Ta Zhou
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- AI in cancer detection
Papers in ⓘ
-
- Fuzzy Logic and Control Systems 11
- Neural Networks and Applications 7
-
- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Shitong Wang (5 shared papers)Fu-Lai Chung (1 shared paper)Jing Cai (17 shared papers)Saikit Lam (11 shared papers)Guanjin Wang (5 shared papers)Kup‐Sze Choi (4 shared papers)Hisao Ishibuchi (2 shared papers)Jie Lü (1 shared paper)
In The Last Decade
Ta Zhou
46 papers receiving 605 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 21
- Artificial Intelligence 282
- Radiology, Nuclear Medicine and Imaging 190
- Otorhinolaryngology 23
- Health Information Management 15
Countries citing papers authored by Ta Zhou
This map shows the geographic impact of Ta Zhou'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 Ta Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta Zhou more than expected).
Fields of papers citing papers by Ta Zhou
This network shows the impact of papers produced by Ta Zhou. 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 Ta Zhou. The network helps show where Ta Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ta Zhou, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2023 | 92 | |
| 3 | 2020 | 54 | |
| 4 | 2018 | 35 | |
| 5 | 2023 | 28 | |
| 6 | 2024 | 25 | |
| 7 | 2010 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2023 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2022 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 8 | |
| 20 | Ginsenoside Rg3 capsules combined NP regimen in the treatment of advanced non-small cell lung cancer | 2007 | 7 |
About Ta Zhou
Ta Zhou is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Radiation, having authored 54 papers that have together received 615 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), EEG and Brain-Computer Interfaces (7 papers), Neural Networks and Applications (7 papers), Advanced Radiotherapy Techniques (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Face and Expression Recognition (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (21 citations), Artificial Intelligence (282 citations), Radiology, Nuclear Medicine and Imaging (190 citations), Otorhinolaryngology (23 citations) and Health Information Management (15 citations). Ta Zhou has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Shitong Wang, Fu-Lai Chung, Jing Cai, Saikit Lam, Guanjin Wang, Kup‐Sze Choi, Hisao Ishibuchi, Jie Lü, Bing Li and Jiang Zhang. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Information Sciences, Applied Soft Computing, Applied Sciences and IEEE Transactions on Emerging Topics in Computational Intelligence.
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.