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
- Machine Learning and ELM
Papers in
-
- Fuzzy Logic and Control Systems 12
- Neural Networks and Applications 7
- Imbalanced Data Classification Techniques 3
-
- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Shitong Wang (5 shared papers)Fu-Lai Chung (1 shared paper)Jing Cai (19 shared papers)Saikit Lam (12 shared papers)Guanjin Wang (5 shared papers)Kup‐Sze Choi (4 shared papers)Hisao Ishibuchi (2 shared papers)Yuanpeng Zhang (13 shared papers)
In The Last Decade
Ta Zhou
48 papers receiving 673 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 20
- Artificial Intelligence 283
- Radiology, Nuclear Medicine and Imaging 160
- Otorhinolaryngology 20
- Health Information Management 16
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 104 | |
| 2 | 2016 | 103 | |
| 3 | 2020 | 58 | |
| 4 | 2018 | 37 | |
| 5 | 2024 | 35 | |
| 6 | 2023 | 33 | |
| 7 | 2010 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 15 | |
| 15 | 2024 | 15 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2024 | 10 | |
| 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, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 685 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Neural Networks and Applications (7 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Radiotherapy Techniques (4 papers), Face and Expression Recognition (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Health Informatics (20 citations), Artificial Intelligence (283 citations), Radiology, Nuclear Medicine and Imaging (160 citations), Otorhinolaryngology (20 citations) and Health Information Management (16 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, Yuanpeng Zhang, Jiang Zhang and Jie Lü. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Applied Sciences, Information Sciences and Applied Soft Computing.
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.