Saeed Setayeshi

2.4k total citations
151 papers, 1.9k citations indexed

About

Saeed Setayeshi is a scholar working on Artificial Intelligence, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Saeed Setayeshi has authored 151 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Aerospace Engineering and 19 papers in Signal Processing. Recurrent topics in Saeed Setayeshi's work include Neural Networks and Applications (20 papers), Nuclear reactor physics and engineering (16 papers) and Speech and Audio Processing (13 papers). Saeed Setayeshi is often cited by papers focused on Neural Networks and Applications (20 papers), Nuclear reactor physics and engineering (16 papers) and Speech and Audio Processing (13 papers). Saeed Setayeshi collaborates with scholars based in Iran, Canada and United States. Saeed Setayeshi's co-authors include Gholam Hossein Roshani, S.A.H. Feghhi, Ehsan Nazemi, Hossein Arabalibeik, Amir Masoud Rahmani, Peyman Ayubi, Ali Taheri, Alireza Fatehi, Ehsan Eftekhari-Zadeh and Mojtaba Shamsaei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and International Journal of Hydrogen Energy.

In The Last Decade

Saeed Setayeshi

138 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeed Setayeshi Iran 22 375 373 366 364 257 151 1.9k
Mel Siegel United States 24 245 0.7× 285 0.8× 150 0.4× 264 0.7× 117 0.5× 121 2.5k
Clayton Scott United States 30 99 0.3× 220 0.6× 131 0.4× 907 2.5× 158 0.6× 111 2.4k
Clemens Elster Germany 31 159 0.4× 831 2.2× 165 0.5× 115 0.3× 94 0.4× 196 3.1k
Jun Su China 24 449 1.2× 134 0.4× 96 0.3× 248 0.7× 55 0.2× 221 2.2k
Ping He China 26 110 0.3× 390 1.0× 448 1.2× 464 1.3× 200 0.8× 226 2.5k
Bo Xiao China 26 191 0.5× 236 0.6× 714 2.0× 583 1.6× 269 1.0× 142 2.2k
Kwangmoo Koh United States 7 120 0.3× 430 1.2× 198 0.5× 401 1.1× 108 0.4× 9 2.5k
Long Zeng China 25 424 1.1× 393 1.1× 130 0.4× 117 0.3× 58 0.2× 178 2.2k
Jérôme Idier France 29 95 0.3× 434 1.2× 91 0.2× 383 1.1× 188 0.7× 144 3.2k
Weiyu Xu United States 26 264 0.7× 835 2.2× 174 0.5× 233 0.6× 48 0.2× 112 3.1k

Countries citing papers authored by Saeed Setayeshi

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Setayeshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Setayeshi

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Setayeshi. A scholar is included among the top collaborators of Saeed Setayeshi 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 Saeed Setayeshi. Saeed Setayeshi 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.
Worm, E., Rune Hansen, Britta Weber, et al.. (2024). Accuracy of four models and update strategies to estimate liver tumor motion from external respiratory motion. Frontiers in Oncology. 14. 1470650–1470650. 1 indexed citations
2.
3.
Ayubi, Peyman, Saeed Setayeshi, & Amir Masoud Rahmani. (2023). Chaotic Complex Hashing: A simple chaotic keyed hash function based on complex quadratic map. Chaos Solitons & Fractals. 173. 113647–113647. 19 indexed citations
4.
Setayeshi, Saeed, et al.. (2023). Music emotion recognition based on a modified brain emotional learning model. Multimedia Tools and Applications. 82(17). 26037–26061. 4 indexed citations
5.
Setayeshi, Saeed, et al.. (2022). A Biased Inferential Naivety learning model for a network of agents. Cognitive Systems Research. 76. 1–12.
6.
Karimi-Rouzbahani, Hamid, et al.. (2021). Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features. Neural Computation. 33(11). 1–46. 11 indexed citations
7.
Setayeshi, Saeed, et al.. (2021). Blind separation of underdetermined Convolutive speech mixtures by time–frequency masking with the reduction of musical noise of separated signals. Multimedia Tools and Applications. 80(8). 12601–12618. 6 indexed citations
8.
Setayeshi, Saeed, et al.. (2019). Synthesis, simulation of semi-localized transitions (SLT) model of LiF:Mg,Ti phosphors and investigation of displacement peak in glow curves. Radiation Measurements. 125. 89–95. 1 indexed citations
9.
Setayeshi, Saeed, et al.. (2019). The two-level version of semi-localized transitions (SLT) model for thermoluminescence dosimeter. Radiation Measurements. 123. 44–53. 3 indexed citations
10.
Vaghefi, Mohammad, et al.. (2019). Application of artificial neural networks to predict flow velocity in a 180° sharp bend with and without a spur dike. Soft Computing. 24(12). 8805–8821. 16 indexed citations
11.
Khademzadeh, Ahmad, et al.. (2018). An efficient resource allocation scheme in a dense RFID network based on cellular learning automata. International Journal of Communication Systems. 32(1). 2 indexed citations
12.
Khademzadeh, Ahmad, et al.. (2018). A beacon analysis-based RFID reader anti-collision protocol for dense reader environments. Computer Communications. 128. 18–34. 11 indexed citations
13.
Rahmani, Amir Masoud, et al.. (2018). A novel algorithm for handling reducer side data skew in MapReduce based on a learning automata game. Information Sciences. 501. 662–679. 9 indexed citations
14.
Setayeshi, Saeed, et al.. (2017). An intelligent method for generating artificial earthquake records based on hybrid PSO–parallel brain emotional learning inspired model. Engineering With Computers. 34(3). 449–463. 7 indexed citations
15.
Mosleh, Mohammad, et al.. (2015). Designing and Implementing a Fast and Robust Full-Adder in Quantum-Dot Cellular Automata (QCA) Technology. 6(119). 27–45. 12 indexed citations
16.
Setayeshi, Saeed, et al.. (2014). Contrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Setayeshi, Saeed, et al.. (2014). Intelligent and fast recognition of heart disease based on synergy of linear neural network and logistic regression model. Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Māzandarān/Journal of Mazandaran University of Medical Sciences. 24(112). 78–87. 1 indexed citations
18.
Mahdipour, Ebrahim, Amir Masoud Rahmani, & Saeed Setayeshi. (2009). Importance Sampling for a Markov Modulated Queuing Network with Customer Impatience until the End of Service. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Teshnehlab, Mohammad, et al.. (2004). Short-term prediction of air pollution using td-cmac nfural network model. World Automation Congress. 17. 357–362. 1 indexed citations
20.
Kardan, Mohammad Reza, et al.. (2003). Neutron spectra unfolding in Bonner spheres spectrometry using neural networks. Radiation Protection Dosimetry. 104(1). 27–30. 26 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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