Amin Beheshti

4.7k total citations
136 papers, 2.0k citations indexed

About

Amin Beheshti is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Amin Beheshti has authored 136 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 33 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Amin Beheshti's work include Advanced Graph Neural Networks (15 papers), Data Quality and Management (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Amin Beheshti is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Data Quality and Management (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Amin Beheshti collaborates with scholars based in Australia, China and United States. Amin Beheshti's co-authors include Boualem Benatallah, Reza Nouri, Nour Moustafa, Hamid Reza Motahari‐Nezhad, Javed Ashraf, Asim Dilawar Bakhshi, Hasnat Khurshid, Jia Wu, Hamid Alinejad‐Rokny and Jian Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Amin Beheshti

117 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amin Beheshti Australia 24 879 460 450 255 163 136 2.0k
Yucong Duan China 22 704 0.8× 741 1.6× 582 1.3× 201 0.8× 162 1.0× 141 2.0k
Zheng Li China 25 779 0.9× 885 1.9× 770 1.7× 249 1.0× 144 0.9× 209 2.4k
Yong Ge United States 22 643 0.7× 541 1.2× 225 0.5× 304 1.2× 174 1.1× 63 1.6k
Abdelaziz Bouras Qatar 21 724 0.8× 444 1.0× 269 0.6× 393 1.5× 123 0.8× 111 2.2k
Mabrook Al‐Rakhami Saudi Arabia 28 628 0.7× 555 1.2× 549 1.2× 247 1.0× 228 1.4× 75 2.2k
Zibin Zheng China 23 598 0.7× 1.1k 2.5× 742 1.6× 226 0.9× 128 0.8× 140 2.1k
Asad Masood Khattak United Arab Emirates 24 684 0.8× 478 1.0× 426 0.9× 250 1.0× 189 1.2× 112 1.6k
Sadok Ben Yahia Tunisia 19 612 0.7× 618 1.3× 336 0.7× 144 0.6× 103 0.6× 188 1.6k
Paul Davidsson Sweden 24 454 0.5× 294 0.6× 431 1.0× 195 0.8× 361 2.2× 181 2.2k
Jian Cao China 21 786 0.9× 1.2k 2.6× 769 1.7× 263 1.0× 167 1.0× 267 2.2k

Countries citing papers authored by Amin Beheshti

Since Specialization
Citations

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

Fields of papers citing papers by Amin Beheshti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Beheshti

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Beheshti. A scholar is included among the top collaborators of Amin Beheshti 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 Amin Beheshti. Amin Beheshti 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.
Fadaei, Sadegh, et al.. (2025). A new texture descriptor based on hexagonal local binary pattern for content-based image retrieval. Digital Signal Processing. 161. 105138–105138. 1 indexed citations
2.
Amiri, Mohammad Hussein, et al.. (2025). Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization. Knowledge-Based Systems. 327. 114119–114119. 1 indexed citations
3.
4.
Wu, Jia, Jian Yang, Shan Xue, et al.. (2025). Global Interpretable Graph-level Anomaly Detection via Prototype. 3586–3597. 1 indexed citations
5.
Beheshti, Amin, et al.. (2025). ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering. Algorithms. 18(4). 238–238. 1 indexed citations
6.
Beheshti, Amin, et al.. (2025). Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. 2899–2902. 1 indexed citations
7.
Beheshti, Amin & Ian Kerridge. (2025). Understanding the Artificial Intelligence Revolution and its Ethical Implications. Journal of Bioethical Inquiry. 22(3). 497–505.
8.
Nydén, Magnus, et al.. (2025). Artificial intelligence-based personalised learning in education: a systematic literature review. Discover Artificial Intelligence. 5(1).
9.
Beheshti, Amin, et al.. (2024). Advancing student outcome predictions through generative adversarial networks. Computers and Education Artificial Intelligence. 7. 100293–100293. 6 indexed citations
10.
Amiri, Mohammad Hussein, et al.. (2024). An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants. Expert Systems with Applications. 263. 125497–125497. 12 indexed citations
11.
12.
Xiang, Haolong, Xuyun Zhang, Xiaolong Xu, et al.. (2024). Federated Learning-Based Anomaly Detection with Isolation Forest in the IoT-Edge Continuum. ACM Transactions on Multimedia Computing Communications and Applications. 22(1). 1–19. 6 indexed citations
13.
Beheshti, Amin, et al.. (2023). A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants. International Journal of Molecular Sciences. 24(3). 2472–2472. 2 indexed citations
14.
Beheshti, Amin, et al.. (2023). A Rule-Based Approach for Mining Creative Thinking Patterns from Big Educational Data. SHILAP Revista de lepidopterología. 3(1). 243–267. 4 indexed citations
15.
Xiang, Haolong, Xuyun Zhang, Hongsheng Hu, et al.. (2023). OptIForest: Optimal Isolation Forest for Anomaly Detection. 2379–2387. 9 indexed citations
16.
Hacid, Hakim, Monther Aldwairi, Mohamed Reda Bouadjenek, et al.. (2022). Service-Oriented Computing – ICSOC 2021 Workshops. Lecture notes in computer science. 7 indexed citations
17.
Guo, Zhiwei, Keping Yu, Alireza Jolfaei, et al.. (2022). Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15486–15498. 71 indexed citations
18.
Schiliro, Francesco, Nour Moustafa, & Amin Beheshti. (2020). Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things. 73–79. 6 indexed citations
19.
Ghafari, Seyed Mohssen, Amin Beheshti, Aditya Joshi, et al.. (2020). A Survey on Trust Prediction in Online Social Networks. IEEE Access. 8. 144292–144309. 24 indexed citations
20.
Yakhchi, Shahpar, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, & Guanfeng Liu. (2020). Towards a Deep Attention-Based Sequential Recommender System. IEEE Access. 8. 178073–178084. 8 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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