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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:

Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences
Teodoro Macias-Escobar, Laura Cruz–Reyes, Héctor J. Fraire-Huacuja, et al.
Future Generation Computer Systems (2019) Vol. 110, pp. 864-875
Closed Access | Times Cited: 13

Showing 13 citing articles:

Evolutionary Dynamic Multi-objective Optimisation: A Survey
Shouyong Jiang, Juan Zou, Shengxiang Yang, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-47
Open Access | Times Cited: 68
A Survey on Search Strategy of Evolutionary Multi-Objective Optimization Algorithms
Zitong Wang, Yan Pei, Jianqiang Li
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4643-4643
Open Access | Times Cited: 34
Pigeon-inspired fuzzy multi-objective task allocation of unmanned aerial vehicles for multi-target tracking
Chaofang Hu, Ge Qu, Yuting Zhang
Applied Soft Computing (2022) Vol. 126, pp. 109310-109310
Closed Access | Times Cited: 19
A dynamic multi-objective evolutionary algorithm with variable stepsize and dual prediction strategies
Hu Peng, Chen Pi, Jianpeng Xiong, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 390-403
Closed Access | Times Cited: 3
Improved NSGA-III with Second-Order Difference Random Strategy for Dynamic Multi-Objective Optimization
Haijuan Zhang, Gai‐Ge Wang, Junyu Dong, et al.
Processes (2021) Vol. 9, Iss. 6, pp. 911-911
Open Access | Times Cited: 11
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences
Gilberto Rivera, Laura Cruz–Reyes, Eduardo Fernández, et al.
Swarm and Evolutionary Computation (2022) Vol. 76, pp. 101211-101211
Open Access | Times Cited: 6
A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection
Maciej Nowak, Tadeusz Trzaskalik
Annals of Operations Research (2021) Vol. 311, Iss. 2, pp. 1155-1181
Closed Access | Times Cited: 8
Challenges Applying Dynamic Multi-objective Optimisation Algorithms to Real-World Problems
Mardé Helbig
Women in engineering and science (2022), pp. 353-375
Closed Access | Times Cited: 3
Interactive α-satisfactory method for multi-objective optimization with fuzzy parameters and linguistic preference
Chaofang Hu, Yuting Zhang
Journal of Intelligent & Fuzzy Systems (2020) Vol. 40, Iss. 3, pp. 5307-5322
Closed Access | Times Cited: 1
Dynamic Multi-Objective Evolutionary Algorithms: An Overview
Elaine Guerrero-Peña, A.F.R. Araujo, Cícero Garrozi
Learning and Nonlinear Models (2023) Vol. 21, Iss. 2, pp. 55-82
Open Access
The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
Kejia He, Hongyu Cheng, Yuchen Zhou, et al.
Journal of Function Spaces (2022) Vol. 2022, pp. 1-9
Open Access
Dynamic Multi-objective Optimization Using Computational Intelligence Algorithms
Mardé Helbig
Lecture notes on data engineering and communications technologies (2022), pp. 41-62
Closed Access
A Study on the Use of Hyper-heuristics Based on Meta-Heuristics for Dynamic Optimization
Teodoro Macias-Escobar, Laura Cruz–Reyes, Bernabé Dorronsoro
Studies in computational intelligence (2021), pp. 295-314
Closed Access
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