Yu Wu
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Muhammad Azeem AkbarSaima RafiGuoyin WangAbdu GumaeiAhmed AlsanadQun LiuXiaofeng LiaoSongtao Guo
- Topics
- Complex Network Analysis Techniques (15 papers)Rough Sets and Fuzzy Logic (13 papers)Advanced Computational Techniques and Applications (7 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Yu Wu
59 papers receiving 484 citations
Peers
Comparison fields: 5 of 93
- Information Systems 189
- Artificial Intelligence 181
- Computer Networks and Communications 157
- Statistical and Nonlinear Physics 90
- Computational Theory and Mathematics 78
Countries citing papers authored by Yu Wu
This map shows the geographic impact of Yu 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 Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wu more than expected).
Fields of papers citing papers by Yu Wu
This network shows the impact of papers produced by Yu 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 Yu Wu. The network helps show where Yu Wu may publish in the future.
Co-authorship network of co-authors of Yu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Wu. A scholar is included among the top collaborators of Yu 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 Yu Wu. Yu 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 | 4 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 24 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | Survey on visualization technology and its applications on complex network | 1 |
| 13 | Approach of shot-boundary detection based on multi-feature fusion | 3 |
| 14 | Collision detection algorithm based on mixed bounding box | 1 |
| 15 | 2 | |
| 16 | A Granular Computing Model Based on Tolerance relation | 4 |
| 17 | Direct Reduction Method for Incomplete Information System | 4 |
| 18 | Granular Computing in Incomplete Information Systems | 4 |
| 19 | 26 | |
| 20 | Temporal Database Bibliography Update. | 8 |
About Yu Wu
Yu Wu is a scholar working on Statistical and Nonlinear Physics, Information Systems and Computational Theory and Mathematics, having authored 63 papers that have together received 519 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Rough Sets and Fuzzy Logic (13 papers) and Advanced Computational Techniques and Applications (7 papers). The work is most often cited by research in Information Systems (189 citations), Statistical and Nonlinear Physics (90 citations) and Computer Networks and Communications (157 citations). Yu Wu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Muhammad Azeem Akbar, Saima Rafi, Guoyin Wang, Abdu Gumaei, Ahmed Alsanad, Qun Liu, Xiaofeng Liao, Songtao Guo, Jun Zhao and Dajiang Lei. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Frontiers in Plant Science.
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.