Kinpui Chan

1.2k citations
16 papers · 881 indexed · h-index 10
Topics
Retinal Imaging and Analysis (8 papers)Optical Coherence Tomography Applications (8 papers)Retinal Diseases and Treatments (5 papers)

In The Last Decade

Kinpui Chan

16 papers receiving 855 citations

Peers

Kinpui Chan
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 457
  • Ophthalmology 420
  • Biomedical Engineering 410
  • Computer Vision and Pattern Recognition 213
  • Biophysics 80
Replace Adrián Colomer with:
Adrián Colomer Spain
Amin Katouzian Germany
Ryan P. McNabb United States
Radim Kolář Czechia
Mark J. J. P. van Grinsven Netherlands
Shaohua Xiang China
Saeed Kermani Iran
Manish D. Kulkarni United States
Cameron M. Lee United States
László G. Nyúl Hungary
Kinpui Chan relative to Adrián Colomer Spain Adrián Colomer's profile →
Citations per field
00.5×10×15×18.3×
Adrián Colomer · 1×
Citations per year

Countries citing papers authored by Kinpui Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kinpui Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinpui Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kinpui Chan. A scholar is included among the top collaborators of Kinpui Chan 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 Kinpui Chan. Kinpui Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 9
3 9
4
Deep-learning-based Projection Artifact Removal in Optical Coherence Tomography Angiography Volumes
2
5
Automated 3D Lamina Cribrosa Segmentation in Optical Coherence Tomography Volumetric Scans
1
6 28
7 15
8 41
9
Ultrahigh Speed Ophthalmic Surgical OCT for Intraoperative OCT Angiography and Widefield Imaging
1
10
Automated Segmentation of Retinal Layers in Macular OCT Images of Patients with Retinitis Pigmentosa
1
11 61
12 217
13 286
14 20
15 143
16 44

About Kinpui Chan

Kinpui Chan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 881 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Optical Coherence Tomography Applications (8 papers) and Retinal Diseases and Treatments (5 papers). The work is most often cited by research in Ophthalmology (420 citations), Radiology, Nuclear Medicine and Imaging (457 citations) and Biophysics (80 citations). Kinpui Chan has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Charles Reisman, Ali S. Raza, Shuichi Makita, Toyohiko Yatagai, Atsushi Morosawa, Masahiro Akïba, Yoshiaki Yasuno, Changho Chong, Violeta Madjarova and Mitsuru Itoh. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and Optics Express.

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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