |
| 18 | 22 | |
| 19 | 0 | |
| 20 | 2 |
About Feng Tian
Feng Tian is a scholar working on Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Graph Theory Research (7 papers). The work is most often cited by research in Computational Mathematics (15 citations), Discrete Mathematics and Combinatorics (41 citations) and Computer Vision and Pattern Recognition (262 citations). Feng Tian has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Xiang Wang, Xiangnan He, Tat‐Seng Chua, Jinhui Tang, Xiaoyu Du, Chang Hong Liu, Jing Wang, An Chang, Xiao Wang and Kun Zhan. Their work appears in journals such as Oncogene, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Cybernetics.
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.