Fengshou Yin

27 papers receiving 962 citations

Hit Papers

Superpixel Classification Based Optic Disc and Optic Cup ...20132026201720212013100200300400

Peers

Fengshou Yin
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 965
  • Ophthalmology 855
  • Computer Vision and Pattern Recognition 543
  • Biomedical Engineering 85
  • Artificial Intelligence 50
Replace Attila Budai with:
Attila Budai Germany
Jan Odstrčilík Czechia
Gopal Datt Joshi India
Ngan-Meng Tan Singapore
Fedra Hajizadeh Iran
Rüdiger Bock Germany
Ngan Meng Tan Singapore
Francisco Fumero Spain
Helen Cook United Kingdom
A. Krishna Rao India
Fengshou Yin relative to Attila Budai Germany Attila Budai's profile →
Citations per field
00.5×1.5×
Attila Budai · 1×
Citations per year

Countries citing papers authored by Fengshou Yin

Since Specialization
Citations

This map shows the geographic impact of Fengshou Yin'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 Fengshou Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengshou Yin more than expected).

Fields of papers citing papers by Fengshou Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengshou Yin. 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 Fengshou Yin. The network helps show where Fengshou Yin may publish in the future.

Co-authorship network of co-authors of Fengshou Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Fengshou Yin. A scholar is included among the top collaborators of Fengshou Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengshou Yin. Fengshou Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 4
3 72
4 0
5 15
6 20
7 24
8
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screeningbreakdown →
432
9 5
10 9
11 14
12 14
13 5
14 3
15 72
16 9
17 70
18
AGLAIA system architecture for Glaucoma Diagnosis
3
19 15
20 47

About Fengshou Yin

Fengshou Yin is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (25 papers), Glaucoma and retinal disorders (24 papers) and Retinal Diseases and Treatments (16 papers). The work is most often cited by research in Ophthalmology (855 citations), Radiology, Nuclear Medicine and Imaging (965 citations) and Computer Vision and Pattern Recognition (543 citations). Fengshou Yin has collaborated with scholars based in Singapore, Australia and South Korea. Frequent co-authors include Damon Wing Kee Wong, Jiang Liu, Tien Yin Wong, Jun Cheng, Tin Aung, Dacheng Tao, Yanwu Xu, Ching‐Yu Cheng, Ngan-Meng Tan and Carol Y. Cheung. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Neurocomputing.

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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