Yueming Jin
Impact in
- Health Informatics top 1%
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Multimodal Machine Learning Applications 13
- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 10
- Human Pose and Action Recognition 8
- Surgery 26
- Surgical Simulation and Training 23
- Co-authors
- Pheng‐Ann Heng (46 shared papers)Qi Dou (32 shared papers)Hao Chen (7 shared papers)Jing Qin (8 shared papers)Lequan Yu (6 shared papers)Chi‐Wing Fu (7 shared papers)Xin Yang (1 shared paper)Cheng Chen (4 shared papers)
In The Last Decade
Yueming Jin
76 papers receiving 3.2k citations
Yueming Jin's Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 133
- Computer Vision and Pattern Recognition 1.3k
- Radiology, Nuclear Medicine and Imaging 866
- Neurology 296
- Otorhinolaryngology 83
Countries citing papers authored by Yueming Jin
This map shows the geographic impact of Yueming 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 Yueming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueming Jin more than expected).
Fields of papers citing papers by Yueming Jin
This network shows the impact of papers produced by Yueming 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 Yueming Jin. The network helps show where Yueming Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yueming 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 3D deeply supervised network for automated segmentation of volumetric medical images Hit paper breakdown → | 2017 | 483 |
| 2 | Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma Hit paper breakdown → | 2019 | 257 |
| 3 | 2016 | 244 | |
| 4 | 2017 | 242 | |
| 5 | Medical SAM adapter: Adapting segment anything model for medical image segmentation Hit paper breakdown → | 2025 | 186 |
| 6 | 2019 | 163 | |
| 7 | MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer Hit paper breakdown → | 2024 | 147 |
| 8 | 2017 | 131 | |
| 9 | 2019 | 121 | |
| 10 | 2021 | 88 | |
| 11 | 2021 | 88 | |
| 12 | 2021 | 88 | |
| 13 | 2019 | 87 | |
| 14 | 2021 | 68 | |
| 15 | 2020 | 46 | |
| 16 | 2017 | 45 | |
| 17 | 2020 | 43 | |
| 18 | 2021 | 34 | |
| 19 | 2022 | 33 | |
| 20 | 2023 | 32 |
About Yueming Jin
Yueming Jin is a scholar working on Computer Vision and Pattern Recognition, Surgery, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Surgical Simulation and Training (23 papers), Multimodal Machine Learning Applications (13 papers), Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (10 papers), AI in cancer detection (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (8 papers) and Anatomy and Medical Technology (7 papers). The work is most often cited by research in Health Informatics (133 citations), Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (866 citations), Neurology (296 citations) and Otorhinolaryngology (83 citations). Yueming Jin has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Pheng‐Ann Heng, Qi Dou, Hao Chen, Jing Qin, Lequan Yu, Chi‐Wing Fu, Xin Yang, Cheng Chen, Zixu Zhao and Yanwu Xu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, IEEE Robotics and Automation Letters and Lecture notes in computer science.
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.