Fayyaz Minhas
- Health Informatics top 5%
- Biophysics top 2%
- Cell Image Analysis Techniques 11
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- Radiomics and Machine Learning in Medical Imaging 17
- Artificial Intelligence top 2%
- AI in cancer detection 33
- Microbiology top 5%
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- Machine Learning in Bioinformatics 11
- Protein Structure and Dynamics 7
- Gene expression and cancer classification 5
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- Digital Imaging for Blood Diseases 6
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- Colorectal Cancer Screening and Detection 6
- Co-authors
- Nasir RajpootAmina AsifAsa Ben‐HurSimon GrahamMuhammad ArifShan E Ahmed RazaDavid SneadMohsin Bilal
- Partner nations
- United KingdomPakistanUnited States
In The Last Decade
Fayyaz Minhas
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Health Informatics 43
- Biophysics 117
- Radiology, Nuclear Medicine and Imaging 419
- Artificial Intelligence 536
- Microbiology 71
Countries citing papers authored by Fayyaz Minhas
This map shows the geographic impact of Fayyaz Minhas'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 Fayyaz Minhas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fayyaz Minhas more than expected).
Fields of papers citing papers by Fayyaz Minhas
This network shows the impact of papers produced by Fayyaz Minhas. 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 Fayyaz Minhas. The network helps show where Fayyaz Minhas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fayyaz Minhas, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 52 | |
| 13 | 2022 | 0 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 75 | |
| 17 | 2020 | 38 | |
| 18 | 2019 | 62 | |
| 19 | A generalized meta-loss function for distillation and learning using privileged information for classification and regression | 2018 | 1 |
| 20 | 2008 | 74 |
About Fayyaz Minhas
Fayyaz Minhas is a scholar working on Biophysics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (33 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Machine Learning in Bioinformatics (11 papers), Cell Image Analysis Techniques (11 papers), Protein Structure and Dynamics (7 papers), Digital Imaging for Blood Diseases (6 papers), Colorectal Cancer Screening and Detection (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Health Informatics (43 citations), Biophysics (117 citations) and Radiology, Nuclear Medicine and Imaging (419 citations). Fayyaz Minhas has collaborated with scholars based in United Kingdom, Pakistan and United States. Frequent co-authors include Nasir Rajpoot, Amina Asif, Asa Ben‐Hur, Simon Graham, Muhammad Arif, Shan E Ahmed Raza, David Snead, Mohsin Bilal, Wajid Arshad Abbasi and Wenqi Lu. Their work appears in journals such as Medical Image Analysis, Bioinformatics, Modern Pathology, npj Precision Oncology and Computers in Biology and Medicine.
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.