Mina Rezaei
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 7
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- Generative Adversarial Networks and Image Synthesis 5
- Medical Image Segmentation Techniques 3
- Digital Media Forensic Detection 2
- Co-authors
- Christoph Meinel (5 shared papers)Haojin Yang (5 shared papers)Mohammad Valipour (1 shared paper)Daryoush Sanaei (2 shared papers)Mohammad Sarmadi (1 shared paper)Mostafa Dianatinasab (1 shared paper)Janne J. Näppi (5 shared papers)Hiroyuki Yoshida (3 shared papers)
- Journals
- Communications Biology (2 papers)Nature Communications (1 paper)Multimedia Tools and Applications (1 paper)Environmental Sciences Europe (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)
- Partner nations
- GermanyUnited StatesIran
In The Last Decade
Mina Rezaei
26 papers receiving 315 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 77
- Radiology, Nuclear Medicine and Imaging 66
- Health Informatics 4
- Neurology 22
- Health, Toxicology and Mutagenesis 36
Countries citing papers authored by Mina Rezaei
This map shows the geographic impact of Mina Rezaei'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 Mina Rezaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Rezaei more than expected).
Fields of papers citing papers by Mina Rezaei
This network shows the impact of papers produced by Mina Rezaei. 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 Mina Rezaei. The network helps show where Mina Rezaei may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Rezaei, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 70 | |
| 2 | 2021 | 52 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 24 | |
| 5 | 2020 | 21 | |
| 6 | 2011 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2025 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2019 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2023 | 1 |
About Mina Rezaei
Mina Rezaei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Environmental Engineering, having authored 27 papers that have together received 321 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), COVID-19 diagnosis using AI (5 papers), Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Bioinformatics (3 papers), Digital Media Forensic Detection (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (77 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Health Informatics (4 citations), Neurology (22 citations) and Health, Toxicology and Mutagenesis (36 citations). Mina Rezaei has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include Christoph Meinel, Haojin Yang, Mohammad Valipour, Daryoush Sanaei, Mohammad Sarmadi, Mostafa Dianatinasab, Janne J. Näppi, Hiroyuki Yoshida, Christoph Meinel and Christoph Lippert. Their work appears in journals such as Communications Biology, Nature Communications, Multimedia Tools and Applications, Environmental Sciences Europe and International Journal of Computer Assisted Radiology and Surgery.
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.