Wu Xiaoyun
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Text and Document Classification Technologies
- Topic Modeling
- Natural Language Processing Techniques
- Imbalanced Data Classification Techniques
- Advanced Clustering Algorithms Research
Papers in
-
- Text and Document Classification Technologies 7
- Advanced Clustering Algorithms Research 3
- Advanced Graph Neural Networks 3
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- Data Management and Algorithms 2
- Music and Audio Processing 2
- Co-authors
- Rohini K. SrihariZhaohui ZhengDekang LinZhongfei ZhangJiawei HanPhilip S. YuXiaofei HeDeng Cai
- Journals
- Nature Communications (1 paper)IEEE photonics journal (1 paper)Journal of Computing in Civil Engineering (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wu Xiaoyun
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computational Mathematics 22
- Artificial Intelligence 889
- Computer Vision and Pattern Recognition 393
- Statistical and Nonlinear Physics 166
- Signal Processing 131
Countries citing papers authored by Wu Xiaoyun
This map shows the geographic impact of Wu Xiaoyun'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 Wu Xiaoyun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Xiaoyun more than expected).
Fields of papers citing papers by Wu Xiaoyun
This network shows the impact of papers produced by Wu Xiaoyun. 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 Wu Xiaoyun. The network helps show where Wu Xiaoyun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Xiaoyun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Three-dimensional flexible thermoelectric fabrics for smart wearables Hit paper breakdown → | 2025 | 32 |
| 2 | 2024 | 0 | |
| 3 | Binarized Forest to String Translation | 2011 | 12 |
| 4 | 2010 | 0 | |
| 5 | 2010 | 32 | |
| 6 | 2009 | 149 | |
| 7 | 2008 | 295 | |
| 8 | 2007 | 19 | |
| 9 | 2007 | 19 | |
| 10 | 2006 | 94 | |
| 11 | 2006 | 165 | |
| 12 | Support vector machines for text categorization | 2004 | 3 |
| 13 | 2004 | 89 | |
| 14 | 2004 | 406 | |
| 15 | New ν-support vector machines and their sequential minimal optimization | 2003 | 10 |
| 16 | 2003 | 12 | |
| 17 | UB at TREC 11: Batch and Adaptive Filtering. | 2002 | 2 |
| 18 | 2002 | 11 |
About Wu Xiaoyun
Wu Xiaoyun is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Management Information Systems, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (7 papers), Complex Network Analysis Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Clustering Algorithms Research (3 papers), Advanced Graph Neural Networks (3 papers), Data Management and Algorithms (2 papers), Music and Audio Processing (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computational Mathematics (22 citations), Artificial Intelligence (889 citations), Computer Vision and Pattern Recognition (393 citations), Statistical and Nonlinear Physics (166 citations) and Signal Processing (131 citations). Wu Xiaoyun has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Rohini K. Srihari, Zhaohui Zheng, Dekang Lin, Zhongfei Zhang, Jiawei Han, Philip S. Yu, Xiaofei He, Deng Cai, Bo Long and Bo Long. Their work appears in journals such as Nature Communications, IEEE photonics journal, Journal of Computing in Civil Engineering, ACM SIGKDD Explorations Newsletter and International Conference on Machine Learning.
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.