Adnan Acan

607 total citations
36 papers, 329 citations indexed

About

Adnan Acan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Adnan Acan has authored 36 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 6 papers in Control and Systems Engineering. Recurrent topics in Adnan Acan's work include Metaheuristic Optimization Algorithms Research (18 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Evolutionary Algorithms and Applications (7 papers). Adnan Acan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Evolutionary Algorithms and Applications (7 papers). Adnan Acan collaborates with scholars based in Cyprus, Türkiye and United States. Adnan Acan's co-authors include Önsen Toygar, Zixiang Xu, Hakan Altınçay, Mehmet Bodur and F. Özgüner and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

Adnan Acan

34 papers receiving 308 citations

Peers

Countries citing papers authored by Adnan Acan

Since Specialization

Citations

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

Fields of papers citing papers by Adnan Acan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Acan

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Acan. A scholar is included among the top collaborators of Adnan Acan 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 Adnan Acan. Adnan Acan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Dynamic Metaheuristic Network for Numerical Multi-objective Optimization 2021 ·International Journal of Artificial Intelligence Tools ·Adnan Acan, (unknown)	1
2	Multi-scale features for heartbeat classification using directed acyclic graph CNN 2018 ·Applied Artificial Intelligence ·(unknown), (unknown), Adnan Acan	11
3	Imperialist Competitive Algorithm with Updated Assimilation for the Solution of Real Valued Optimization Problems 2017 ·International Journal of Artificial Intelligence Tools ·(unknown), (unknown), Adnan Acan	3
4	Probability collectives hybridised with differential evolution for global optimisation 2016 ·International Journal of Bio-Inspired Computation ·Zixiang Xu, (unknown), Adnan Acan	14
5	A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization 2016 ·Artificial Intelligence Review ·Adnan Acan, (unknown)	13
6	A great deluge and tabu search hybrid with two-stage memory support for quadratic assignment problem 2015 ·Applied Soft Computing ·Adnan Acan, (unknown)	17
7	A tournament-based competitive-cooperative multiagent architecture for real parameter optimization 2015 ·Soft Computing ·(unknown), Adnan Acan	8
8	A two-stage memory powered Great Deluge algorithm for global optimization 2014 ·Soft Computing ·Adnan Acan, (unknown)	9
9	Solving multiprocessor scheduling problem using multi-objective mean field annealing 2013 ·(unknown), Adnan Acan	4
10	An evolutionary multi-objective modeling and solution approach for fuzzy vehicle routing problem 2011 ·(unknown), (unknown), Adnan Acan	2
11	A memory-based colonization scheme for particle swarm optimization 2009 ·Adnan Acan, (unknown)	8
12	Reduction of Generalization Error in Fuzzy System Modeling 2006 ·Mehmet Bodur, Adnan Acan, (unknown)	2
13	Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization 2006 ·Mehmet Bodur, Adnan Acan, (unknown)	5
14	Reciprocal Translocation Against GA-Deceptiveness 2005 ·Adnan Acan, (unknown)	1
15	Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition 2004 ·Pattern Recognition Letters ·Önsen Toygar, Adnan Acan	15
16	FACE RECOGNITION USING PCA, LDA AND ICA APPROACHES ON COLORED IMAGES 2003 ·DergiPark (Istanbul University) ·Önsen Toygar, Adnan Acan	43
17	An Analysis of Appearance-Based Statistical Methods and Autoassociative Neural Networks On Face Recognition. 2003 ·International Conference on Artificial Intelligence ·Önsen Toygar, Adnan Acan	1
18	A genetic algorithm with multiple crossover operators for optimal frequency assignment problem 2003 ·Adnan Acan, Hakan Altınçay, (unknown), (unknown)	10
19	Switchbox routing by simulated annealing: SAR 2003 ·OpenMETU (Middle East Technical University) ·Adnan Acan, (unknown)	2
20	Reciprocal translocation with adaptive segment length 2003 ·Adnan Acan	2

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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