Xiangbo Wu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Machine Learning in Healthcare
- Natural Language Processing Techniques
Papers in
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- Acute Ischemic Stroke Management 5
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- Network Security and Intrusion Detection 4
- Co-authors
- Fei Yu (1 shared paper)Hongbo Zhang (1 shared paper)Benyou Wang (2 shared papers)Feng Jiang (1 shared paper)Haizhou Li (1 shared paper)Jianquan Li (2 shared papers)Xiang Wan (1 shared paper)Zhiyi Zhang (1 shared paper)
- Journals
- Frontiers in Neurology (2 papers)CNS Neuroscience & Therapeutics (2 papers)Pain Research and Management (1 paper)Advanced Science (1 paper)Journal of Pain Research (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xiangbo Wu
23 papers receiving 204 citations
Xiangbo Wu's Hit Papers
Peers
Comparison fields: 5 of 72
- Health Informatics 24
- Artificial Intelligence 71
- Internal Medicine 5
- Complementary and alternative medicine 11
- Epidemiology 31
Countries citing papers authored by Xiangbo Wu
This map shows the geographic impact of Xiangbo 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 Xiangbo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangbo Wu more than expected).
Fields of papers citing papers by Xiangbo Wu
This network shows the impact of papers produced by Xiangbo 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 Xiangbo Wu. The network helps show where Xiangbo Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangbo Wu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HuatuoGPT, Towards Taming Language Model to Be a Doctor Hit paper breakdown → | 2023 | 105 |
| 2 | 2020 | 21 | |
| 3 | 2021 | 12 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 1 |
About Xiangbo Wu
Xiangbo Wu is a scholar working on Epidemiology, Computer Networks and Communications, Artificial Intelligence, Surgery and Molecular Biology, having authored 28 papers that have together received 207 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Malware Detection Techniques (2 papers), Plant and Fungal Interactions Research (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (71 citations), Internal Medicine (5 citations), Complementary and alternative medicine (11 citations) and Epidemiology (31 citations). Xiangbo Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Fei Yu, Hongbo Zhang, Benyou Wang, Feng Jiang, Haizhou Li, Jianquan Li, Xiang Wan, Zhiyi Zhang, Junying Chen and Zhihong Chen. Their work appears in journals such as Frontiers in Neurology, CNS Neuroscience & Therapeutics, Pain Research and Management, Advanced Science and Journal of Pain Research.
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.