Yangfan Su
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Surgery 3
-
- Lung Cancer Diagnosis and Treatment 2
- Medical Imaging and Pathology Studies 1
- Co-authors
- Yong Li (1 shared paper)Weibin Xie (1 shared paper)Hao Yu (1 shared paper)Shaoxu Wu (1 shared paper)Siya Shi (1 shared paper)Hao Liu (1 shared paper)Jian Huang (1 shared paper)Tianxin Lin (1 shared paper)
- Journals
- American Journal of Hematology (2 papers)Clinical Cancer Research (1 paper)International Journal of Surgery (1 paper)European Journal of Radiology (1 paper)Phytomedicine (1 paper)
- Partner nations
- China
In The Last Decade
Yangfan Su
11 papers receiving 463 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 236
- Health Informatics 8
- Pulmonary and Respiratory Medicine 119
- Hepatology 24
- Oncology 81
Countries citing papers authored by Yangfan Su
This map shows the geographic impact of Yangfan Su'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 Yangfan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangfan Su more than expected).
Fields of papers citing papers by Yangfan Su
This network shows the impact of papers produced by Yangfan Su. 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 Yangfan Su. The network helps show where Yangfan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangfan Su, 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 | A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer Hit paper breakdown → | 2017 | 313 |
| 2 | 2014 | 60 | |
| 3 | 2023 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2024 | 23 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Yangfan Su
Yangfan Su is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 13 papers that have together received 466 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Signaling Pathways in Disease (1 paper), HIV Research and Treatment (1 paper), Advanced Fiber Optic Sensors (1 paper) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (236 citations), Health Informatics (8 citations), Pulmonary and Respiratory Medicine (119 citations), Hepatology (24 citations) and Oncology (81 citations). Yangfan Su has collaborated with scholars based in China. Frequent co-authors include Yong Li, Weibin Xie, Hao Yu, Shaoxu Wu, Siya Shi, Hao Liu, Jian Huang, Tianxin Lin, Junjiong Zheng and Shi Liang. Their work appears in journals such as American Journal of Hematology, Clinical Cancer Research, International Journal of Surgery, European Journal of Radiology and Phytomedicine.
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.