Tao Zhou
- Health Informatics top 1%
-
- Video Surveillance and Tracking Methods 25
- Advanced Vision and Imaging 14
- Medical Image Segmentation Techniques 11
- Human Pose and Action Recognition 9
-
- Radiomics and Machine Learning in Medical Imaging 9
- Neurology top 5%
- Brain Tumor Detection and Classification 9
- Media Technology top 1%
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- AI in cancer detection 9
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- Infrared Target Detection Methodologies 9
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaUnited Arab EmiratesUnited States
In The Last Decade
Tao Zhou
92 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 102
- Computer Vision and Pattern Recognition 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Neurology 292
- Media Technology 291
Countries citing papers authored by Tao Zhou
This map shows the geographic impact of Tao 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 Tao Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Zhou more than expected).
Fields of papers citing papers by Tao Zhou
This network shows the impact of papers produced by Tao 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 Tao Zhou. The network helps show where Tao Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 13 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 4 | |
| 13 | Cross-level Feature Aggregation Network for Polyp Segmentationbreakdown → | 2023 | 140 |
| 14 | 2023 | 10 | |
| 15 | 2022 | 70 | |
| 16 | 2021 | 62 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 32 | |
| 20 | Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans | 2020 | 22 |
About Tao Zhou
Tao Zhou is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 97 papers that have together received 3.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), Advanced Vision and Imaging (14 papers), Medical Image Segmentation Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (9 papers), AI in cancer detection (9 papers), Human Pose and Action Recognition (9 papers) and Infrared Target Detection Methodologies (9 papers). The work is most often cited by research in Health Informatics (102 citations), Computer Vision and Pattern Recognition (1.3k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Tao Zhou has collaborated with scholars based in China, United Arab Emirates and United States. Frequent co-authors include Huazhu Fu, Ling Shao, Jianbing Shen, Geng Chen, Yi Zhou, Dinggang Shen, Deng-Ping Fan, Ge-Peng Ji, Jie Yang and Mingxia Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.