Junwei Lv
Impact in
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- Medicinal Plants and Neuroprotection
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Xianting Ding (5 shared papers)Ting Zhang (2 shared papers)Alok Sharma (1 shared paper)Yu‐Chen Wu (1 shared paper)Jiahui Sun (1 shared paper)Jia Huang (1 shared paper)Yulong Li (1 shared paper)Wei Shen (2 shared papers)
- Journals
- Frontiers in Immunology (1 paper)Polymer (1 paper)Advances in Radiation Oncology (1 paper)Epidemiology and Infection (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Junwei Lv
18 papers receiving 356 citations
Peers
Comparison fields: 5 of 103
- Complementary and alternative medicine 70
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 67
- Neurology 22
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Junwei Lv
This map shows the geographic impact of Junwei 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 Junwei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Lv more than expected).
Fields of papers citing papers by Junwei Lv
This network shows the impact of papers produced by Junwei 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 Junwei Lv. The network helps show where Junwei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2019 | 60 | |
| 3 | 2021 | 44 | |
| 4 | 2015 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2019 | 22 | |
| 7 | 2016 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2012 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Junwei Lv
Junwei Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Biomedical Engineering, having authored 19 papers that have together received 357 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Advanced X-ray and CT Imaging (2 papers), Immune Cell Function and Interaction (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Medicinal Plants and Neuroprotection (2 papers), Eosinophilic Esophagitis (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Complementary and alternative medicine (70 citations), Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Neurology (22 citations) and Applied Microbiology and Biotechnology (5 citations). Junwei Lv has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xianting Ding, Ting Zhang, Alok Sharma, Yu‐Chen Wu, Jiahui Sun, Jia Huang, Yulong Li, Wei Shen, Chaonan Zhu and Xiao Hu. Their work appears in journals such as Frontiers in Immunology, Polymer, Advances in Radiation Oncology, Epidemiology and Infection and Science Translational 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.