Feng Ye
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
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- Cancer, Lipids, and Metabolism
Papers in
- Oncology 11
- Inflammatory Biomarkers in Disease Prognosis 2
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- MRI in cancer diagnosis 4
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Wenya Yu (1 shared paper)Chen Xue (1 shared paper)Meina Li (1 shared paper)Lulu Zhang (1 shared paper)Pei Liu (3 shared papers)Bo Fu (3 shared papers)Luping Ji (1 shared paper)Hong Bu (3 shared papers)
- Journals
- BMJ Open (2 papers)Frontiers in Immunology (2 papers)Nephrology Dialysis Transplantation (2 papers)PLoS ONE (2 papers)Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Ye
27 papers receiving 307 citations
Peers
Comparison fields: 5 of 78
- Hepatology 40
- Cancer Research 61
- Microbiology 3
- Oncology 98
- Health Informatics 4
Countries citing papers authored by Feng Ye
This map shows the geographic impact of Feng Ye'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 Feng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ye more than expected).
Fields of papers citing papers by Feng Ye
This network shows the impact of papers produced by Feng Ye. 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 Feng Ye. The network helps show where Feng Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 42 | |
| 2 | 2018 | 35 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2023 | 22 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 10 | |
| 13 | Quantitative real-time polymerase chain reaction is an alternative method for the detection of HER-2 amplification in formalin-fixed paraffin-embedded breast cancer samples. | 2015 | 8 |
| 14 | 2022 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Feng Ye
Feng Ye is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology and Nephrology, having authored 30 papers that have together received 311 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Dialysis and Renal Disease Management (4 papers), Cancer, Lipids, and Metabolism (3 papers), Breast Cancer Treatment Studies (3 papers), AI in cancer detection (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Hepatology (40 citations), Cancer Research (61 citations), Microbiology (3 citations), Oncology (98 citations) and Health Informatics (4 citations). Feng Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wenya Yu, Chen Xue, Meina Li, Lulu Zhang, Pei Liu, Bo Fu, Luping Ji, Hong Bu, Jianxiong Wu and Weiqi Rong. Their work appears in journals such as BMJ Open, Frontiers in Immunology, Nephrology Dialysis Transplantation, PLoS ONE and Journal of Cancer.
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.