Junlin Zhou
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Epidemiology 33
- Meningioma and schwannoma management 30
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- Advanced X-ray and CT Imaging 31
- Co-authors
- Caiqiang Xue (33 shared papers)Jie Tian (11 shared papers)Guojin Zhang (21 shared papers)Wenjuan Zhang (19 shared papers)Yuntai Cao (21 shared papers)Xianwang Liu (40 shared papers)Zhiyong Zhao (15 shared papers)Shenglin Li (29 shared papers)
- Journals
- Neurosurgical Review (11 papers)Frontiers in Oncology (9 papers)Abdominal Radiology (8 papers)Academic Radiology (8 papers)European Journal of Radiology (8 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Junlin Zhou
144 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 341
- Genetics 158
- Health Informatics 17
- Neurology 141
- Epidemiology 257
Countries citing papers authored by Junlin Zhou
This map shows the geographic impact of Junlin Zhou'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 Junlin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlin Zhou more than expected).
Fields of papers citing papers by Junlin Zhou
This network shows the impact of papers produced by Junlin Zhou. 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 Junlin Zhou. The network helps show where Junlin Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlin Zhou, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 119 | |
| 2 | 2020 | 82 | |
| 3 | 2020 | 73 | |
| 4 | 2012 | 39 | |
| 5 | 2022 | 36 | |
| 6 | Predicting EGFR mutation status in lung adenocarcinoma: development and validation of a computed tomography-based radiomics signature. | 2021 | 36 |
| 7 | 2022 | 35 | |
| 8 | 2022 | 30 | |
| 9 | 2013 | 29 | |
| 10 | 2020 | 28 | |
| 11 | 2011 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2016 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2022 | 15 |
About Junlin Zhou
Junlin Zhou is a scholar working on Epidemiology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Genetics and Neurology, having authored 156 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (31 papers), Meningioma and schwannoma management (30 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Glioma Diagnosis and Treatment (20 papers), Neurofibromatosis and Schwannoma Cases (11 papers), Soft tissue tumor case studies (9 papers), Medical Imaging Techniques and Applications (6 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (341 citations), Genetics (158 citations), Health Informatics (17 citations), Neurology (141 citations) and Epidemiology (257 citations). Junlin Zhou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Caiqiang Xue, Jie Tian, Guojin Zhang, Wenjuan Zhang, Yuntai Cao, Xianwang Liu, Zhiyong Zhao, Shenglin Li, Di Dong and Tao Han. Their work appears in journals such as Neurosurgical Review, Frontiers in Oncology, Abdominal Radiology, Academic Radiology and European Journal of Radiology.
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.