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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Scalability Study of Many-Objective Optimization Algorithms
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
IEEE Transactions on Evolutionary Computation (2016) Vol. 22, Iss. 1, pp. 79-96
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization
Lianbo Ma, Min Huang, Shengxiang Yang, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 7, pp. 6684-6696
Open Access | Times Cited: 228
Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization
Xiao-Fang Liu, Zhi‐Hui Zhan, Ying Gao, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 4, pp. 587-602
Open Access | Times Cited: 227
How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison
Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, et al.
Evolutionary Computation (2018) Vol. 26, Iss. 3, pp. 411-440
Closed Access | Times Cited: 180
A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future
Shubhkirti Sharma, Vijay Kumar
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5605-5633
Closed Access | Times Cited: 137
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling
Shufen Qin, Chaoli Sun, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 724-738
Open Access | Times Cited: 109
A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization
Fei Ming, Wenyin Gong, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 10, pp. 6222-6234
Closed Access | Times Cited: 70
Computer-aided multi-objective optimization in small molecule discovery
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 68
Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios
Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama
IEEE Access (2017) Vol. 5, pp. 19597-19619
Open Access | Times Cited: 91
A simple two-stage evolutionary algorithm for constrained multi-objective optimization
Fei Ming, Wenyin Gong, Huixiang Zhen, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107263-107263
Closed Access | Times Cited: 58
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems
Amirali Madani, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101262-101262
Closed Access | Times Cited: 38
A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization
Shuai Wang, Hui Wang, Zichen Wei, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111505-111505
Closed Access | Times Cited: 10
Many-objectives multilevel thresholding image segmentation using Knee Evolutionary Algorithm
Mohamed Abd Elaziz, Songfeng Lu
Expert Systems with Applications (2019) Vol. 125, pp. 305-316
Closed Access | Times Cited: 62
A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization
Ying Xu, Chong Xu, Huan Zhang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 11, pp. 6998-7007
Closed Access | Times Cited: 31
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization
Shulei Liu, Handing Wang, Wen Yao, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 132-146
Closed Access | Times Cited: 17
Cooperative constrained multi-objective dual-population evolutionary algorithm for optimal dispatching of wind-power integrated power system
Zhen Zhang, Huifeng Zhang, Yazhang Tian, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101525-101525
Closed Access | Times Cited: 6
A survey on sparrow search algorithms and their applications
Jiankai Xue, Bo Shen
International Journal of Systems Science (2023) Vol. 55, Iss. 4, pp. 814-832
Closed Access | Times Cited: 13
A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization
Jiaxin Chen, Jinliang Ding, Ke Li, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 7, pp. 4177-4189
Closed Access | Times Cited: 4
A Many-Objective Particle Swarm Optimizer With Leaders Selected From Historical Solutions by Using Scalar Projections
Yi Xiang, Yuren Zhou, Zefeng Chen, et al.
IEEE Transactions on Cybernetics (2018) Vol. 50, Iss. 5, pp. 2209-2222
Closed Access | Times Cited: 32
Availability-Aware and Energy-Efficient Virtual Cluster Allocation Based on Multi-Objective Optimization in Cloud Datacenters
Xuan Liu, Bo Cheng, Shangguang Wang
IEEE Transactions on Network and Service Management (2020) Vol. 17, Iss. 2, pp. 972-985
Closed Access | Times Cited: 29
Scalable and customizable benchmark problems for many-objective optimization
Ivan Reinaldo Meneghini, Marcos Antônio Alves, A. Gaspar‐Cunha, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106139-106139
Open Access | Times Cited: 28
An overview on evolutionary algorithms for many‐objective optimization problems
Christian von Lücken, Carlos A. Brizuela, Benjamı́n Barán
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 25
Optimal Foraging Algorithm That Incorporates Fuzzy Relative Entropy for Solving Many-Objective Permutation Flow Shop Scheduling Problems
Guangyu Zhu, Ding Chen, Weibo Zhang
IEEE Transactions on Fuzzy Systems (2020) Vol. 28, Iss. 11, pp. 2738-2746
Closed Access | Times Cited: 22
Review of the Research Landscape of Multi-Criteria Evaluation and Benchmarking Processes for Many-Objective Optimization Methods: Coherent Taxonomy, Challenges and Recommended Solution
R. T. Mohammed, Razali Yaakob, A. A. Zaidan, et al.
International Journal of Information Technology & Decision Making (2020) Vol. 19, Iss. 06, pp. 1619-1693
Closed Access | Times Cited: 21
An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization
Vikas Palakonda, Jae‐Mo Kang, Heechul Jung
Information Sciences (2022) Vol. 607, pp. 126-152
Closed Access | Times Cited: 13
A decomposition and statistical learning based many-objective artificial bee colony optimizer
Jiajun Zhou, Liang Gao, Xifan Yao, et al.
Information Sciences (2019) Vol. 496, pp. 82-108
Closed Access | Times Cited: 20
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