David Le

1.3k total citations
40 papers, 736 citations indexed

About

David Le is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, David Le has authored 40 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Ophthalmology and 12 papers in Biomedical Engineering. Recurrent topics in David Le's work include Retinal Imaging and Analysis (27 papers), Retinal Diseases and Treatments (23 papers) and Glaucoma and retinal disorders (12 papers). David Le is often cited by papers focused on Retinal Imaging and Analysis (27 papers), Retinal Diseases and Treatments (23 papers) and Glaucoma and retinal disorders (12 papers). David Le collaborates with scholars based in United States, Taiwan and Türkiye. David Le's co-authors include Xincheng Yao, Minhaj Nur Alam, Jennifer I. Lim, Taeyoon Son, R.V. Paul Chan, Melissa Goggin, Devrım Toslak, Gregory C. Janis, Yi‐Ting Hsieh and Ashok Mulchandani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

David Le

38 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Le United States 16 439 388 210 87 50 40 736
Xulin Zhang China 13 70 0.2× 76 0.2× 57 0.3× 160 1.8× 21 0.4× 32 539
Menglu Chen China 15 155 0.4× 129 0.3× 39 0.2× 192 2.2× 53 1.1× 29 642
Rongrong Le China 11 206 0.5× 239 0.6× 29 0.1× 78 0.9× 67 1.3× 23 439
Ji Shao China 10 109 0.2× 85 0.2× 33 0.2× 30 0.3× 3 0.1× 36 334
Yan Huo China 20 107 0.2× 20 0.1× 25 0.1× 139 1.6× 15 0.3× 87 1.3k
Xuanxuan Zhang China 10 65 0.1× 7 0.0× 94 0.4× 79 0.9× 12 0.2× 38 355
Nafiseh Sargheini Germany 6 71 0.2× 90 0.2× 12 0.1× 66 0.8× 17 0.3× 9 275
Lifei Wang China 13 120 0.3× 36 0.1× 12 0.1× 100 1.1× 52 1.0× 48 422
Xueying Gao China 15 41 0.1× 44 0.1× 26 0.1× 203 2.3× 7 0.1× 53 768
Jangwoen Lee United States 15 181 0.4× 6 0.0× 175 0.8× 101 1.2× 14 0.3× 36 558

Countries citing papers authored by David Le

Since Specialization
Citations

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

Fields of papers citing papers by David Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Le

This figure shows the co-authorship network connecting the top 25 collaborators of David Le. A scholar is included among the top collaborators of David Le 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 David Le. David Le 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.
Le, David, et al.. (2024). Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy. Biomedical Optics Express. 15(6). 3889–3889. 6 indexed citations
2.
Le, Michael H., David Le, Hansen Dang, et al.. (2024). Global incidence of adverse clinical events in non-alcoholic fatty liver disease: A systematic review and meta-analysis. Clinical and Molecular Hepatology. 30(2). 235–246. 34 indexed citations
3.
Le, David, et al.. (2024). OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography. Biomedical Optics Express. 15(10). 6010–6010. 4 indexed citations
4.
Le, David, et al.. (2024). Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 65(10). 20–20. 8 indexed citations
5.
Le, David, et al.. (2023). Portable widefield fundus camera with high dynamic range imaging capability. Biomedical Optics Express. 14(2). 906–906. 13 indexed citations
6.
Son, Taeyoon, Devrım Toslak, David Le, et al.. (2023). Evaluating spatial dependency of the spectral efficiency in trans-palpebral illumination for widefield fundus photography. Biomedical Optics Express. 14(11). 5629–5629. 5 indexed citations
7.
8.
Le, David, et al.. (2023). An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography. SHILAP Revista de lepidopterología. 3(1). 54–54. 12 indexed citations
9.
10.
Le, David, Alaa Abd‐Elsayed, Elyse M. Cornett, et al.. (2023). Brivaracetam to Treat Partial Onset Seizures in Adults . Health psychology research. 10(5). 1–1. 4 indexed citations
11.
Le, David, et al.. (2023). Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy. Translational Vision Science & Technology. 12(4). 3–3. 16 indexed citations
12.
Le, David, et al.. (2023). Optimizing the OCTA layer fusion option for deep learning classification of diabetic retinopathy. Biomedical Optics Express. 14(9). 4713–4713. 22 indexed citations
13.
Le, David, et al.. (2022). ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography. Frontiers in Medicine. 9. 864879–864879. 11 indexed citations
14.
Alam, Minhaj Nur, David Le, & Xincheng Yao. (2020). Differential artery-vein analysis in quantitative retinal imaging: a review. Quantitative Imaging in Medicine and Surgery. 11(3). 1102–1119. 9 indexed citations
15.
Alam, Minhaj Nur, David Le, Taeyoon Son, Jennifer I. Lim, & Xincheng Yao. (2020). AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography. Biomedical Optics Express. 11(9). 5249–5249. 46 indexed citations
16.
Lu, Yiming, Taeyoon Son, Tae‐Hoon Kim, David Le, & Xincheng Yao. (2020). Virtually structured detection enables super-resolution ophthalmoscopy of rod and cone photoreceptors in human retina. Quantitative Imaging in Medicine and Surgery. 11(3). 1060–1069. 6 indexed citations
17.
Kim, Tae-Hoon, Taeyoon Son, David Le, & Xincheng Yao. (2019). Longitudinal OCT and OCTA monitoring reveals accelerated regression of hyaloid vessels in retinal degeneration 10 (rd10) mice. Scientific Reports. 9(1). 16685–16685. 14 indexed citations
18.
Le, David, et al.. (2019). Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy. Biomedical Optics Express. 10(5). 2493–2493. 17 indexed citations
19.
Le, David, Melissa Goggin, & Gregory C. Janis. (2012). Analysis of Mitragynine and Metabolites in Human Urine for Detecting the Use of the Psychoactive Plant Kratom. Journal of Analytical Toxicology. 36(9). 616–625. 50 indexed citations
20.
Wu, Cindy H., David Le, Ashok Mulchandani, & Wilfred Chen. (2009). Optimization of a whole‐cell cadmium sensor with a toggle gene circuit. Biotechnology Progress. 25(3). 898–903. 47 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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