Shu Yen Lee

4.8k citations
63 papers · 1.6k indexed · h-index 26

Shu Yen Lee

60 papers receiving 1.6k citations

Peers

Shu Yen Lee
Comparison fields: 5 of 69
  • Ophthalmology 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Neurology 120
  • Epidemiology 180
  • Health Informatics 6
Replace Giovanni Cennamo with:
Giovanni Cennamo Italy
Ian Yeo Singapore
Mohsen Azarmina Iran
Abdullah Özkaya Türkiye
Roberto M. Vessani Brazil
Kara-Anne Tan Singapore
Wilson J. Heriot Australia
Florian Alten Germany
Vinay Shah United States
Paul Harasymowycz Canada
Shu Yen Lee relative to Giovanni Cennamo Italy Giovanni Cennamo's profile →
Citations per field
00.5×3.2×
Giovanni Cennamo · 1×
Citations per year

Countries citing papers authored by Shu Yen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Yen Lee. 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 Shu Yen Lee. The network helps show where Shu Yen Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shu Yen Lee, 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 Shu Yen Lee Line = papers co-authored together Shu Yen Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202411
2 20242
3 20232
4 20227
5 202238
6
A review of retinal complications after globe penetration from peribulbar anesthesia
20212
7 20210
8 202122
9 202114
10 20214
11 202016
12
Curvature Differences in Myopic Eyes With and Without Staphyloma using OCT
20193
13
Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs
201910
14 20184
15 201712
16 20166
17 201521
18 201552
19 201546
20 20132

About Shu Yen Lee

Shu Yen Lee is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (41 papers), Retinal Imaging and Analysis (31 papers), Glaucoma and retinal disorders (27 papers), Retinal and Macular Surgery (16 papers), Intraocular Surgery and Lenses (14 papers), Retinal and Optic Conditions (12 papers), Ophthalmology and Visual Impairment Studies (8 papers) and Retinal Development and Disorders (5 papers). The work is most often cited by research in Ophthalmology (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Neurology (120 citations). Shu Yen Lee has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Chui Ming Gemmy Cheung, Tien Yin Wong, Ian Yeo, Chee Wai Wong, Damon Wing Kee Wong, Choi Mun Chan, Ranjana Mathur, Yasuo Yanagi, Gavin Siew Wei Tan and Daniel Shu Wei Ting. Their work appears in journals such as PLoS ONE, Scientific Reports and Ophthalmology.

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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