Kunfeng Liu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Lung Cancer Diagnosis and Treatment 6
- Gastric Cancer Management and Outcomes 2
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- Coenzyme Q10 studies and effects 1
- Co-authors
- Xueguo Liu (8 shared papers)Kunwei Li (8 shared papers)Bao Feng (5 shared papers)Wansheng Long (5 shared papers)Yehang Chen (5 shared papers)Nan Yao (2 shared papers)Xiangmeng Chen (4 shared papers)Zhengyu Jin (2 shared papers)
- Journals
- European Radiology (2 papers)European Journal of Radiology (2 papers)iScience (1 paper)Food Hydrocolloids (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kunfeng Liu
17 papers receiving 323 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 108
- Pulmonary and Respiratory Medicine 83
- Food Science 27
- Biomaterials 14
Countries citing papers authored by Kunfeng Liu
This map shows the geographic impact of Kunfeng Liu'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 Kunfeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunfeng Liu more than expected).
Fields of papers citing papers by Kunfeng Liu
This network shows the impact of papers produced by Kunfeng Liu. 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 Kunfeng Liu. The network helps show where Kunfeng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunfeng Liu, 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 | 2020 | 52 | |
| 2 | 2020 | 50 | |
| 3 | 2020 | 36 | |
| 4 | 2021 | 31 | |
| 5 | 2023 | 26 | |
| 6 | 2024 | 24 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 12 | |
| 10 | 2025 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 1 |
About Kunfeng Liu
Kunfeng Liu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Food Science, Radiology, Nuclear Medicine and Imaging and Nutrition and Dietetics, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Polysaccharides Composition and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Food composition and properties (2 papers), Food Chemistry and Fat Analysis (2 papers), Gastric Cancer Management and Outcomes (2 papers), Coenzyme Q10 studies and effects (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (108 citations), Pulmonary and Respiratory Medicine (83 citations), Food Science (27 citations) and Biomaterials (14 citations). Kunfeng Liu has collaborated with scholars based in China and United States. Frequent co-authors include Xueguo Liu, Kunwei Li, Bao Feng, Wansheng Long, Yehang Chen, Nan Yao, Xiangmeng Chen, Zhengyu Jin, Long Chen and David Julian McClements. Their work appears in journals such as European Radiology, European Journal of Radiology, iScience, Food Hydrocolloids and Cancer Imaging.
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.