Mina Rezaei

1.2k total citations
25 papers, 305 citations indexed

About

Mina Rezaei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mina Rezaei has authored 25 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mina Rezaei's work include AI in cancer detection (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and COVID-19 diagnosis using AI (5 papers). Mina Rezaei is often cited by papers focused on AI in cancer detection (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and COVID-19 diagnosis using AI (5 papers). Mina Rezaei collaborates with scholars based in Germany, United States and Iran. Mina Rezaei's co-authors include Haojin Yang, Christoph Meinel, Mohammad Valipour, Daryoush Sanaei, Mostafa Dianatinasab, Mohammad Sarmadi, Hiroyuki Yoshida, Janne J. Näppi, Christoph Lippert and Christoph Meinel and has published in prestigious journals such as Nature Communications, Scientific Reports and Computer Vision and Image Understanding.

In The Last Decade

Mina Rezaei

23 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mina Rezaei Germany 9 83 78 65 44 36 25 305
Paramate Horkaew Thailand 11 50 0.6× 80 1.0× 30 0.5× 117 2.7× 7 0.2× 48 367
Tahir Hussain Japan 8 55 0.7× 65 0.8× 35 0.5× 43 1.0× 3 0.1× 14 267
Dalal AL-Alimi China 13 60 0.7× 75 1.0× 75 1.2× 10 0.2× 4 0.1× 22 405
Seyed Matin Malakouti Iran 11 174 2.1× 50 0.6× 12 0.2× 27 0.6× 10 0.3× 23 477
G. Arulkumaran India 7 56 0.7× 19 0.2× 21 0.3× 24 0.5× 50 1.4× 16 253
Xiaoran Chen China 10 74 0.9× 91 1.2× 38 0.6× 21 0.5× 6 0.2× 54 362
Antonio J. Tallón‐Ballesteros Spain 9 112 1.3× 23 0.3× 11 0.2× 16 0.4× 51 1.4× 26 275

Countries citing papers authored by Mina Rezaei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mina Rezaei

This figure shows the co-authorship network connecting the top 25 collaborators of Mina Rezaei. A scholar is included among the top collaborators of Mina Rezaei 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 Mina Rezaei. Mina Rezaei 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.
Sharma, Cynthia M., et al.. (2025). Pre-trained molecular representations enable antimicrobial discovery. Nature Communications. 16(1). 3420–3420. 8 indexed citations
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Franzosa, Eric A., Curtis Huttenhower, Mina Rezaei, et al.. (2024). Optimized model architectures for deep learning on genomic data. Communications Biology. 7(1). 516–516. 1 indexed citations
4.
Binder, Martin, et al.. (2023). A self-supervised deep learning method for data-efficient training in genomics. Communications Biology. 6(1). 928–928. 9 indexed citations
5.
Rezaei, Mina, et al.. (2023). Deep Bregman divergence for self-supervised representations learning. Computer Vision and Image Understanding. 235. 103801–103801. 1 indexed citations
6.
Rezaei, Mina, et al.. (2023). Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical images. Journal of Medical Imaging. 10(5). 54501–54501. 1 indexed citations
7.
Münch, Philipp C., et al.. (2023). Neural Architecture Search for Genomic Sequence Data. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 1–10.
8.
Rezaei, Mina, Janne J. Näppi, Bernd Bischl, & Hiro Yoshida. (2022). Deep mutual GANs: representation learning from multiple experts. 32–32. 1 indexed citations
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Eslami, Mohammad, et al.. (2022). Deep variational clustering framework for self-labeling large-scale medical images. 9–9. 2 indexed citations
11.
Sarmadi, Mohammad, et al.. (2021). Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world. Environmental Sciences Europe. 33(1). 134–134. 51 indexed citations
12.
Rezaei, Mina, Janne J. Näppi, Christoph Lippert, Christoph Meinel, & Hiroyuki Yoshida. (2020). Generative multi-adversarial network for striking the right balance in abdominal image segmentation. International Journal of Computer Assisted Radiology and Surgery. 15(11). 1847–1858. 20 indexed citations
13.
Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2019). Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multimedia Tools and Applications. 79(21-22). 15329–15348. 43 indexed citations
14.
Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2019). Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks. 79–79. 3 indexed citations
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Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2018). Instance Tumor Segmentation using Multitask Convolutional Neural Network. 1–8. 16 indexed citations
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Rezaei, Mina, et al.. (2016). Modelling Evapotranspiration to Increase the Accuracy of the Estimations Based on the Climatic Parameters. Water Conservation Science and Engineering. 1(3). 197–207. 70 indexed citations
19.
Rezaei, Mina & Farshad Tajeripour. (2013). Dual Cavity Segmentation of Left and Right Ventricles in Cardiac MRI by Guided Random Walks with Registration. 2(1). 52–56. 1 indexed citations
20.

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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