Xiaoyuan Wang
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Semantic Web and Ontologies
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- Data Management and Algorithms
Papers in
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- Image and Signal Denoising Methods 1
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- Privacy-Preserving Technologies in Data 2
- Semantic Web and Ontologies 2
- Co-authors
- Baile Shi (2 shared papers)Jian Pei (2 shared papers)Jian Xu (2 shared papers)Ada Wai-Chee Fu (2 shared papers)Wei Wang (1 shared paper)Yue Pan (2 shared papers)Xingzhi Sun (2 shared papers)Li Ma (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Fuel (1 paper)Journal of Adolescent Health (1 paper)Lecture notes in computer science (2 papers)International Journal of Information Technologies and Systems Approach (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoyuan Wang
12 papers receiving 404 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 399
- Signal Processing 8
- Information Systems 18
- Management Science and Operations Research 11
- Computer Vision and Pattern Recognition 12
Countries citing papers authored by Xiaoyuan Wang
This map shows the geographic impact of Xiaoyuan Wang'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 Xiaoyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Wang more than expected).
Fields of papers citing papers by Xiaoyuan Wang
This network shows the impact of papers produced by Xiaoyuan Wang. 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 Xiaoyuan Wang. The network helps show where Xiaoyuan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyuan Wang, 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 | 2006 | 331 | |
| 2 | 2006 | 64 | |
| 3 | 2009 | 12 | |
| 4 | 2009 | 9 | |
| 5 | 2006 | 4 | |
| 6 | 2009 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2019 | 2 | |
| 10 | Model Validation Technology in Microscopic Traffic Simulation | 2005 | 1 |
| 11 | 2013 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 0 | |
| 16 | 2021 | 0 |
About Xiaoyuan Wang
Xiaoyuan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Clinical Psychology and Computer Networks and Communications, having authored 16 papers that have together received 436 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Semantic Web and Ontologies (2 papers), Power Line Inspection Robots (1 paper), Image and Signal Denoising Methods (1 paper), Mobile Ad Hoc Networks (1 paper), Traffic control and management (1 paper), Educational Technology and E-Learning (1 paper) and Higher Education and Teaching Methods (1 paper). The work is most often cited by research in Artificial Intelligence (399 citations), Signal Processing (8 citations), Information Systems (18 citations), Management Science and Operations Research (11 citations) and Computer Vision and Pattern Recognition (12 citations). Xiaoyuan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baile Shi, Jian Pei, Jian Xu, Ada Wai-Chee Fu, Wei Wang, Yue Pan, Xingzhi Sun, Li Ma, Kang Zhang and Wei Wang. Their work appears in journals such as Proceedings of the VLDB Endowment, Fuel, Journal of Adolescent Health, Lecture notes in computer science and International Journal of Information Technologies and Systems Approach.
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.