Minhaj Nur Alam

1.3k total citations
42 papers, 817 citations indexed

About

Minhaj Nur Alam is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minhaj Nur Alam has authored 42 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Ophthalmology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minhaj Nur Alam's work include Retinal Imaging and Analysis (36 papers), Retinal Diseases and Treatments (26 papers) and Retinal and Optic Conditions (13 papers). Minhaj Nur Alam is often cited by papers focused on Retinal Imaging and Analysis (36 papers), Retinal Diseases and Treatments (26 papers) and Retinal and Optic Conditions (13 papers). Minhaj Nur Alam collaborates with scholars based in United States, Türkiye and Russia. Minhaj Nur Alam's co-authors include Xincheng Yao, Jennifer I. Lim, David Le, Devrım Toslak, R.V. Paul Chan, Taeyoon Son, Dingcai Cao, Damber Thapa, Yue Zhang and Yi‐Ting Hsieh and has published in prestigious journals such as Scientific Reports, Optics Letters and Investigative Ophthalmology & Visual Science.

In The Last Decade

Minhaj Nur Alam

41 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minhaj Nur Alam United States 17 669 599 198 74 51 42 817
Morgan Heisler Canada 17 713 1.1× 681 1.1× 314 1.6× 83 1.1× 38 0.7× 36 908
Zaid Mammo Canada 15 610 0.9× 700 1.2× 190 1.0× 45 0.6× 63 1.2× 39 868
Hagar Khalid United Kingdom 12 528 0.8× 518 0.9× 48 0.2× 41 0.6× 38 0.7× 37 688
Francisco A. Folgar United States 13 830 1.2× 851 1.4× 148 0.7× 82 1.1× 123 2.4× 24 988
Emily D. Cole United States 15 724 1.1× 826 1.4× 185 0.9× 17 0.2× 50 1.0× 24 942
Jianqin Lei China 20 1.2k 1.8× 1.3k 2.1× 244 1.2× 46 0.6× 133 2.6× 42 1.5k
Andrew Merkur Canada 18 722 1.1× 908 1.5× 176 0.9× 34 0.5× 95 1.9× 34 1.0k
Ying Fang China 13 266 0.4× 171 0.3× 60 0.3× 116 1.6× 25 0.5× 54 487
Paul Chew Singapore 22 780 1.2× 966 1.6× 108 0.5× 27 0.4× 51 1.0× 42 1.2k
Pascal W. Hasler Switzerland 16 645 1.0× 986 1.6× 122 0.6× 31 0.4× 134 2.6× 59 1.2k

Countries citing papers authored by Minhaj Nur Alam

Since Specialization
Citations

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

Fields of papers citing papers by Minhaj Nur Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minhaj Nur Alam. 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 Minhaj Nur Alam. The network helps show where Minhaj Nur Alam may publish in the future.

Co-authorship network of co-authors of Minhaj Nur Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Minhaj Nur Alam. A scholar is included among the top collaborators of Minhaj Nur Alam 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 Minhaj Nur Alam. Minhaj Nur Alam 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.
Thompson, Atalie C., et al.. (2025). Distributed training of foundation models for ophthalmic diagnosis. Communications Engineering. 4(1). 6–6. 1 indexed citations
2.
Leng, Theodore, et al.. (2025). EYE-Llama, an in-domain large language model for ophthalmology. iScience. 28(7). 112984–112984. 3 indexed citations
3.
Lim, Jennifer I., et al.. (2024). Artificial intelligence for retinal diseases. Asia-Pacific Journal of Ophthalmology. 13(4). 100096–100096. 10 indexed citations
4.
Thompson, Atalie C., et al.. (2024). Quantitative characterization of retinal features in translated OCTA. Experimental Biology and Medicine. 249. 10333–10333. 1 indexed citations
5.
Lim, Jennifer I., et al.. (2023). Federated learning for diagnosis of age-related macular degeneration. Frontiers in Medicine. 10. 1259017–1259017. 16 indexed citations
6.
Alam, Minhaj Nur, et al.. (2023). Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy. Journal of Clinical Medicine. 12(1). 385–385. 12 indexed citations
7.
Alam, Minhaj Nur, Rikiya Yamashita, Jennifer I. Lim, et al.. (2023). Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. Scientific Reports. 13(1). 6047–6047. 7 indexed citations
8.
Yamashita, Rikiya, Minhaj Nur Alam, Alfiia Galimzianova, et al.. (2022). Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images. Radiology Artificial Intelligence. 4(3). e210174–e210174. 11 indexed citations
9.
Sethi, Abhishek, Maximilian Pfau, R.V. Paul Chan, et al.. (2022). Automated Region of Interest Selection Improves Deep Learning-Based Segmentation of Hyper-Reflective Foci in Optical Coherence Tomography Images. Journal of Clinical Medicine. 11(24). 7404–7404. 5 indexed citations
10.
Alam, Minhaj Nur, et al.. (2021). Deep learning based binary image quality algorithm for low-cost fundus imaging system in remote care settings. Investigative Ophthalmology & Visual Science. 62(8). 100–100. 1 indexed citations
11.
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
12.
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
13.
Alam, Minhaj Nur, Devrım Toslak, Jennifer I. Lim, & Xincheng Yao. (2019). OCT feature analysis guided artery-vein differentiation in OCTA. Biomedical Optics Express. 10(4). 2055–2055. 28 indexed citations
14.
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
15.
Zahid, Sarwar, Minhaj Nur Alam, Xincheng Yao, & Jennifer I. Lim. (2018). Quantitative Optical Coherence Tomography Angiography Parameters in Central Retinal Vein Occlusion. Investigative Ophthalmology & Visual Science. 59(9). 5427–5427. 2 indexed citations
16.
Alam, Minhaj Nur, Yue Zhang, Jennifer I. Lim, et al.. (2018). Quantitative OCT angiography for computer-aided classification of diabetic retinopathy. Investigative Ophthalmology & Visual Science. 59(9). 1224–1224. 2 indexed citations
17.
Wang, Benquan, Devrım Toslak, Minhaj Nur Alam, R.V. Paul Chan, & Xincheng Yao. (2018). Contact-free trans-pars-planar illumination enables snapshot fundus camera for nonmydriatic wide field photography. Scientific Reports. 8(1). 8768–8768. 22 indexed citations
18.
Chen, Judy L., Sarwar Zahid, Minhaj Nur Alam, Xincheng Yao, & Jennifer I. Lim. (2018). Assessment of Quantitative Optical Coherence Tomography Angiography Parameters in Branch Retinal Vein Occlusion and Monitoring Response to Treatment. Investigative Ophthalmology & Visual Science. 59(9). 5458–5458. 2 indexed citations
19.
Alam, Minhaj Nur, Damber Thapa, Jennifer I. Lim, Dingcai Cao, & Xincheng Yao. (2017). Automatic classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography. Investigative Ophthalmology & Visual Science. 58(8). 1679–1679. 1 indexed citations
20.
Alam, Minhaj Nur, Damber Thapa, Jennifer I. Lim, Dingcai Cao, & Xincheng Yao. (2017). Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography. Biomedical Optics Express. 8(9). 4206–4206. 40 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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