Mohsen Soryani

1.3k total citations
68 papers, 945 citations indexed

About

Mohsen Soryani is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohsen Soryani has authored 68 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Mohsen Soryani's work include AI in cancer detection (10 papers), Advanced Vision and Imaging (9 papers) and Image Retrieval and Classification Techniques (6 papers). Mohsen Soryani is often cited by papers focused on AI in cancer detection (10 papers), Advanced Vision and Imaging (9 papers) and Image Retrieval and Classification Techniques (6 papers). Mohsen Soryani collaborates with scholars based in Iran, Netherlands and United Kingdom. Mohsen Soryani's co-authors include Mahmood Fathy, Ehsan Kozegar, Hamid Behnam, Tao Tan, Reza Azmi, Behrouz Minaei‐Bidgoli, Keivan Navi, Inês Domingues, Jafar Massah and Gholamreza Chegini and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Computers and Electronics in Agriculture.

In The Last Decade

Mohsen Soryani

61 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsen Soryani Iran 17 363 232 175 151 137 68 945
Guosheng Yang China 11 148 0.4× 103 0.4× 160 0.9× 45 0.3× 73 0.5× 39 707
Qiang Ji United States 16 606 1.7× 281 1.2× 232 1.3× 94 0.6× 48 0.4× 70 1.3k
Byung Cheol Song South Korea 19 825 2.3× 246 1.1× 195 1.1× 47 0.3× 22 0.2× 147 1.2k
Cüneyt Güzelіș Türkiye 18 316 0.9× 241 1.0× 90 0.5× 57 0.4× 15 0.1× 91 1.1k
Reza Azmi Iran 16 260 0.7× 260 1.1× 47 0.3× 79 0.5× 41 0.3× 86 709
Raymond Ptucha United States 18 624 1.7× 333 1.4× 75 0.4× 24 0.2× 47 0.3× 76 1.1k
Mourad Zaied Tunisia 24 996 2.7× 441 1.9× 117 0.7× 37 0.2× 31 0.2× 135 1.6k
Jiawei Xu China 15 390 1.1× 117 0.5× 23 0.1× 46 0.3× 37 0.3× 41 794
Ihsen Alouani France 15 290 0.8× 196 0.8× 45 0.3× 17 0.1× 44 0.3× 48 645
Franck Davoine France 17 594 1.6× 190 0.8× 146 0.8× 21 0.1× 27 0.2× 51 960

Countries citing papers authored by Mohsen Soryani

Since Specialization
Citations

This map shows the geographic impact of Mohsen Soryani'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 Mohsen Soryani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Soryani more than expected).

Fields of papers citing papers by Mohsen Soryani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohsen Soryani. 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 Mohsen Soryani. The network helps show where Mohsen Soryani may publish in the future.

Co-authorship network of co-authors of Mohsen Soryani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Soryani. A scholar is included among the top collaborators of Mohsen Soryani 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 Mohsen Soryani. Mohsen Soryani 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.
Behnam, Hamid, et al.. (2025). A multi-task self-supervised approach for mass detection in automated breast ultrasound using double attention recurrent residual U-Net. Computers in Biology and Medicine. 188. 109829–109829. 1 indexed citations
2.
Soryani, Mohsen, et al.. (2024). Mass segmentation in automated breast ultrasound using an enhanced attentive UNet. Expert Systems with Applications. 245. 123095–123095. 11 indexed citations
3.
Soryani, Mohsen, et al.. (2024). Weakly supervised brain tumour segmentation with label propagation and level set loss. IET Image Processing. 19(1). 1 indexed citations
4.
Kozegar, Ehsan, et al.. (2024). Mass detection in automated three dimensional breast ultrasound using cascaded convolutional neural networks. Physica Medica. 124. 103433–103433. 1 indexed citations
5.
Azmi, Reza, et al.. (2019). Driver Distraction Recognition using 3D Convolutional Neural Networks. 145–151. 33 indexed citations
6.
Mottaghi, Ali, et al.. (2019). Action recognition in freestyle wrestling using silhouette-skeleton features. Engineering Science and Technology an International Journal. 23(4). 921–930. 10 indexed citations
7.
Soryani, Mohsen, et al.. (2018). Persian Handwritten Character Recognition Using Convolutional Neural Network. 7 indexed citations
8.
Kozegar, Ehsan, et al.. (2017). Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model. 10(2). 16–26.
9.
Kozegar, Ehsan, et al.. (2017). Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts. Ultrasonics. 79. 68–80. 35 indexed citations
10.
Kozegar, Ehsan & Mohsen Soryani. (2017). A cost-sensitive Bayesian combiner for reducing false positives in mammographic mass detection. Biomedizinische Technik/Biomedical Engineering. 0(0). 39–52. 1 indexed citations
11.
Soryani, Mohsen, et al.. (2015). Introducing Coplanar Wire Crossing in Ternary Quantum Cellular Automata. Journal of Computational and Theoretical Nanoscience. 12(8). 1647–1651. 1 indexed citations
12.
Soryani, Mohsen, et al.. (2015). Malware clustering using image processing hashes. 214–218. 13 indexed citations
13.
Fathy, Mahmood, et al.. (2013). A Driver Face Monitoring System for Fatigue and Distraction Detection. 2013. 1–11. 123 indexed citations
14.
Kozegar, Ehsan, Mohsen Soryani, Behrouz Minaei‐Bidgoli, & Inês Domingues. (2013). Assessment of a novel mass detection algorithm in mammograms. Journal of Cancer Research and Therapeutics. 9(4). 592–592. 53 indexed citations
15.
Soryani, Mohsen, et al.. (2012). Planning VANET infrastructures to improve safety awareness in curved roads. Journal of Zhejiang University SCIENCE C. 13(12). 918–928. 1 indexed citations
16.
Soryani, Mohsen, et al.. (2011). A new decoder side video stabilization using particle filter. International Conference on Systems, Signals and Image Processing. 1–4. 1 indexed citations
17.
Soryani, Mohsen, et al.. (2009). Modeling and Analyzing of Blocking Time Effects on Power Consumption in Network-on-Chips. 290–295. 3 indexed citations
18.
Soryani, Mohsen, et al.. (2008). Direct Computation of Epipoles Using Two Pairs of Point-Line Correspondences. 486–489. 1 indexed citations
19.
Soryani, Mohsen, et al.. (2007). Vehicle Shadow Exclusion for a Vehicle Velocity Detection System.. International MultiConference of Engineers and Computer Scientists. 492–496.
20.
Soryani, Mohsen, et al.. (1990). Spatial domain coding techniques for image sequences. International Astronomical Union Colloquium. 2 indexed citations

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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