Djaafar Zouache

746 total citations
23 papers, 540 citations indexed

About

Djaafar Zouache is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Djaafar Zouache has authored 23 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 3 papers in Civil and Structural Engineering. Recurrent topics in Djaafar Zouache's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Topology Optimization in Engineering (3 papers). Djaafar Zouache is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Topology Optimization in Engineering (3 papers). Djaafar Zouache collaborates with scholars based in Algeria, France and Malaysia. Djaafar Zouache's co-authors include Abdelouahab Moussaouı, Adel Got, Fouad Ben Abdelaziz, Farid Nouioua, Laith Abualigah, Ahmed Alsayat, Deemah Alarabiat, Habiba Drias, El‐Ghazali Talbi and Sofiane Maza and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Djaafar Zouache

22 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Djaafar Zouache Algeria 11 310 191 76 56 55 23 540
Changshou Deng China 13 464 1.5× 227 1.2× 75 1.0× 65 1.2× 55 1.0× 64 633
Dongdong Yang China 11 310 1.0× 182 1.0× 46 0.6× 59 1.1× 60 1.1× 23 484
Anima Naik India 12 428 1.4× 210 1.1× 83 1.1× 79 1.4× 147 2.7× 25 705
Wenyong Dong China 12 268 0.9× 100 0.5× 84 1.1× 70 1.3× 54 1.0× 40 674
Yinan Guo China 10 332 1.1× 119 0.6× 114 1.5× 95 1.7× 46 0.8× 40 546
Chenyang Li China 11 227 0.7× 100 0.5× 78 1.0× 42 0.8× 57 1.0× 29 498
S. K. Smit Netherlands 6 382 1.2× 229 1.2× 41 0.5× 32 0.6× 52 0.9× 11 646

Countries citing papers authored by Djaafar Zouache

Since Specialization
Citations

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

Fields of papers citing papers by Djaafar Zouache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djaafar Zouache

This figure shows the co-authorship network connecting the top 25 collaborators of Djaafar Zouache. A scholar is included among the top collaborators of Djaafar Zouache 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 Djaafar Zouache. Djaafar Zouache 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.
2.
Zouache, Djaafar, et al.. (2025). An enhanced henry gas solubility optimization algorithm using transfer functions for feature selection problem. Multimedia Tools and Applications. 84(29). 35647–35691. 3 indexed citations
3.
Zouache, Djaafar, et al.. (2023). An Improved Harris Hawks Optimization Algorithm Based on Bi-Goal Evolution and Multi-Leader Selection Strategy for Multi-Objective Optimization. Ingénierie des systèmes d information. 28(5). 1135–1150. 1 indexed citations
4.
Zouache, Djaafar, et al.. (2023). A guided epsilon-dominance arithmetic optimization algorithm for effective multi-objective optimization in engineering design problems. Multimedia Tools and Applications. 83(11). 31673–31700. 5 indexed citations
5.
Zouache, Djaafar, Adel Got, Deemah Alarabiat, Laith Abualigah, & El‐Ghazali Talbi. (2023). A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques. Multimedia Tools and Applications. 83(8). 22811–22835. 29 indexed citations
6.
7.
Got, Adel, Djaafar Zouache, Abdelouahab Moussaouı, Laith Abualigah, & Ahmed Alsayat. (2023). Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study. Journal of Bionic Engineering. 21(1). 409–425. 34 indexed citations
8.
Zouache, Djaafar, et al.. (2023). A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem. Artificial Intelligence Review. 56(S3). 3299–3340. 5 indexed citations
9.
Drias, Habiba, et al.. (2022). Quantum OPTICS and deep self-learning on swarm intelligence algorithms for Covid-19 emergency transportation. Soft Computing. 27(18). 13181–13200. 5 indexed citations
10.
Zouache, Djaafar & Fouad Ben Abdelaziz. (2022). MGDE: a many-objective guided differential evolution with strengthened dominance relation and bi-goal evolution. Annals of Operations Research. 346(2). 1929–1966. 9 indexed citations
11.
Zouache, Djaafar, et al.. (2022). A novel epsilon-dominance Harris Hawks optimizer for multi-objective optimization in engineering design problems. Neural Computing and Applications. 34(19). 17007–17036. 14 indexed citations
12.
Zouache, Djaafar, Adel Got, & Habiba Drias. (2022). An external archive guided Harris Hawks optimization using strengthened dominance relation for multi-objective optimization problems. Artificial Intelligence Review. 56(3). 2607–2638. 9 indexed citations
13.
Zouache, Djaafar & Fouad Ben Abdelaziz. (2021). Guided Manta Ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design. Expert Systems with Applications. 189. 116126–116126. 25 indexed citations
14.
Got, Adel, Djaafar Zouache, & Abdelouahab Moussaouı. (2021). MOMRFO: Multi-objective Manta ray foraging optimizer for handling engineering design problems. Knowledge-Based Systems. 237. 107880–107880. 40 indexed citations
15.
Got, Adel, Abdelouahab Moussaouı, & Djaafar Zouache. (2021). Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach. Expert Systems with Applications. 183. 115312–115312. 83 indexed citations
16.
Tari, Abdelkamel, et al.. (2019). Multiobjective artificial fish swarm algorithm for multiple sequence alignment. INFOR Information Systems and Operational Research. 58(1). 38–59. 9 indexed citations
17.
Maza, Sofiane & Djaafar Zouache. (2019). Binary Firefly Algorithm for Feature Selection in Classification. 1–6. 9 indexed citations
18.
Zouache, Djaafar & Fouad Ben Abdelaziz. (2017). A cooperative swarm intelligence algorithm based on quantum-inspired and rough sets for feature selection. Computers & Industrial Engineering. 115. 26–36. 39 indexed citations
19.
Zouache, Djaafar & Abdelouahab Moussaouı. (2015). Quantum-Inspired Differential Evolution with Particle Swarm Optimization for Knapsack Problem.. Journal of information science and engineering. 31. 1757–1773. 10 indexed citations
20.
Zouache, Djaafar, Farid Nouioua, & Abdelouahab Moussaouı. (2015). Quantum-inspired firefly algorithm with particle swarm optimization for discrete optimization problems. Soft Computing. 20(7). 2781–2799. 75 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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