Ayad Turky

891 total citations
35 papers, 566 citations indexed

About

Ayad Turky is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ayad Turky has authored 35 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in Ayad Turky's work include Metaheuristic Optimization Algorithms Research (17 papers), Vehicle Routing Optimization Methods (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ayad Turky is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Vehicle Routing Optimization Methods (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ayad Turky collaborates with scholars based in Australia, Malaysia and United Arab Emirates. Ayad Turky's co-authors include Salwani Abdullah, Nasser R. Sabar, Andy Song, Graham Kendall, Ashish Bhaskar, Edward Chung, Mohd Sharifuddin Ahmad, Mohd Zaliman Mohd Yusoff, Say Leng Goh and Irene Moser and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Ayad Turky

28 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayad Turky Australia 13 288 203 159 67 65 35 566
Ya-Hui Jia China 12 303 1.1× 232 1.1× 164 1.0× 96 1.4× 62 1.0× 29 689
Belaïd Ahiod Morocco 10 348 1.2× 234 1.2× 118 0.7× 25 0.4× 31 0.5× 20 577
Mostafa Mahi Iran 5 310 1.1× 232 1.1× 113 0.7× 22 0.3× 30 0.5× 8 464
Dushyant Sharma United Kingdom 13 157 0.5× 297 1.5× 47 0.3× 56 0.8× 42 0.6× 47 616
Ma Liang China 13 139 0.5× 236 1.2× 39 0.2× 80 1.2× 54 0.8× 77 542
Francesco Carrabs Italy 14 87 0.3× 408 2.0× 95 0.6× 75 1.1× 111 1.7× 41 629
Panta Lučić United States 7 169 0.6× 203 1.0× 62 0.4× 135 2.0× 173 2.7× 14 589
Carmine Cerrone Italy 12 59 0.2× 200 1.0× 57 0.4× 36 0.5× 85 1.3× 27 352
Yali Du United Kingdom 12 275 1.0× 59 0.3× 33 0.2× 77 1.1× 34 0.5× 35 516
G.M. Komaki Iran 13 159 0.6× 537 2.6× 68 0.4× 26 0.4× 24 0.4× 18 747

Countries citing papers authored by Ayad Turky

Since Specialization
Citations

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

Fields of papers citing papers by Ayad Turky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayad Turky

This figure shows the co-authorship network connecting the top 25 collaborators of Ayad Turky. A scholar is included among the top collaborators of Ayad Turky 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 Ayad Turky. Ayad Turky 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.
Damiati, Samar, et al.. (2025). Designing Water‐in‐Oil Emulsion Using Microfluidic Systems Through Machine Learning. SHILAP Revista de lepidopterología. 5(3).
2.
Alaskar, Haya, Soliman A. Mahmoud, Ayad Turky, et al.. (2024). Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. IEEE Access. 12. 95091–95105. 6 indexed citations
3.
Abdullah, Salwani, et al.. (2024). An Improved Glowworm Swarm Optimization Based on Various Mutation Operators. IEEE Access. 12. 106359–106384.
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7.
Shehada, Dina, Ayad Turky, Tamer Rabie, & Abir Hussain. (2024). Enhanced Lightweight Facial Emotion Recognition Systems for Visually Impaired People. 1–6.
8.
9.
Turky, Ayad, Abir Hussain, Anissa M. Bettayeb, & Mohamed Adel Serhani. (2023). Integrating Deep Learning and Ant Colony Optimization for Improved Shortest Route Problem Solving. 45–49. 1 indexed citations
10.
Shehada, Dina, et al.. (2023). A Lightweight Facial Emotion Recognition System Using Partial Transfer Learning for Visually Impaired People. IEEE Access. 11. 36961–36969. 14 indexed citations
11.
Abdullah, Salwani, Ayad Turky, Mohd Zakree Ahmad Nazri, & Nasser R. Sabar. (2021). An Evolutionary Variable Neighbourhood Search for the Unrelated Parallel Machine Scheduling Problem. IEEE Access. 9. 42857–42867. 1 indexed citations
12.
Sabar, Nasser R., Say Leng Goh, Ayad Turky, & Graham Kendall. (2021). Population-Based Iterated Local Search Approach for Dynamic Vehicle Routing Problems. IEEE Transactions on Automation Science and Engineering. 19(4). 2933–2943. 31 indexed citations
13.
Turky, Ayad, Nasser R. Sabar, Simon Dunstall, & Andy Song. (2020). Hyper-heuristic local search for combinatorial optimisation problems. Knowledge-Based Systems. 205. 106264–106264. 28 indexed citations
14.
Sabar, Nasser R., Ayad Turky, Andy Song, & Abdul Sattar. (2019). An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. Applied Soft Computing. 97. 105510–105510. 20 indexed citations
15.
Sabar, Nasser R., Ayad Turky, Andy Song, & Abdul Sattar. (2017). Optimising Deep Belief Networks by hyper-heuristic approach. Victoria University Research Repository (Victoria University). 2738–2745. 9 indexed citations
16.
Abdullah, Salwani, et al.. (2017). An Interleaved Artificial Bee Colony algorithm for dynamic optimisation problems. Connection Science. 30(3). 272–284. 7 indexed citations
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Turky, Ayad, et al.. (2014). Meta-heuristic algorithm for binary dynamic optimisation problems and its relevancy to timetabling. Victoria University Research Repository (Victoria University). 5 indexed citations
19.
Turky, Ayad, Salwani Abdullah, & Nasser R. Sabar. (2014). A Hybrid Harmony Search Algorithm for Solving Dynamic Optimisation Problems. Procedia Computer Science. 29. 1926–1936. 20 indexed citations
20.
Turky, Ayad & Mohd Sharifuddin Ahmad. (2010). Using genetic algorithm for solving N-Queens problem. 745–747. 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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