Tao Tan
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 21
- COVID-19 diagnosis using AI 7
- Medical Imaging Techniques and Applications 3
- Artificial Intelligence top 10%
- AI in cancer detection 19
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- Advanced Neural Network Applications 10
- Medical Image Segmentation Techniques 7
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- Lung Cancer Diagnosis and Treatment 4
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- Breast Cancer Treatment Studies 4
- Co-authors
- Ritse M. MannTianyu ZhangTong TongRegina G. H. Beets‐TanQinquan GaoLuyi HanLongxuan ZhaoYuanbin Chen
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (3 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaMacaoNetherlands
In The Last Decade
Tao Tan
47 papers receiving 395 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 26
- Radiology, Nuclear Medicine and Imaging 170
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 87
- Neurology 29
Countries citing papers authored by Tao Tan
This map shows the geographic impact of Tao Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Tan more than expected).
Fields of papers citing papers by Tao Tan
This network shows the impact of papers produced by Tao Tan. 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 Tan. The network helps show where Tao Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Tan, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 24 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 12 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 2 | |
| 18 | 2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. | 2020 | 1 |
| 19 | 2019 | 34 | |
| 20 | 2017 | 8 |
About Tao Tan
Tao Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 55 papers that have together received 403 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (19 papers), Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (7 papers), COVID-19 diagnosis using AI (7 papers), Lung Cancer Diagnosis and Treatment (4 papers), Breast Cancer Treatment Studies (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Artificial Intelligence (161 citations). Tao Tan has collaborated with scholars based in China, Macao and Netherlands. Frequent co-authors include Ritse M. Mann, Tianyu Zhang, Tong Tong, Regina G. H. Beets‐Tan, Qinquan Gao, Luyi Han, Longxuan Zhao, Yuanbin Chen, Xinlin Zhang and Anna Min Du. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.