Baotian Hu
- Artificial Intelligence top 2%
- Topic Modeling 44
- Natural Language Processing Techniques 30
- Advanced Text Analysis Techniques 10
- Machine Learning in Healthcare 6
- Speech and dialogue systems 5
- Health Informatics top 10%
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 5
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- Biomedical Text Mining and Ontologies 14
- Co-authors
- Qingcai ChenYuxiang WuXiaolong WangXiaoqiang ZhouBuzhou TangXiangping WuJeffrey M. SchiffmanPhilippe C. Dixon
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Biomechanics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Baotian Hu
65 papers receiving 890 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 625
- Health Informatics 20
- Computer Vision and Pattern Recognition 219
- Physical Therapy, Sports Therapy and Rehabilitation 35
- Behavioral Neuroscience 21
Countries citing papers authored by Baotian Hu
This map shows the geographic impact of Baotian Hu'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 Baotian Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baotian Hu more than expected).
Fields of papers citing papers by Baotian Hu
This network shows the impact of papers produced by Baotian Hu. 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 Baotian Hu. The network helps show where Baotian Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baotian Hu, 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 | 2025 | 9 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 26 | |
| 20 | 2015 | 22 |
About Baotian Hu
Baotian Hu is a scholar working on Artificial Intelligence, Health Informatics and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 938 indexed citations. Recurring topics across this work include Topic Modeling (44 papers), Natural Language Processing Techniques (30 papers), Biomedical Text Mining and Ontologies (14 papers), Advanced Text Analysis Techniques (10 papers), Multimodal Machine Learning Applications (7 papers), Machine Learning in Healthcare (6 papers), Speech and dialogue systems (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (625 citations), Health Informatics (20 citations) and Computer Vision and Pattern Recognition (219 citations). Baotian Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingcai Chen, Yuxiang Wu, Xiaolong Wang, Xiaoqiang Zhou, Buzhou Tang, Xiangping Wu, Jeffrey M. Schiffman, Philippe C. Dixon, Jack T. Dennerlein and Jesse V. Jacobs. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Biomechanics and BMC 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.