Mong Li Lee

12.6k total citations · 2 hit papers
232 papers, 5.8k citations indexed

About

Mong Li Lee is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Mong Li Lee has authored 232 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 63 papers in Radiology, Nuclear Medicine and Imaging and 59 papers in Computer Networks and Communications. Recurrent topics in Mong Li Lee's work include Retinal Imaging and Analysis (61 papers), Data Management and Algorithms (56 papers) and Advanced Database Systems and Queries (53 papers). Mong Li Lee is often cited by papers focused on Retinal Imaging and Analysis (61 papers), Data Management and Algorithms (56 papers) and Advanced Database Systems and Queries (53 papers). Mong Li Lee collaborates with scholars based in Singapore, United States and China. Mong Li Lee's co-authors include Wynne Hsu, Tien Yin Wong, Gilbert Lim, Qiangfeng Peter Lau, Y. Li, Jie Jin Wang, Carol Y. Cheung, Tok Wang Ling, Paul Mitchell and Christopher A. Schuh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Bioinformatics.

In The Last Decade

Mong Li Lee

218 papers receiving 5.5k citations

Hit Papers

Artificial intelligence us... 2004 2026 2011 2018 2019 2004 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
    2019 227 citations Valentina Bellemo, Gilbert Lim et al. profile →
  2. Effect of a controlled volume fraction of dendritic phases on tensile and compressive ductility in La-based metallic glass matrix composites
    2004 213 citations Mong Li Lee et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mong Li Lee Singapore 39 2.5k 2.1k 1.2k 926 825 232 5.8k
Wynne Hsu Singapore 44 2.5k 1.0× 2.1k 1.0× 2.6k 2.1× 1.4k 1.5× 2.7k 3.3× 233 8.5k
Frans Coenen United Kingdom 32 809 0.3× 430 0.2× 1.4k 1.1× 1.0k 1.1× 866 1.0× 223 4.1k
Habib Hamam Canada 33 640 0.3× 272 0.1× 947 0.8× 1.0k 1.1× 694 0.8× 339 4.6k
Jane You Hong Kong 46 710 0.3× 357 0.2× 2.3k 1.9× 4.8k 5.1× 944 1.1× 243 7.7k
Xiaoming Liu China 37 798 0.3× 223 0.1× 995 0.8× 1.5k 1.6× 218 0.3× 324 4.3k
Dilbag Singh India 38 1.5k 0.6× 81 0.0× 1.6k 1.3× 1.6k 1.7× 517 0.6× 136 4.8k
Marios S. Pattichis United States 28 969 0.4× 478 0.2× 351 0.3× 1.6k 1.8× 46 0.1× 239 3.4k
Stratis Ioannidis United States 29 558 0.2× 263 0.1× 2.1k 1.7× 485 0.5× 365 0.4× 132 4.0k
Jing Tian China 32 476 0.2× 381 0.2× 507 0.4× 1.4k 1.5× 124 0.2× 245 3.5k
Yudong Yao United States 54 1.7k 0.7× 47 0.0× 3.0k 2.5× 1.2k 1.3× 181 0.2× 383 10.5k

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-authorship network of co-authors of Mong Li Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mong Li Lee. A scholar is included among the top collaborators of Mong Li Lee 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 Mong Li Lee. Mong Li Lee 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
1.
Hao, Fei, et al.. (2024). Faithful Logical Reasoning via Symbolic Chain-of-Thought. ResearchSpace (University of Auckland). 13326–13365. 10 indexed citations
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Jaidka, Kokil, Tsuhan Chen, Simon Chesterman, et al.. (2024). Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digital Government Research and Practice. 6(1). 1–15. 7 indexed citations
6.
Fei, Hao, Bobo Li, Shengqiong Wu, et al.. (2024). PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. ResearchSpace (University of Auckland). 7667–7676. 6 indexed citations
7.
Gunasekeran, Dinesh Visva, Steven Miller, Wynne Hsu, et al.. (2024). National Use of Artificial Intelligence for Eye Screening in Singapore. NEJM AI. 1(12). 2 indexed citations
8.
Cheung, Carol Y., Xiu Juan Zhang, Hei-Nga Chan, et al.. (2023). Influence of secondhand smoke exposure on the retinal vasculature of children in Hong Kong. SHILAP Revista de lepidopterología. 3(1). 155–155. 3 indexed citations
9.
Betzler, Bjorn Kaijun, Cynthia Ciwei Lim, Jinyi Ho, et al.. (2023). Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. Journal of the American Medical Informatics Association. 30(12). 1904–1914. 14 indexed citations
10.
Hsu, Wynne, et al.. (2022). Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach. Journal of the American Medical Informatics Association. 30(2). 273–281. 3 indexed citations
11.
Chan, Poemen P., M. Wong, Noel C. Y. Chan, et al.. (2022). Risk of Normal Tension Glaucoma Progression From Automated Baseline Retinal-Vessel Caliber Analysis: A Prospective Cohort Study. American Journal of Ophthalmology. 247. 111–120. 11 indexed citations
12.
Cheung, Carol Y., Saima Hilal, Bibek Gyanwali, et al.. (2022). Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia. Brain Communications. 4(4). fcac212–fcac212. 26 indexed citations
13.
Hsu, Wynne, et al.. (2021). Using Domain Knowledge and Data-Driven Insights for Patient Similarity Analytics. Journal of Personalized Medicine. 11(8). 699–699. 9 indexed citations
14.
Hsu, Wynne, et al.. (2021). Improving Evidence Retrieval for Automated Explainable Fact-Checking. 84–91. 12 indexed citations
15.
Yip, Michelle, Gilbert Lim, Valentina Bellemo, et al.. (2019). Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 60(9). 1438–1438. 1 indexed citations
16.
Hardjojo, Antony, Long Pang, Win Wah, et al.. (2018). Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore. JMIR Medical Informatics. 6(2). e36–e36. 10 indexed citations
17.
Lim, Gilbert, Mong Li Lee, Wynne Hsu, & Tien Yin Wong. (2014). Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening. National Conference on Artificial Intelligence. 28 indexed citations
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Zhang, Ji, Wynne Hsu, & Mong Li Lee. (2001). Image mining: issues, frameworks and techniques. University of Southern Queensland ePrints (University of Southern Queensland). 13–20. 43 indexed citations
20.
Ganti, Venkatesh, Mong Li Lee, & Raghu Ramakrishnan. (2000). ICICLES: Self-Tuning Samples for Approximate Query Answering. Very Large Data Bases. 176–187. 75 indexed citations

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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