Mong Li Lee

218 papers receiving 5.5k citations

Mong Li Lee's Hit Papers

Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study 2019 · 227 citations
2270+7+14Years since publication50100150200

Peers

Mong Li Lee
Comparison fields: 5 of 174
  • Ophthalmology 2.1k
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Health Informatics 133
  • Signal Processing 748
  • Health Information Management 282
Replace Wynne Hsu with:
Wynne Hsu Singapore
Habib Hamam Canada
Yudong Yao United States
Marios S. Pattichis United States
Stratis Ioannidis United States
Xiaoming Liu China
Dilbag Singh India
Ping Chen China
Jane You Hong Kong
Jinman Kim Australia
Mong Li Lee relative to Wynne Hsu Singapore Wynne Hsu's profile →
Citations per field
00.5×1.5×
Wynne Hsu · 1×
Citations per year

Countries citing papers authored by Mong Li Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mong Li Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
Hit paper breakdown →
2019227
2
Effect of a controlled volume fraction of dendritic phases on tensile and compressive ductility in La-based metallic glass matrix composites
Hit paper breakdown →
2004213
3 2010211
4 2011189
5 2008175
6 2020174
7 2008168
8 2002153
9 2020152
10 2002137
11 2019118
12 2010114
13 2004108
14 2010107
15 2002105
16 2008102
17 201095
18 200590
19 200588
20 201288

About Mong Li Lee

Mong Li Lee is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Signal Processing and Information Systems, having authored 232 papers that have together received 5.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (61 papers), Data Management and Algorithms (56 papers), Advanced Database Systems and Queries (53 papers), Data Mining Algorithms and Applications (31 papers), Semantic Web and Ontologies (28 papers), Retinal Diseases and Treatments (27 papers), Glaucoma and retinal disorders (18 papers) and Retinal and Optic Conditions (17 papers). The work is most often cited by research in Ophthalmology (2.1k citations), Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (133 citations), Signal Processing (748 citations) and Health Information Management (282 citations). Mong Li Lee has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Wynne Hsu, Tien Yin Wong, Gilbert Lim, Y. Li, Qiangfeng Peter Lau, Jie Jin Wang, Carol Y. Cheung, Christopher A. Schuh, Paul Mitchell and Tok Wang Ling. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Scientific Reports, npj Digital Medicine, Journal of Intelligent Information Systems and The Lancet Digital Health.

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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