Farzan Soleymani

597 total citations
17 papers, 368 citations indexed

About

Farzan Soleymani is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Farzan Soleymani has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Farzan Soleymani's work include Stock Market Forecasting Methods (4 papers), Hydraulic and Pneumatic Systems (4 papers) and Protein Structure and Dynamics (3 papers). Farzan Soleymani is often cited by papers focused on Stock Market Forecasting Methods (4 papers), Hydraulic and Pneumatic Systems (4 papers) and Protein Structure and Dynamics (3 papers). Farzan Soleymani collaborates with scholars based in Canada, Iran and United States. Farzan Soleymani's co-authors include Eric Paquet, Wojtek Michalowski, Herna L. Viktor, Davide Spinello, Seyed Mehdi Rezaei, Mohammad Zareinejad, Suruz Miah, Abdolreza Rahimi, Jennifer Hunter and Stéphane Poitras and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and The Journal of Arthroplasty.

In The Last Decade

Farzan Soleymani

17 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farzan Soleymani Canada 9 109 108 64 63 60 17 368
Chang‐Biau Yang Taiwan 13 46 0.4× 130 1.2× 72 1.1× 157 2.5× 72 1.2× 64 404
Konstantinos Theofilatos Greece 8 125 1.1× 31 0.3× 21 0.3× 68 1.1× 64 1.1× 13 277
Zhiqiang Zhang China 14 171 1.6× 94 0.9× 18 0.3× 34 0.5× 7 0.1× 64 587
Eva Alfaro-Cid Spain 11 51 0.5× 15 0.1× 25 0.4× 84 1.3× 28 0.5× 24 260
Sudarsan Padhy India 10 120 1.1× 12 0.1× 12 0.2× 85 1.3× 76 1.3× 18 287
Anwar Ul Haq China 9 81 0.7× 24 0.2× 12 0.2× 160 2.5× 37 0.6× 24 361
Rasmita Dash India 12 62 0.6× 108 1.0× 25 0.4× 251 4.0× 37 0.6× 45 430
Athanasios Tsakonas Greece 11 41 0.4× 28 0.3× 33 0.5× 230 3.7× 11 0.2× 36 376
Matthias Köppe United States 14 35 0.3× 56 0.5× 198 3.1× 52 0.8× 37 0.6× 39 453
Wenjie You China 8 30 0.3× 86 0.8× 20 0.3× 118 1.9× 11 0.2× 18 300

Countries citing papers authored by Farzan Soleymani

Since Specialization
Citations

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

Fields of papers citing papers by Farzan Soleymani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzan Soleymani

This figure shows the co-authorship network connecting the top 25 collaborators of Farzan Soleymani. A scholar is included among the top collaborators of Farzan Soleymani 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 Farzan Soleymani. Farzan Soleymani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, & Wojtek Michalowski. (2024). Structure-based protein and small molecule generation using EGNN and diffusion models: A comprehensive review. Computational and Structural Biotechnology Journal. 23. 2779–2797. 6 indexed citations
2.
Paquet, Eric, Farzan Soleymani, Herna L. Viktor, & Wojtek Michalowski. (2024). Annealed fractional Lévy–Itō diffusion models for protein generation. Computational and Structural Biotechnology Journal. 23. 1641–1653. 2 indexed citations
3.
Paquet, Eric, et al.. (2023). QuantumBound – Interactive protein generation with one-shot learning and hybrid quantum neural networks. SHILAP Revista de lepidopterología. 2(1). 100030–100030. 3 indexed citations
4.
Hunter, Jennifer, Farzan Soleymani, Herna L. Viktor, et al.. (2023). Using Unsupervised Machine Learning to Predict Quality of Life After Total Knee Arthroplasty. The Journal of Arthroplasty. 39(3). 677–682. 8 indexed citations
5.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, Wojtek Michalowski, & Davide Spinello. (2023). ProtInteract: A deep learning framework for predicting protein–protein interactions. Computational and Structural Biotechnology Journal. 21. 1324–1348. 22 indexed citations
6.
Soleymani, Farzan, Suruz Miah, & Davide Spinello. (2023). Optimal non-autonomous area coverage control with adaptive reinforcement learning. Engineering Applications of Artificial Intelligence. 122. 106068–106068. 4 indexed citations
7.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, Wojtek Michalowski, & Davide Spinello. (2022). Protein–protein interaction prediction with deep learning: A comprehensive review. Computational and Structural Biotechnology Journal. 20. 5316–5341. 95 indexed citations
8.
Soleymani, Farzan & Eric Paquet. (2022). Long-term financial predictions based on Feynman–Dirac path integrals, deep Bayesian networks and temporal generative adversarial networks. SHILAP Revista de lepidopterología. 7. 100255–100255. 10 indexed citations
9.
Paquet, Eric & Farzan Soleymani. (2022). QuantumLeap: Hybrid quantum neural network for financial predictions. Expert Systems with Applications. 195. 116583–116583. 49 indexed citations
10.
Soleymani, Farzan, Suruz Miah, & Davide Spinello. (2022). Temporal Difference Learning of Area Coverage Control with Multi-Agent Systems. 1–8. 1 indexed citations
11.
Soleymani, Farzan & Eric Paquet. (2021). Deep graph convolutional reinforcement learning for financial portfolio management – DeepPocket. Expert Systems with Applications. 182. 115127–115127. 42 indexed citations
12.
Soleymani, Farzan & Eric Paquet. (2020). Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath. Expert Systems with Applications. 156. 113456–113456. 96 indexed citations
13.
Soleymani, Farzan, Suruz Miah, & Davide Spinello. (2019). Non-autonomous State-Feedback to Stabilize the Error Dynamics in Time-Varying Area Coverage Control Problems. 1–5. 3 indexed citations
14.
Soleymani, Farzan, et al.. (2016). Position control of a servo-pneumatic actuator with mis-matched uncertainty using multiple-surface sliding mode controller and high-gain observer. Transactions of the Institute of Measurement and Control. 39(10). 1497–1508. 11 indexed citations
15.
Soleymani, Farzan, et al.. (2016). Position control of a servo-pneumatic actuator using generalized Maxwell-Slip friction model. 217. 246–251. 3 indexed citations
16.
Rezaei, Seyed Mehdi, et al.. (2016). Multi-class fault detection in electro-hydraulic servo systems using support vector machines. 252–257. 9 indexed citations
17.
Soleymani, Farzan, Seyed Mehdi Rezaei, Abdolreza Rahimi, Ali Reza Kamali, & Mohammad Zareinejad. (2015). Multiple-surface sliding mode control of pneumatic actuator with mismatched uncertainties. 64. 133–138. 4 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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2026