Muhammad Mateen
Impact in
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Artificial Intelligence in Healthcare
Papers in
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- Digital Imaging for Blood Diseases 3
- Generative Adversarial Networks and Image Synthesis 2
- Face recognition and analysis 2
- Advanced Image Processing Techniques 2
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- Retinal Imaging and Analysis 7
- Co-authors
- Nasrullah Nasrullah (5 shared papers)Junhao Wen (10 shared papers)Song Sun (8 shared papers)Jun Sang (2 shared papers)Shaukat Hayat (8 shared papers)Haibo Hu (1 shared paper)Mohammad S. Alam (1 shared paper)Bin Cai (1 shared paper)
In The Last Decade
Muhammad Mateen
19 papers receiving 1.0k citations
Muhammad Mateen's Hit Papers
Peers
Comparison fields: 5 of 125
- Radiology, Nuclear Medicine and Imaging 472
- Health Information Management 98
- Ophthalmology 164
- Computer Vision and Pattern Recognition 264
- Health Informatics 14
Countries citing papers authored by Muhammad Mateen
This map shows the geographic impact of Muhammad Mateen'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 Muhammad Mateen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mateen more than expected).
Fields of papers citing papers by Muhammad Mateen
This network shows the impact of papers produced by Muhammad Mateen. 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 Muhammad Mateen. The network helps show where Muhammad Mateen may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Mateen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fundus Image Classification Using VGG-19 Architecture with PCA and SVD Hit paper breakdown → | 2018 | 452 |
| 2 | Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies Hit paper breakdown → | 2019 | 242 |
| 3 | 2020 | 83 | |
| 4 | 2020 | 80 | |
| 5 | 2023 | 61 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 0 |
About Muhammad Mateen
Muhammad Mateen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems, Ophthalmology and Computer Networks and Communications, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (4 papers), Digital Imaging for Blood Diseases (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Face recognition and analysis (2 papers), Software Engineering Research (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (472 citations), Health Information Management (98 citations), Ophthalmology (164 citations), Computer Vision and Pattern Recognition (264 citations) and Health Informatics (14 citations). Muhammad Mateen has collaborated with scholars based in China, Pakistan and Canada. Frequent co-authors include Nasrullah Nasrullah, Junhao Wen, Song Sun, Jun Sang, Shaukat Hayat, Haibo Hu, Mohammad S. Alam, Bin Cai, Mehdi Hassan and Yeong Hyeon Gu. Their work appears in journals such as Frontiers of Computer Science, IEEE Access, Sensors, Medical Physics and Multimedia Tools and Applications.
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.