Tianfu Wu
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Geology top 2%
- Building and Construction top 5%
- Topics
- Advanced Image and Video Retrieval Techniques (27 papers)Advanced Neural Network Applications (17 papers)Domain Adaptation and Few-Shot Learning (13 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational ResearchIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Tianfu Wu
73 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 982
- Aerospace Engineering 300
- Artificial Intelligence 218
- Geology 171
- Building and Construction 120
Countries citing papers authored by Tianfu Wu
This map shows the geographic impact of Tianfu Wu'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 Tianfu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianfu Wu more than expected).
Fields of papers citing papers by Tianfu Wu
This network shows the impact of papers produced by Tianfu Wu. 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 Tianfu Wu. The network helps show where Tianfu Wu may publish in the future.
Co-authorship network of co-authors of Tianfu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianfu Wu. A scholar is included among the top collaborators of Tianfu Wu 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 Tianfu Wu. Tianfu Wu 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 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 37 | |
| 14 | 12 | |
| 15 | 88 | |
| 16 | AOGNets: Deep AND-OR Grammar Networks for Visual Recognition | 5 |
| 17 | Zero-Shot Learning via Revealing Data Distribution. | 4 |
| 18 | 6 | |
| 19 | 15 | |
| 20 | 0 |
About Tianfu Wu
Tianfu Wu is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (27 papers), Advanced Neural Network Applications (17 papers) and Domain Adaptation and Few-Shot Learning (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (982 citations), Geology (171 citations) and Computer Graphics and Computer-Aided Design (53 citations). Tianfu Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Song‐Chun Zhu, Gui-Song Xia, Wei Sun, Liangpei Zhang, Nan Xue, Liang Lin, Nan Xue, Xianpeng Liu, Song Bai and Khashayar Asadi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and IEEE Transactions on Image Processing.
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.