Zhenyu Wu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Statistical and Nonlinear Physics top 10%
- Signal Processing top 10%
- Co-authors
- Richard M. LeahyYang JiNorman W. PatonLiqiang SongJing XiaoJiaoyan ChenChunhong ZhangAimin Hao
- Topics
- Data Quality and Management (2 papers)Data Stream Mining Techniques (2 papers)Advanced Graph Neural Networks (2 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceACM Computing Surveys
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhenyu Wu
10 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 477
- Artificial Intelligence 244
- Media Technology 105
- Statistical and Nonlinear Physics 63
- Signal Processing 53
Countries citing papers authored by Zhenyu Wu
This map shows the geographic impact of Zhenyu 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 Zhenyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Wu more than expected).
Fields of papers citing papers by Zhenyu Wu
This network shows the impact of papers produced by Zhenyu 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 Zhenyu Wu. The network helps show where Zhenyu Wu may publish in the future.
Co-authorship network of co-authors of Zhenyu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Wu. A scholar is included among the top collaborators of Zhenyu 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 Zhenyu Wu. Zhenyu 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 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | A Heterogeneous Conversational Recommender System for Financial Products. | 1 |
| 10 | An optimal graph theoretic approach to data clustering: theory and its application to image segmentationbreakdown → | 716 |
About Zhenyu Wu
Zhenyu Wu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include Data Quality and Management (2 papers), Data Stream Mining Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Media Technology (105 citations) and Artificial Intelligence (244 citations). Zhenyu Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Richard M. Leahy, Yang Ji, Norman W. Paton, Liqiang Song, Jing Xiao, Jiaoyan Chen, Chunhong Zhang, Aimin Hao, Xuanhua Shi and Qing Xia. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Computing Surveys.
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.