Tingdan Hu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 7
- MRI in cancer diagnosis 1
- Medical Imaging Techniques and Applications 1
- Oncology 4
- Colorectal Cancer Surgical Treatments 4
- Colorectal Cancer Screening and Detection 1
- Co-authors
- Tong Tong (13 shared papers)Weijun Peng (3 shared papers)De-Bing Shi (2 shared papers)Yiqun Sun (4 shared papers)Yuan Li (1 shared paper)Wenhua Li (1 shared paper)Huan Zhang (1 shared paper)Jing Gong (4 shared papers)
- Journals
- European Journal of Radiology (2 papers)European Radiology (2 papers)Frontiers in Oncology (1 paper)Cancers (1 paper)Abdominal Radiology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tingdan Hu
12 papers receiving 224 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 109
- Hepatology 24
- Oncology 50
- Pulmonary and Respiratory Medicine 45
- Health Informatics 1
Countries citing papers authored by Tingdan Hu
This map shows the geographic impact of Tingdan Hu'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 Tingdan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingdan Hu more than expected).
Fields of papers citing papers by Tingdan Hu
This network shows the impact of papers produced by Tingdan Hu. 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 Tingdan Hu. The network helps show where Tingdan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingdan Hu, 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 | 2018 | 81 | |
| 2 | 2018 | 52 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 15 | |
| 5 | 2024 | 10 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Tingdan Hu
Tingdan Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 13 papers that have together received 225 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Surgical Treatments (4 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advanced X-ray and CT Imaging (1 paper), MRI in cancer diagnosis (1 paper), Medical Imaging Techniques and Applications (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (109 citations), Hepatology (24 citations), Oncology (50 citations), Pulmonary and Respiratory Medicine (45 citations) and Health Informatics (1 citation). Tingdan Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tong Tong, Weijun Peng, De-Bing Shi, Yiqun Sun, Yuan Li, Wenhua Li, Huan Zhang, Jing Gong, Dan Huang and Fangqi Liu. Their work appears in journals such as European Journal of Radiology, European Radiology, Frontiers in Oncology, Cancers and Abdominal Radiology.
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.