Xuebing Yang
Impact in
Papers in
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- Machine Learning in Healthcare 9
- Topic Modeling 5
- Advanced Graph Neural Networks 4
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- Human Pose and Action Recognition 3
- Co-authors
- Wensheng Zhang (34 shared papers)Yongqiang Tang (9 shared papers)Guoping Zhang (1 shared paper)Guoping Zhang (4 shared papers)Chenyang Zhang (6 shared papers)Jianing Xi (3 shared papers)Yuan Xie (1 shared paper)Qinghua Huang (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Letters (4 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Applied Intelligence (2 papers)Journal of Biomedical Informatics (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xuebing Yang
37 papers receiving 389 citations
Peers
Comparison fields: 5 of 75
- Computational Mathematics 7
- Health Informatics 10
- Health Information Management 31
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 115
Countries citing papers authored by Xuebing Yang
This map shows the geographic impact of Xuebing Yang'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 Xuebing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuebing Yang more than expected).
Fields of papers citing papers by Xuebing Yang
This network shows the impact of papers produced by Xuebing Yang. 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 Xuebing Yang. The network helps show where Xuebing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuebing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2019 | 34 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2024 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 8 |
About Xuebing Yang
Xuebing Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atmospheric Science, Global and Planetary Change and Health Information Management, having authored 39 papers that have together received 393 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Precipitation Measurement and Analysis (8 papers), Meteorological Phenomena and Simulations (6 papers), Flood Risk Assessment and Management (5 papers), Topic Modeling (5 papers), Advanced Graph Neural Networks (4 papers), Complex Network Analysis Techniques (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computational Mathematics (7 citations), Health Informatics (10 citations), Health Information Management (31 citations), Artificial Intelligence (195 citations) and Computer Vision and Pattern Recognition (115 citations). Xuebing Yang has collaborated with scholars based in China and United States. Frequent co-authors include Wensheng Zhang, Yongqiang Tang, Guoping Zhang, Guoping Zhang, Chenyang Zhang, Jianing Xi, Yuan Xie, Qinghua Huang, Yifan Gu and Mengxuan Sun. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Knowledge and Data Engineering, Applied Intelligence, Journal of Biomedical Informatics and Neurocomputing.
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.