Aminollah Khormali

848 total citations
23 papers, 543 citations indexed

About

Aminollah Khormali is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Aminollah Khormali has authored 23 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Aminollah Khormali's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Adversarial Robustness in Machine Learning (6 papers). Aminollah Khormali is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Adversarial Robustness in Machine Learning (6 papers). Aminollah Khormali collaborates with scholars based in United States, South Korea and Iran. Aminollah Khormali's co-authors include Abdoljalil Addeh, J.S. Yuan, Aziz Mohaisen, Ahmed Abusnaina, Noorbakhsh Amiri Golilarz, Jeman Park, DaeHun Nyang, Hisham Alasmary, Afsah Anwar and Amro Awad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Aminollah Khormali

23 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aminollah Khormali United States 12 249 201 189 108 75 23 543
Barbora Micenková Denmark 5 546 2.2× 195 1.0× 97 0.5× 53 0.5× 39 0.5× 6 670
Divya Kumar India 12 190 0.8× 59 0.3× 89 0.5× 46 0.4× 81 1.1× 46 451
Ryohei Fujimaki Japan 12 310 1.2× 97 0.5× 87 0.5× 73 0.7× 27 0.4× 40 505
Lansheng Han China 11 184 0.7× 246 1.2× 108 0.6× 86 0.8× 92 1.2× 68 479
LiWu Chang United States 13 557 2.2× 328 1.6× 144 0.8× 102 0.9× 85 1.1× 27 687
Sakir Sezer United Kingdom 12 177 0.7× 389 1.9× 323 1.7× 65 0.6× 240 3.2× 41 741
Youcheng Sun United Kingdom 14 481 1.9× 111 0.6× 72 0.4× 124 1.1× 59 0.8× 47 776
Ning Ruan United States 13 175 0.7× 345 1.7× 367 1.9× 272 2.5× 77 1.0× 28 689
Eddy Mayoraz Switzerland 8 287 1.2× 30 0.1× 228 1.2× 252 2.3× 138 1.8× 24 673
Mohamed Kaâniche France 11 169 0.7× 405 2.0× 180 1.0× 14 0.1× 304 4.1× 32 625

Countries citing papers authored by Aminollah Khormali

Since Specialization
Citations

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

Fields of papers citing papers by Aminollah Khormali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aminollah Khormali

This figure shows the co-authorship network connecting the top 25 collaborators of Aminollah Khormali. A scholar is included among the top collaborators of Aminollah Khormali 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 Aminollah Khormali. Aminollah Khormali 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.
Khormali, Aminollah, et al.. (2025). Recent advancements in artificial intelligence‐powered cancer prediction from oral microbiome. Periodontology 2000. 98(1). 181–213. 1 indexed citations
2.
Şenbabaoğlu, Yasin, Aminollah Khormali, Elisa Warner, et al.. (2024). MOSBY enables multi-omic inference and spatial biomarker discovery from whole slide images. Scientific Reports. 14(1). 18271–18271. 2 indexed citations
3.
Khormali, Aminollah & J.S. Yuan. (2024). Self-Supervised Graph Transformer for Deepfake Detection. IEEE Access. 12. 58114–58127. 11 indexed citations
4.
Khormali, Aminollah & J.S. Yuan. (2021). ADD: Attention-Based DeepFake Detection Approach. Big Data and Cognitive Computing. 5(4). 49–49. 35 indexed citations
5.
Khormali, Aminollah, et al.. (2020). Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks. Big Data and Cognitive Computing. 4(2). 11–11. 11 indexed citations
6.
Salem, Milad, et al.. (2020). TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model. Big Data and Cognitive Computing. 4(3). 16–16. 10 indexed citations
7.
Abusnaina, Ahmed, et al.. (2020). DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. 2459–2468. 35 indexed citations
8.
Khormali, Aminollah, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, & Aziz Mohaisen. (2020). From Blue-Sky to Practical Adversarial Learning. 9. 118–127. 2 indexed citations
9.
Abusnaina, Ahmed, Aminollah Khormali, Hisham Alasmary, et al.. (2019). Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems. 1296–1305. 55 indexed citations
10.
Alasmary, Hisham, Aminollah Khormali, Afsah Anwar, et al.. (2019). Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. IEEE Internet of Things Journal. 6(5). 8977–8988. 115 indexed citations
11.
Abusnaina, Ahmed, Aminollah Khormali, Hisham Alasmary, et al.. (2019). Breaking graph-based IoT malware detection systems using adversarial examples. 290–291. 5 indexed citations
12.
Park, Jeman, Aminollah Khormali, Manar Mohaisen, & Aziz Mohaisen. (2019). Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers. 493–504. 16 indexed citations
13.
Abusnaina, Ahmed, Aminollah Khormali, DaeHun Nyang, Murat Yüksel, & Aziz Mohaisen. (2019). Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks. 15 indexed citations
14.
Addeh, Abdoljalil, Aminollah Khormali, & Noorbakhsh Amiri Golilarz. (2018). Control chart pattern recognition using RBF neural network with new training algorithm and practical features. ISA Transactions. 79. 202–216. 93 indexed citations
15.
Anwar, Afsah, Aminollah Khormali, & Aziz Mohaisen. (2018). POSTER. Journal of International Crisis and Risk Communication Research. 793–795. 1 indexed citations
16.
Khormali, Aminollah & Abdoljalil Addeh. (2016). A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine. ISA Transactions. 63. 256–264. 43 indexed citations
17.
Khormali, Aminollah, et al.. (2016). On-line Full Probability Distribution Identification of ARX Model Parameters Based on Bayesian Approach. IFAC-PapersOnLine. 49(7). 508–513. 1 indexed citations
18.
Khormali, Aminollah, et al.. (2015). Optimization of brushless direct current motor design using an intelligent technique. ISA Transactions. 57. 311–321. 24 indexed citations
19.
20.
Khormali, Aminollah, et al.. (2011). The openshop batch processing problem with non-identical processing times, using simulated annealing and genetic algorithms approaches. The International Journal of Advanced Manufacturing Technology. 59(9-12). 1157–1165. 5 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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