Jun Cheng

5.7k citations
160 papers · 3.3k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Jun Cheng

150 papers receiving 3.1k citations

Hit Papers

CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging 2020 · 240 citations
2402013202620172021100200300400

Peers

Jun Cheng
Comparison fields: 5 of 137
  • Ophthalmology 1.5k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Computer Vision and Pattern Recognition 1.5k
  • Geology 156
  • Media Technology 164
Replace Xin Yang with:
Xin Yang China
Désiré Sidibé France
Jayanthi Sivaswamy India
Beiji Zou China
Naoufel Werghi United Arab Emirates
Aurélio Campilho Portugal
Jian Yang China
Bin Sheng China
Mathias Unberath United States
Lei Zhu China
Jun Cheng relative to Xin Yang China Xin Yang's profile →
Citations per field
00.5×3.5×
Xin Yang · 1×
Citations per year

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Cheng Line = papers co-authored together Jun Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 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 →
2013432
2 2010252
3
CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging
Hit paper breakdown →
2020240
4 2021116
5 2015110
6 2019108
7 201988
8 201572
9 201170
10 201567
11 201163
12 201662
13 201659
14 201859
15 201958
16 202050
17 201150
18 201849
19 201748
20 202143

About Jun Cheng

Jun Cheng is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 160 papers that have together received 3.3k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (72 papers), Glaucoma and retinal disorders (42 papers), Optical Coherence Tomography Applications (29 papers), Retinal Diseases and Treatments (18 papers), Digital Imaging for Blood Diseases (18 papers), Advanced Vision and Imaging (14 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 (1.5k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Computer Vision and Pattern Recognition (1.5k citations), Geology (156 citations) and Media Technology (164 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, Tin Aung, Huazhu Fu, Yanwu Xu, Yitian Zhao and Zaiwang Gu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Neurocomputing, Biomedical Optics Express, IEEE Transactions on Image Processing and Journal of Applied Physics.

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.

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