Junjun He
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Ophthalmology top 2%
- Glaucoma and retinal disorders
Papers in
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- Advanced Neural Network Applications 22
- Multimodal Machine Learning Applications 13
- Medical Image Segmentation Techniques 12
- Digital Imaging for Blood Diseases 9
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- Radiomics and Machine Learning in Medical Imaging 18
- Retinal Imaging and Analysis 11
- COVID-19 diagnosis using AI 10
- Co-authors
- Yu Qiao (21 shared papers)Zhongying Deng (14 shared papers)Yali Wang (2 shared papers)Lei Zhou (1 shared paper)Jin Ye (5 shared papers)Wenhao Wu (1 shared paper)Xiaojiang Peng (1 shared paper)Lixu Gu (9 shared papers)
- Journals
- Medical Image Analysis (4 papers)Biomedical Signal Processing and Control (4 papers)IEEE Transactions on Medical Imaging (3 papers)Lecture notes in computer science (22 papers)Human Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junjun He
95 papers receiving 2.0k citations
Junjun He's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.0k
- Ophthalmology 198
- Radiology, Nuclear Medicine and Imaging 498
- Artificial Intelligence 562
- Media Technology 143
Countries citing papers authored by Junjun He
This map shows the geographic impact of Junjun He'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 Junjun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun He more than expected).
Fields of papers citing papers by Junjun He
This network shows the impact of papers produced by Junjun He. 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 Junjun He. The network helps show where Junjun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun He, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive Pyramid Context Network for Semantic Segmentation Hit paper breakdown → | 2019 | 322 |
| 2 | 2019 | 234 | |
| 3 | 2020 | 159 | |
| 4 | 2023 | 90 | |
| 5 | 2021 | 77 | |
| 6 | 2020 | 71 | |
| 7 | 2020 | 56 | |
| 8 | 2020 | 54 | |
| 9 | 2020 | 51 | |
| 10 | 2021 | 47 | |
| 11 | 2022 | 42 | |
| 12 | 2023 | 39 | |
| 13 | 2022 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2024 | 36 | |
| 16 | SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images Hit paper breakdown → | 2025 | 35 |
| 17 | 2019 | 33 | |
| 18 | 2024 | 30 | |
| 19 | 2020 | 25 | |
| 20 | 2023 | 22 |
About Junjun He
Junjun He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Ophthalmology and Neurology, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Multimodal Machine Learning Applications (13 papers), AI in cancer detection (13 papers), Medical Image Segmentation Techniques (12 papers), Retinal Imaging and Analysis (11 papers), COVID-19 diagnosis using AI (10 papers) and Digital Imaging for Blood Diseases (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Ophthalmology (198 citations), Radiology, Nuclear Medicine and Imaging (498 citations), Artificial Intelligence (562 citations) and Media Technology (143 citations). Junjun He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Qiao, Zhongying Deng, Yali Wang, Lei Zhou, Jin Ye, Wenhao Wu, Xiaojiang Peng, Lixu Gu, Cheng Li and Ye Jin. Their work appears in journals such as Medical Image Analysis, Biomedical Signal Processing and Control, IEEE Transactions on Medical Imaging, Lecture notes in computer science and Human Immunology.
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.