Wei-Zhi Wu
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Management Science and Operations Research top 1%
- Signal Processing top 5%
- Co-authors
- Yee LeungJu‐Sheng MiTong-Jun LiManfréd M. FischerYuhua QianWen‐Xiu ZhangMingwen ShaoJianming Zhan
- Topics
- Rough Sets and Fuzzy Logic (27 papers)Multi-Criteria Decision Making (11 papers)Data Mining Algorithms and Applications (9 papers)
In The Last Decade
Wei-Zhi Wu
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 574
- Information Systems 547
- Management Science and Operations Research 413
- Signal Processing 162
Countries citing papers authored by Wei-Zhi Wu
This map shows the geographic impact of Wei-Zhi 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 Wei-Zhi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Zhi Wu more than expected).
Fields of papers citing papers by Wei-Zhi Wu
This network shows the impact of papers produced by Wei-Zhi 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 Wei-Zhi Wu. The network helps show where Wei-Zhi Wu may publish in the future.
Co-authorship network of co-authors of Wei-Zhi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Zhi Wu. A scholar is included among the top collaborators of Wei-Zhi 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 Wei-Zhi Wu. Wei-Zhi 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 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 53 | |
| 6 | 46 | |
| 7 | 14 | |
| 8 | 54 | |
| 9 | 121 | |
| 10 | 34 | |
| 11 | 47 | |
| 12 | 4 | |
| 13 | On Multi-granular Labeled Classification for Spatial Remote Sensing Data | 3 |
| 14 | 20 | |
| 15 | 76 | |
| 16 | Heuristic Ad Hoc Network Routing Protocol Based on Geographic Location | 3 |
| 17 | 295 | |
| 18 | 150 | |
| 19 | Knowledge Reducts Based on Variable Precision Rough Set Theory | 4 |
| 20 | 11 |
About Wei-Zhi Wu
Wei-Zhi Wu is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Information Systems, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (27 papers), Multi-Criteria Decision Making (11 papers) and Data Mining Algorithms and Applications (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Management Science and Operations Research (413 citations) and Information Systems (547 citations). Wei-Zhi Wu has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Yee Leung, Ju‐Sheng Mi, Tong-Jun Li, Manfréd M. Fischer, Yuhua Qian, Wen‐Xiu Zhang, Mingwen Shao, Jianming Zhan, Hongying Zhang and Hongzhi Yang. Their work appears in journals such as Sensors, Information Sciences and Sustainability.
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.