Xiaohui Tao
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 14
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- Topic Modeling 23
- Sentiment Analysis and Opinion Mining 22
- Advanced Text Analysis Techniques 18
- Advanced Graph Neural Networks 14
- Machine Learning in Healthcare 14
Xiaohui Tao
185 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Health Informatics 128
- Health Information Management 249
- Artificial Intelligence 1.4k
- Information Systems 553
- Computer Science Applications 125
Countries citing papers authored by Xiaohui Tao
This map shows the geographic impact of Xiaohui Tao'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 Xiaohui Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Tao more than expected).
Fields of papers citing papers by Xiaohui Tao
This network shows the impact of papers produced by Xiaohui Tao. 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 Xiaohui Tao. The network helps show where Xiaohui Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Tao, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 70 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 82 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 22 | |
| 18 | A novel approach for component based application logic event attack modeling | 2020 | 1 |
| 19 | 2020 | 0 | |
| 20 | A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks | 2013 | 5 |
About Xiaohui Tao
Xiaohui Tao is a scholar working on Health Information Management, Artificial Intelligence, Health Informatics, Information Systems and Computer Science Applications, having authored 205 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Sentiment Analysis and Opinion Mining (22 papers), Advanced Text Analysis Techniques (18 papers), Web Data Mining and Analysis (15 papers), Artificial Intelligence in Healthcare (14 papers), Advanced Graph Neural Networks (14 papers), Machine Learning in Healthcare (14 papers) and Recommender Systems and Techniques (13 papers). The work is most often cited by research in Health Informatics (128 citations), Health Information Management (249 citations), Artificial Intelligence (1.4k citations), Information Systems (553 citations) and Computer Science Applications (125 citations). Xiaohui Tao has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Xujuan Zhou, Raj Gururajan, Yuefeng Li, Lin Li, Thanveer Shaik, Haoran Xie, Jianming Yong, Ji Zhang, U. Rajendra Acharya and Ning Zhong. Their work appears in journals such as World Wide Web, Information Fusion, Knowledge-Based Systems, IEEE Access and Brain Informatics.
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.