Hossein Moosaei

2.0k total citations · 2 hit papers
50 papers, 1.3k citations indexed

About

Hossein Moosaei is a scholar working on Artificial Intelligence, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Hossein Moosaei has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Numerical Analysis and 17 papers in Computational Theory and Mathematics. Recurrent topics in Hossein Moosaei's work include Advanced Optimization Algorithms Research (17 papers), Face and Expression Recognition (14 papers) and Machine Learning and ELM (11 papers). Hossein Moosaei is often cited by papers focused on Advanced Optimization Algorithms Research (17 papers), Face and Expression Recognition (14 papers) and Machine Learning and ELM (11 papers). Hossein Moosaei collaborates with scholars based in Iran, Czechia and United States. Hossein Moosaei's co-authors include Roohallah Alizadehsani, Saeed Ketabchi, Mohamad Roshanzamir, Milan Hladík, Afshin Shoeibi, Saeid Nahavandi, Hossein Aminikhah, Mojtaba Hajipour, Niloofar Salemi and Seyed Alireza Zareei and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Hossein Moosaei

47 papers receiving 1.2k citations

Hit Papers

Computer aided decision making for heart disease detectio... 2017 2026 2020 2023 2017 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossein Moosaei Iran 16 479 264 196 193 163 50 1.3k
B. L. Deekshatulu India 16 335 0.7× 291 1.1× 198 1.0× 48 0.2× 50 0.3× 76 937
Ubaid M. Al‐Saggaf Saudi Arabia 24 144 0.3× 27 0.1× 118 0.6× 65 0.3× 85 0.5× 122 1.8k
Bartolomeo Stellato United States 12 149 0.3× 44 0.2× 227 1.2× 66 0.3× 118 0.7× 30 1.3k
Guoshan Zhang China 23 202 0.4× 20 0.1× 199 1.0× 143 0.7× 27 0.2× 207 2.1k
Ahmad Jafarian Iran 16 254 0.5× 58 0.2× 42 0.2× 14 0.1× 110 0.7× 55 866
Jer‐Guang Hsieh Taiwan 21 431 0.9× 25 0.1× 207 1.1× 67 0.3× 41 0.3× 101 1.6k
Dian Zhou China 26 266 0.6× 14 0.1× 130 0.7× 26 0.1× 51 0.3× 255 2.8k
Yanping Bai China 22 364 0.8× 21 0.1× 163 0.8× 177 0.9× 4 0.0× 90 1.2k
C.B. Soh Singapore 26 58 0.1× 128 0.5× 56 0.3× 34 0.2× 27 0.2× 109 1.7k
C. Kambhampati United Kingdom 15 364 0.8× 138 0.5× 59 0.3× 180 0.9× 3 0.0× 73 1.3k

Countries citing papers authored by Hossein Moosaei

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Moosaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Moosaei

This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Moosaei. A scholar is included among the top collaborators of Hossein Moosaei 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 Hossein Moosaei. Hossein Moosaei 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.
Hladík, Milan, et al.. (2025). An overview of absolute value equations: from theory to solution methods and challenges. Computational Optimization and Applications. 93(1). 435–488.
2.
Sadeghi, Zahra, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.. (2024). A review of Explainable Artificial Intelligence in healthcare. Computers & Electrical Engineering. 118. 109370–109370. 136 indexed citations breakdown →
3.
Moosaei, Hossein, et al.. (2023). Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space. Computers & Operations Research. 160. 106370–106370. 2 indexed citations
4.
Moosaei, Hossein, et al.. (2023). Sparse L1-norm quadratic surface support vector machine with Universum data. Soft Computing. 27(9). 5567–5586. 11 indexed citations
5.
Moosaei, Hossein, et al.. (2023). Universum parametric $$\nu $$-support vector regression for binary classification problems with its applications. Annals of Operations Research. 1 indexed citations
6.
Moosaei, Hossein, et al.. (2023). An improved multi-task least squares twin support vector machine. Annals of Mathematics and Artificial Intelligence. 93(1). 21–41. 2 indexed citations
7.
Moosaei, Hossein & Milan Hladík. (2023). Sparse solution of least-squares twin multi-class support vector machine using 0 and p-norm for classification and feature selection. Neural Networks. 166. 471–486. 10 indexed citations
8.
Sadeghi, Zahra, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.. (2023). A Brief Review of Explainable Artificial Intelligence in Healthcare. SSRN Electronic Journal. 14 indexed citations
9.
Hladík, Milan & Hossein Moosaei. (2022). Some notes on the solvability conditions for absolute value equations. Optimization Letters. 17(1). 211–218. 12 indexed citations
10.
Moosaei, Hossein, M. A. Ganaie, Milan Hladík, & M. Tanveer. (2022). Inverse free reduced universum twin support vector machine for imbalanced data classification. Neural Networks. 157. 125–135. 35 indexed citations
11.
Ketabchi, Saeed, et al.. (2021). Smooth augmented Lagrangian method for twin bounded support vector machine. Numerical Algebra Control and Optimization. 12(4). 659–659. 1 indexed citations
12.
Khozeimeh, Fahime, Danial Sharifrazi, Navid Hoseini Izadi, et al.. (2021). Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients. Scientific Reports. 11(1). 15343–15343. 85 indexed citations
13.
Sharifrazi, Danial, Roohallah Alizadehsani, Afshin Shoeibi, et al.. (2021). Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods. Results in Physics. 27. 104495–104495. 94 indexed citations
14.
Moosaei, Hossein, Saeed Ketabchi, Mehdi Razzaghi, & M. Tanveer. (2021). Generalized Twin Support Vector Machines. Neural Processing Letters. 53(2). 1545–1564. 18 indexed citations
15.
Ketabchi, Saeed, et al.. (2017). Computing minimum norm solution of linear systems of equations by the generalized Newton method. Numerical Algebra Control and Optimization. 7(2). 113–119. 2 indexed citations
16.
Ketabchi, Saeed & Hossein Moosaei. (2012). An efficient method for optimal correcting of absolute value equations by minimal changes in the right hand side. Computers & Mathematics with Applications. 64(6). 1882–1885. 31 indexed citations
17.
Ketabchi, Saeed, Hossein Moosaei, & Saeed Fallahi. (2011). Optimal error correction of the absolute value equation using a genetic algorithm. Mathematical and Computer Modelling. 57(9-10). 2339–2342. 15 indexed citations
18.
Ketabchi, Saeed, Hossein Moosaei, & Saeed Fallahi. (2010). Optimal Correction of Infeasible System in Linear Equality via Genetic Algorithm. Applications and Applied Mathematics: An International Journal (AAM). 5(2). 18. 1 indexed citations
19.
Aminikhah, Hossein & Hossein Moosaei. (2009). Weighted Harmonic Projection Method for Computing the Eigenvalues of Nonsymmetric Matrix. 1 indexed citations
20.
Najafi, H. Saberi & Hossein Moosaei. (2007). A new restarting method in the harmonic projection algorithm for computing the eigenvalues of a nonsymmetric matrix. Applied Mathematics and Computation. 198(1). 143–149. 3 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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