Shunxiang Wu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Topics
- Text and Document Classification Technologies (14 papers)Image Retrieval and Classification Techniques (12 papers)Rough Sets and Fuzzy Logic (12 papers)
In The Last Decade
Shunxiang Wu
68 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 647
- Computer Vision and Pattern Recognition 422
- Information Systems 417
- Computational Theory and Mathematics 239
- Molecular Biology 118
Countries citing papers authored by Shunxiang Wu
This map shows the geographic impact of Shunxiang 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 Shunxiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunxiang Wu more than expected).
Fields of papers citing papers by Shunxiang Wu
This network shows the impact of papers produced by Shunxiang 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 Shunxiang Wu. The network helps show where Shunxiang Wu may publish in the future.
Co-authorship network of co-authors of Shunxiang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shunxiang Wu. A scholar is included among the top collaborators of Shunxiang 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 Shunxiang Wu. Shunxiang 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 | 9 | |
| 3 | 23 | |
| 4 | 37 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Rough set theory in interval and set-valued information systems | 6 |
| 9 | A Survey on Guidance Laws for Flight Vehicle | 1 |
| 10 | 1 | |
| 11 | Ant colony optimization with potential field heuristic for robot path planning | 11 |
| 12 | ID-based(t,n) threshold blind signature scheme | 1 |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | DBX mail file parsing based on COM technology | 2 |
| 18 | 5 | |
| 19 | Analysis of index.dat File Structure | 0 |
| 20 | Research on Binotary Finite Zero-sum in Grey Games with Mixed Strategies | 1 |
About Shunxiang Wu
Shunxiang Wu is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (14 papers), Image Retrieval and Classification Techniques (12 papers) and Rough Sets and Fuzzy Logic (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (422 citations), Artificial Intelligence (647 citations) and Information Systems (417 citations). Shunxiang Wu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jinghua Liu, Wei Weng, Yaojin Lin, Yuwen Li, Yuling Fan, Delin Luo, Da Cao, Yannan Chen, Xiangnan He and Tat‐Seng Chua. Their work appears in journals such as PLoS ONE, IEEE Access and Pattern Recognition.
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.