Lin‐Feng Yan
Impact in
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 5
- Advanced Neuroimaging Techniques and Applications 5
- Advanced MRI Techniques and Applications 5
-
- Functional Brain Connectivity Studies 8
- Co-authors
- Guangbin Cui (42 shared papers)Wen Wang (33 shared papers)Yu‐Chuan Hu (21 shared papers)Yu Han (19 shared papers)Hai‐Yan Nan (18 shared papers)Ying Yu (28 shared papers)Bo Hu (19 shared papers)Qiang Tian (11 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)Journal of Magnetic Resonance Imaging (3 papers)Frontiers in Neurology (3 papers)Nutrition and Diabetes (3 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Lin‐Feng Yan
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Genetics 352
- Neurology 263
- Radiology, Nuclear Medicine and Imaging 499
- Health Informatics 16
- Cognitive Neuroscience 125
Countries citing papers authored by Lin‐Feng Yan
This map shows the geographic impact of Lin‐Feng Yan'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 Lin‐Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Feng Yan more than expected).
Fields of papers citing papers by Lin‐Feng Yan
This network shows the impact of papers produced by Lin‐Feng Yan. 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 Lin‐Feng Yan. The network helps show where Lin‐Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Feng Yan, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 213 | |
| 2 | 2018 | 176 | |
| 3 | 2017 | 103 | |
| 4 | 2018 | 76 | |
| 5 | 2019 | 71 | |
| 6 | 2014 | 70 | |
| 7 | 2018 | 48 | |
| 8 | 2019 | 48 | |
| 9 | 2019 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2017 | 38 | |
| 12 | 2019 | 33 | |
| 13 | 2013 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2020 | 28 | |
| 16 | 2016 | 28 | |
| 17 | 2022 | 25 | |
| 18 | 2018 | 24 | |
| 19 | 2010 | 22 | |
| 20 | 2020 | 22 |
About Lin‐Feng Yan
Lin‐Feng Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Genetics, Molecular Biology and Neurology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Functional Brain Connectivity Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Brain Tumor Detection and Classification (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Genetics (352 citations), Neurology (263 citations), Radiology, Nuclear Medicine and Imaging (499 citations), Health Informatics (16 citations) and Cognitive Neuroscience (125 citations). Lin‐Feng Yan has collaborated with scholars based in China and United States. Frequent co-authors include Guangbin Cui, Wen Wang, Yu‐Chuan Hu, Yu Han, Hai‐Yan Nan, Ying Yu, Bo Hu, Qiang Tian, Yang Yang and Ying‐Zhi Sun. Their work appears in journals such as Frontiers in Neuroscience, Journal of Magnetic Resonance Imaging, Frontiers in Neurology, Nutrition and Diabetes and Oncotarget.
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.