Gilbert Lim

4.3k total citations · 3 hit papers
33 papers, 1.4k citations indexed

About

Gilbert Lim is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Information Management. According to data from OpenAlex, Gilbert Lim has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Ophthalmology and 7 papers in Health Information Management. Recurrent topics in Gilbert Lim's work include Retinal Imaging and Analysis (27 papers), Retinal Diseases and Treatments (11 papers) and Retinal and Optic Conditions (8 papers). Gilbert Lim is often cited by papers focused on Retinal Imaging and Analysis (27 papers), Retinal Diseases and Treatments (11 papers) and Retinal and Optic Conditions (8 papers). Gilbert Lim collaborates with scholars based in Singapore, United States and United Kingdom. Gilbert Lim's co-authors include Daniel Shu Wei Ting, Mong Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Tien Yin Wong, Valentina Bellemo, Michael D. Abràmoff, Andrzej Grzybowski, Yuchen Xie and Piotr Brona and has published in prestigious journals such as Scientific Reports, IEEE Access and Investigative Ophthalmology & Visual Science.

In The Last Decade

Gilbert Lim

31 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Artificial intelligence for diabetic retinopathy screening: a review

2019 234 citations Andrzej Grzybowski, Piotr Brona et al. Eye profile →
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, Zhan Wei Lim et al. The Lancet Digital Health profile →
Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images

2024 50 citations Dulani Meedeniya, Gilbert Lim et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gilbert Lim Singapore	16	1.1k	854	239	202	156	33	1.4k
Warren Clarida United States	3	675 0.6×	533 0.6×	186 0.8×	99 0.5×	88 0.6×	4	781
Haslina Hamzah Singapore	14	937 0.8×	843 1.0×	69 0.3×	134 0.7×	81 0.5×	30	1.2k
Ramachandran Rajalakshmi India	19	971 0.9×	894 1.0×	86 0.4×	130 0.6×	47 0.3×	58	1.3k
An Ran Ran Hong Kong	16	684 0.6×	565 0.7×	101 0.4×	49 0.2×	101 0.6×	41	852
Yuchen Xie China	12	497 0.4×	358 0.4×	109 0.5×	93 0.5×	79 0.5×	26	748
Jane Scheetz Australia	13	659 0.6×	556 0.7×	64 0.3×	80 0.4×	80 0.5×	31	924
Valentina Bellemo Singapore	7	511 0.5×	399 0.5×	69 0.3×	112 0.6×	64 0.4×	13	635
Siamak Yousefi United States	22	1.7k 1.5×	1.7k 2.0×	205 0.9×	18 0.1×	75 0.5×	85	2.1k
Louis R. Pasquale United States	4	542 0.5×	455 0.5×	56 0.2×	36 0.2×	56 0.4×	4	753
Yifan He China	6	693 0.6×	610 0.7×	134 0.6×	40 0.2×	48 0.3×	12	774

Countries citing papers authored by Gilbert Lim

Since Specialization

Citations

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

Fields of papers citing papers by Gilbert Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Lim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Meedeniya, Dulani, et al.. (2025). Glaucoma identification with retinal fundus images using deep learning: Systematic review. Informatics in Medicine Unlocked. 56. 101644–101644. 3 indexed citations

Meedeniya, Dulani, et al.. (2024). Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images. IEEE Access. 12. 17290–17307. 50 indexed citations breakdown →

Elangovan, Kabilan, Gilbert Lim, & Daniel Shu Wei Ting. (2024). A comparative study of an on premise AutoML solution for medical image classification. Scientific Reports. 14(1). 10483–10483. 6 indexed citations

Lim, Gilbert, et al.. (2024). Vision language models in ophthalmology. Current Opinion in Ophthalmology. 35(6). 487–493. 1 indexed citations

Wang, Zhaoran, Gilbert Lim, Wei Yan Ng, et al.. (2023). Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration. Frontiers in Medicine. 10. 1184892–1184892. 9 indexed citations

Liu, Nan, Gilbert Lim, Daniel Shu Wei Ting, et al.. (2023). Application of a deep learning algorithm in the detection of hip fractures. iScience. 26(8). 107350–107350. 15 indexed citations

Yip, Michelle, Gilbert Lim, Zhan Wei Lim, et al.. (2020). Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. npj Digital Medicine. 3(1). 40–40. 31 indexed citations

Lim, Gilbert, et al.. (2020). Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review. Eye and Vision. 7(1). 21–21. 62 indexed citations

Xie, Yuchen, Quang D. Nguyen, Haslina Hamzah, et al.. (2020). Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study. The Lancet Digital Health. 2(5). e240–e249. 174 indexed citations

10.

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

11.

Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes. Investigative Ophthalmology & Visual Science. 60(9). 1439–1439. 1 indexed citations

12.

Grzybowski, Andrzej, Piotr Brona, Gilbert Lim, et al.. (2019). Correction to: Artificial intelligence for diabetic retinopathy screening: a review. Eye. 34(3). 604–604. 5 indexed citations

13.

Xie, Yuchen, Quang D. Nguyen, Valentina Bellemo, et al.. (2019). Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore. Investigative Ophthalmology & Visual Science. 60(9). 5471–5471. 8 indexed citations

14.

Ting, Daniel Shu Wei, Carol Y. Cheung, Quang D. Nguyen, et al.. (2019). Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. npj Digital Medicine. 2(1). 24–24. 61 indexed citations

15.

Bellemo, Valentina, Gilbert Lim, Tyler Hyungtaek Rim, et al.. (2019). Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application. Current Diabetes Reports. 19(9). 72–72. 118 indexed citations

16.

Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study. The Lancet Digital Health. 1(1). e35–e44. 227 indexed citations breakdown →

17.

Grzybowski, Andrzej, Piotr Brona, Gilbert Lim, et al.. (2019). Artificial intelligence for diabetic retinopathy screening: a review. Eye. 34(3). 451–460. 234 indexed citations breakdown →

18.

Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). Artificial Intelligence Using Deep Learning to Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa. SSRN Electronic Journal. 8 indexed citations

19.

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

20.

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

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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