Jun Cheng
Impact in
- Ophthalmology top 0.2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in
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- Retinal Imaging and Analysis 69
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- Digital Imaging for Blood Diseases 18
- Advanced Vision and Imaging 14
- Medical Image Segmentation Techniques 10
- Co-authors
- Jiang Liu (68 shared papers)Damon Wing Kee Wong (48 shared papers)Tien Yin Wong (19 shared papers)Dacheng Tao (10 shared papers)Fengshou Yin (13 shared papers)Huazhu Fu (12 shared papers)Tin Aung (11 shared papers)Yitian Zhao (13 shared papers)
In The Last Decade
Jun Cheng
150 papers receiving 3.2k citations
Jun Cheng's Hit Papers
Peers
Comparison fields: 5 of 130
- Ophthalmology 1.4k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Computer Vision and Pattern Recognition 1.5k
- Geology 159
- Media Technology 167
Countries citing papers authored by Jun Cheng
This map shows the geographic impact of Jun Cheng'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 Jun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).
Fields of papers citing papers by Jun Cheng
This network shows the impact of papers produced by Jun Cheng. 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 Jun Cheng. The network helps show where Jun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cheng, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening Hit paper breakdown → | 2013 | 434 |
| 2 | 2010 | 259 | |
| 3 | CS Hit paper breakdown → | 2020 | 249 |
| 4 | 2021 | 125 | |
| 5 | 2019 | 113 | |
| 6 | 2015 | 111 | |
| 7 | 2019 | 93 | |
| 8 | 2015 | 72 | |
| 9 | 2011 | 70 | |
| 10 | 2015 | 67 | |
| 11 | 2011 | 64 | |
| 12 | 2016 | 62 | |
| 13 | 2019 | 61 | |
| 14 | 2016 | 60 | |
| 15 | 2018 | 59 | |
| 16 | 2020 | 50 | |
| 17 | 2011 | 50 | |
| 18 | 2018 | 49 | |
| 19 | 2017 | 48 | |
| 20 | 2021 | 45 |
About Jun Cheng
Jun Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Biomedical Engineering and Media Technology, having authored 163 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (69 papers), Glaucoma and retinal disorders (37 papers), Optical Coherence Tomography Applications (30 papers), Digital Imaging for Blood Diseases (18 papers), Advanced Vision and Imaging (14 papers), Retinal Diseases and Treatments (13 papers), Image Processing Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (10 papers). The work is most often cited by research in Ophthalmology (1.4k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Computer Vision and Pattern Recognition (1.5k citations), Geology (159 citations) and Media Technology (167 citations). Jun Cheng has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Jiang Liu, Damon Wing Kee Wong, Tien Yin Wong, Dacheng Tao, Fengshou Yin, Huazhu Fu, Tin Aung, Yitian Zhao, Yanwu Xu and Zaiwang Gu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Medical Imaging, Biomedical Optics Express, IEEE Transactions on Biomedical Engineering and Signal Processing.
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.