Juebin Jin
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 4
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- Endometrial and Cervical Cancer Treatments 5
- Co-authors
- Xiance Jin (22 shared papers)Congying Xie (16 shared papers)Yao Ai (16 shared papers)Ji Zhang (9 shared papers)Haiyan Zhu (5 shared papers)Ce Han (3 shared papers)Xiaomin Zheng (2 shared papers)Cong Liu (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Technology in Cancer Research & Treatment (4 papers)European Radiology (3 papers)Journal of Digital Imaging (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaSwitzerlandSouth Korea
In The Last Decade
Juebin Jin
25 papers receiving 408 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 162
- Obstetrics and Gynecology 48
- Reproductive Medicine 43
- Health Informatics 6
- Radiation 20
Countries citing papers authored by Juebin Jin
This map shows the geographic impact of Juebin Jin'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 Juebin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juebin Jin more than expected).
Fields of papers citing papers by Juebin Jin
This network shows the impact of papers produced by Juebin Jin. 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 Juebin Jin. The network helps show where Juebin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Juebin Jin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2021 | 48 | |
| 3 | 2020 | 44 | |
| 4 | 2021 | 23 | |
| 5 | 2023 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 9 | |
| 19 | Rumex acetosa L. induces vasorelaxation in rat aorta via activation of PI3-kinase/Akt- AND Ca(2+)-eNOS-NO signaling in endothelial cells. | 2015 | 9 |
| 20 | 2019 | 7 |
About Juebin Jin
Juebin Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Radiation and Artificial Intelligence, having authored 27 papers that have together received 414 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Endometrial and Cervical Cancer Treatments (5 papers), MRI in cancer diagnosis (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Advanced Radiotherapy Techniques (2 papers), Ovarian cancer diagnosis and treatment (2 papers), AI in cancer detection (2 papers) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (162 citations), Obstetrics and Gynecology (48 citations), Reproductive Medicine (43 citations), Health Informatics (6 citations) and Radiation (20 citations). Juebin Jin has collaborated with scholars based in China, Switzerland and South Korea. Frequent co-authors include Xiance Jin, Congying Xie, Yao Ai, Ji Zhang, Haiyan Zhu, Ce Han, Xiaomin Zheng, Cong Liu, Didi Chen and Xia Deng. Their work appears in journals such as Frontiers in Oncology, Technology in Cancer Research & Treatment, European Radiology, Journal of Digital Imaging and Cancer Management and Research.
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.