Xueyi Wang
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Physical Therapy, Sports Therapy and Rehabilitation top 10%
- Co-authors
- George AzzopardiJoshua EllulJiajun BuChun ChenJack SnoeyinkDimka KarastoyanovaS. YangElisabeth Wilhelm
- Topics
- Machine Learning in Bioinformatics (2 papers)Protein Structure and Dynamics (2 papers)Imbalanced Data Classification Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionPhysical Therapy, Sports Therapy and RehabilitationHuman-Computer Interaction
- Journals
- IEEE Sensors JournalACS OmegaIEEE/ACM Transactions on Computational Biology and Bioinformatics
- Partner nations
- NetherlandsUnited StatesChina
In The Last Decade
Xueyi Wang
8 papers receiving 276 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 186
- Biomedical Engineering 126
- Artificial Intelligence 59
- Computer Networks and Communications 45
- Physical Therapy, Sports Therapy and Rehabilitation 35
Countries citing papers authored by Xueyi Wang
This map shows the geographic impact of Xueyi 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 Xueyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueyi Wang more than expected).
Fields of papers citing papers by Xueyi Wang
This network shows the impact of papers produced by Xueyi 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 Xueyi Wang. The network helps show where Xueyi Wang may publish in the future.
Co-authorship network of co-authors of Xueyi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xueyi Wang. A scholar is included among the top collaborators of Xueyi Wang 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 Xueyi Wang. Xueyi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 205 | |
| 5 | 4 | |
| 6 | 40 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 21 |
About Xueyi Wang
Xueyi Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 10 papers that have together received 298 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Physical Therapy, Sports Therapy and Rehabilitation (35 citations) and Human-Computer Interaction (20 citations). Xueyi Wang has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include George Azzopardi, Joshua Ellul, Jiajun Bu, Chun Chen, Jack Snoeyink, Dimka Karastoyanova, S. Yang, Elisabeth Wilhelm, Hang Wang and Claudine J. C. Lamoth. Their work appears in journals such as IEEE Sensors Journal, ACS Omega and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.