Shi‐Ting Feng
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Hepatology 61
- Hepatocellular Carcinoma Treatment and Prognosis 45
- Liver Disease and Transplantation 16
-
- Radiomics and Machine Learning in Medical Imaging 58
- MRI in cancer diagnosis 24
Shi‐Ting Feng
180 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Hepatology 865
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Informatics 53
- Epidemiology 944
- Oncology 627
Countries citing papers authored by Shi‐Ting Feng
This map shows the geographic impact of Shi‐Ting Feng'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 Shi‐Ting Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi‐Ting Feng more than expected).
Fields of papers citing papers by Shi‐Ting Feng
This network shows the impact of papers produced by Shi‐Ting Feng. 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 Shi‐Ting Feng. The network helps show where Shi‐Ting Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi‐Ting Feng, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 25 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 59 | |
| 14 | 2020 | 42 | |
| 15 | 2019 | 137 | |
| 16 | 2018 | 61 | |
| 17 | Pretreatment prediction of Immunoscore in hepatocellular cancer: a radiomics-based clinical nomogram based on Gd- EOB-DTPA enhanced-MRI | 2018 | 1 |
| 18 | 2018 | 96 | |
| 19 | 2018 | 3 | |
| 20 | 2018 | 44 |
About Shi‐Ting Feng
Shi‐Ting Feng is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Oncology and Microbiology, having authored 198 papers that have together received 3.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (58 papers), Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Liver Disease Diagnosis and Treatment (38 papers), Pancreatic and Hepatic Oncology Research (29 papers), MRI in cancer diagnosis (24 papers), Inflammatory Bowel Disease (23 papers), Neuroendocrine Tumor Research Advances (18 papers) and Liver Disease and Transplantation (16 papers). The work is most often cited by research in Hepatology (865 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (53 citations), Epidemiology (944 citations) and Oncology (627 citations). Shi‐Ting Feng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanji Luo, Zi-Ping Li, Wei Wang, Bingsheng Huang, Zhenpeng Peng, Zhi Dong, Shuling Chen, Ming Kuang, Xin Li and Junzhao Ye. Their work appears in journals such as BMC Cancer, European Radiology, European Journal of Radiology, Contrast Media & Molecular Imaging 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.