Kun Lv
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Advanced Neuroimaging Techniques and Applications 4
- Corneal surgery and disorders 4
- Co-authors
- Daoying Geng (13 shared papers)Maosheng Xu (8 shared papers)Xin Cao (2 shared papers)Yihong Fan (3 shared papers)Jun Zhang (1 shared paper)Huijuan Wu (7 shared papers)Wenwen Song (3 shared papers)Huijuan Cao (1 shared paper)
- Journals
- Medicine (4 papers)Neuroradiology (2 papers)NeuroImage Clinical (2 papers)European Radiology (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Kun Lv
42 papers receiving 428 citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 148
- Hepatology 48
- Complementary and alternative medicine 37
- Health Informatics 6
- Biological Psychiatry 11
Countries citing papers authored by Kun Lv
This map shows the geographic impact of Kun Lv'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 Kun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lv more than expected).
Fields of papers citing papers by Kun Lv
This network shows the impact of papers produced by Kun Lv. 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 Kun Lv. The network helps show where Kun Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Lv, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 59 | |
| 2 | 2022 | 42 | |
| 3 | 2022 | 29 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2017 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 11 | |
| 13 | 2017 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 6 |
About Kun Lv
Kun Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Ophthalmology and Genetics, having authored 48 papers that have together received 438 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (7 papers), Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers), Retinal Diseases and Treatments (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Corneal surgery and disorders (4 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (148 citations), Hepatology (48 citations), Complementary and alternative medicine (37 citations), Health Informatics (6 citations) and Biological Psychiatry (11 citations). Kun Lv has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Daoying Geng, Maosheng Xu, Xin Cao, Yihong Fan, Jun Zhang, Huijuan Wu, Wenwen Song, Huijuan Cao, Dong Wang and Xuelian Liu. Their work appears in journals such as Medicine, Neuroradiology, NeuroImage Clinical, European Radiology and Journal of Clinical Medicine.
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.