Riaz Ali
Impact in
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- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
Papers in
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- Digital Imaging for Blood Diseases 2
- Advanced Image Processing Techniques 2
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- COVID-19 diagnosis using AI 3
- Co-authors
- Ping Li (4 shared papers)C. L. Philip Chen (3 shared papers)Bin Sheng (3 shared papers)Yao Shen (3 shared papers)Jian Chen (1 shared paper)Yan Chen (1 shared paper)Younhyun Jung (2 shared papers)Bin Sheng (1 shared paper)
In The Last Decade
Riaz Ali
20 papers receiving 306 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 136
- Radiology, Nuclear Medicine and Imaging 84
- Artificial Intelligence 111
- Media Technology 27
- Ophthalmology 27
Countries citing papers authored by Riaz Ali
This map shows the geographic impact of Riaz Ali'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 Riaz Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riaz Ali more than expected).
Fields of papers citing papers by Riaz Ali
This network shows the impact of papers produced by Riaz Ali. 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 Riaz Ali. The network helps show where Riaz Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Riaz Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2020 | 60 | |
| 3 | 2021 | 57 | |
| 4 | 2021 | 33 | |
| 5 | 2018 | 30 | |
| 6 | 2025 | 10 | |
| 7 | 2025 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2017 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2021 | 1 |
About Riaz Ali
Riaz Ali is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials, Artificial Intelligence and Electrical and Electronic Engineering, having authored 20 papers that have together received 313 indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (5 papers), COVID-19 diagnosis using AI (3 papers), Antenna Design and Analysis (3 papers), Thermal Radiation and Cooling Technologies (2 papers), Advanced Antenna and Metasurface Technologies (2 papers), IoT and Edge/Fog Computing (2 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Artificial Intelligence (111 citations), Media Technology (27 citations) and Ophthalmology (27 citations). Riaz Ali has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Ping Li, C. L. Philip Chen, Bin Sheng, Yao Shen, Jian Chen, Yan Chen, Younhyun Jung, Bin Sheng, Huating Li and Jinman Kim. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Image Processing, Solar Energy, Chinese Optics Letters and Journal of Applied Physics.
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.