Sen Wu
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Information Systems
- Co-authors
- Xuedong GaoYanchi LiuZhongmou LiHui XiongJunjie WuXiaodong FengPrantik BhattacharyyaDiane Felmlee
- Topics
- Advanced Clustering Algorithms Research (4 papers)Market Dynamics and Volatility (2 papers)Imbalanced Data Classification Techniques (2 papers)
- Journals
- SustainabilityIEEE Transactions on CyberneticsTransportation Research Record Journal of the Transportation Research Board
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Sen Wu
13 papers receiving 287 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 133
- Statistical and Nonlinear Physics 49
- Computer Vision and Pattern Recognition 41
- Signal Processing 38
- Information Systems 30
Countries citing papers authored by Sen Wu
This map shows the geographic impact of Sen 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 Sen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Wu more than expected).
Fields of papers citing papers by Sen Wu
This network shows the impact of papers produced by Sen 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 Sen Wu. The network helps show where Sen Wu may publish in the future.
Co-authorship network of co-authors of Sen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Sen Wu. A scholar is included among the top collaborators of Sen 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 Sen Wu. Sen 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 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | Development of MBA Education in China and Industrial Management Education | 1 |
| 9 | 3 | |
| 10 | 227 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | CABOSFV algorithm for high dimensional sparse data clustering | 14 |
About Sen Wu
Sen Wu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Market Dynamics and Volatility (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (133 citations), Statistical and Nonlinear Physics (49 citations) and Signal Processing (38 citations). Sen Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xuedong Gao, Yanchi Liu, Zhongmou Li, Hui Xiong, Junjie Wu, Xiaodong Feng, Prantik Bhattacharyya, Diane Felmlee, Zhiguang Shan and Yang Liu. Their work appears in journals such as Sustainability, IEEE Transactions on Cybernetics and Transportation Research Record Journal of the Transportation Research Board.
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.