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%
Papers in
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- Advanced Neural Network Applications 20
- Medical Image Segmentation Techniques 10
- Multimodal Machine Learning Applications 10
- Advanced Image and Video Retrieval Techniques 9
- Digital Imaging for Blood Diseases 8
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- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 9
- Co-authors
- Yu Qiao (22 shared papers)Zhongying Deng (12 shared papers)Yali Wang (2 shared papers)Lei Zhou (1 shared paper)Jin Ye (3 shared papers)Lixu Gu (10 shared papers)Xiaojiang Peng (1 shared paper)Wenhao Wu (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (4 papers)IEEE Transactions on Medical Imaging (3 papers)IEEE Transactions on Multimedia (2 papers)Human Immunology (2 papers)Medical Image Analysis (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junjun He
86 papers receiving 1.7k citations
Junjun He's Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 956
- Ophthalmology 160
- Radiology, Nuclear Medicine and Imaging 397
- Artificial Intelligence 535
- Media Technology 138
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 94 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 | 314 |
| 2 | 2019 | 232 | |
| 3 | 2020 | 146 | |
| 4 | 2023 | 80 | |
| 5 | 2020 | 66 | |
| 6 | 2021 | 65 | |
| 7 | 2020 | 53 | |
| 8 | 2020 | 50 | |
| 9 | 2021 | 45 | |
| 10 | 2022 | 39 | |
| 11 | 2023 | 38 | |
| 12 | 2020 | 37 | |
| 13 | 2024 | 35 | |
| 14 | 2023 | 34 | |
| 15 | 2020 | 25 | |
| 16 | 2021 | 21 | |
| 17 | 2025 | 20 | |
| 18 | 2024 | 20 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 17 |
About Junjun He
Junjun He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Molecular Biology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (14 papers), Medical Image Segmentation Techniques (10 papers), Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), COVID-19 diagnosis using AI (9 papers) and Digital Imaging for Blood Diseases (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (956 citations), Ophthalmology (160 citations), Radiology, Nuclear Medicine and Imaging (397 citations), Artificial Intelligence (535 citations) and Media Technology (138 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, Lixu Gu, Xiaojiang Peng, Wenhao Wu, Cheng Li and Hongsheng Li. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Transactions on Medical Imaging, IEEE Transactions on Multimedia, Human Immunology and Medical Image Analysis.
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.