Yiming Wu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Molecular Biology
- Computer Science Applications top 5%
- Topics
- Generative Adversarial Networks and Image Synthesis (4 papers)Face and Expression Recognition (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yiming Wu
22 papers receiving 411 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 164
- Computer Vision and Pattern Recognition 162
- Information Systems 101
- Molecular Biology 70
- Computer Science Applications 57
Countries citing papers authored by Yiming Wu
This map shows the geographic impact of Yiming 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 Yiming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Wu more than expected).
Fields of papers citing papers by Yiming Wu
This network shows the impact of papers produced by Yiming 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 Yiming Wu. The network helps show where Yiming Wu may publish in the future.
Co-authorship network of co-authors of Yiming Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Wu. A scholar is included among the top collaborators of Yiming 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 Yiming Wu. Yiming 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 65 | |
| 14 | 57 | |
| 15 | 15 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 24 | |
| 19 | 3 | |
| 20 | 50 |
About Yiming Wu
Yiming Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 28 papers that have together received 423 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Face and Expression Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Science Applications (57 citations), Computer Vision and Pattern Recognition (162 citations) and Artificial Intelligence (164 citations). Yiming Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kap Luk Chan, Shaohua Tang, Bowen Zhao, Ke Zhao, Xi Li, Chibiao Chen, Zhihua Zhang, Xudong Zhao, Qing Jiao and Guohua Wang. 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.