Mulan Jin
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 8
- Machine Learning and Data Classification 2
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- Digital Imaging for Blood Diseases 3
- Advanced Neural Network Applications 3
- Co-authors
- Chuang Zhu (8 shared papers)Ying Wang (6 shared papers)Ting Peng (4 shared papers)Feng Xu (1 shared paper)Shengjie Liu (1 shared paper)Xinyu Jia (1 shared paper)Jun Liu (5 shared papers)Yu Zhang (1 shared paper)
In The Last Decade
Mulan Jin
9 papers receiving 209 citations
Peers
Comparison fields: 5 of 37
- Biophysics 27
- Health Informatics 6
- Artificial Intelligence 147
- Radiology, Nuclear Medicine and Imaging 74
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Mulan Jin
This map shows the geographic impact of Mulan 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 Mulan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mulan Jin more than expected).
Fields of papers citing papers by Mulan Jin
This network shows the impact of papers produced by Mulan 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 Mulan Jin. The network helps show where Mulan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mulan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 2021 | 64 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2019 | 0 |
About Mulan Jin
Mulan Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Genetics and Pathology and Forensic Medicine, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Neural Network Applications (3 papers), Machine Learning and Data Classification (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Viral-associated cancers and disorders (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biophysics (27 citations), Health Informatics (6 citations), Artificial Intelligence (147 citations), Radiology, Nuclear Medicine and Imaging (74 citations) and Computer Vision and Pattern Recognition (73 citations). Mulan Jin has collaborated with scholars based in China and Greece. Frequent co-authors include Chuang Zhu, Ying Wang, Ting Peng, Feng Xu, Shengjie Liu, Xinyu Jia, Jun Liu, Yu Zhang, Wen‐Qi Tang and Jie Li. Their work appears in journals such as Journal of Inflammation Research, Frontiers in Oncology, BMC Pulmonary Medicine, IEEE Transactions on Medical Imaging and Neurocomputing.
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.