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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:

Recent advances in selection hyper-heuristics
John H. Drake, Ahmed Kheiri, Ender Özcan, et al.
European Journal of Operational Research (2019) Vol. 285, Iss. 2, pp. 405-428
Open Access | Times Cited: 255

Showing 26-50 of 255 citing articles:

A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem
Erick Rodrí­guez-Esparza, Antonio D. Masegosa, Diego Oliva, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124197-124197
Open Access | Times Cited: 8
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems
Melissa Sanchez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
IEEE Access (2020) Vol. 8, pp. 128068-128095
Open Access | Times Cited: 59
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Bara’a A. Attea, Amenah D. Abbood, Ammar A. Hasan, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100885-100885
Closed Access | Times Cited: 54
Hyper-Heuristics to customise metaheuristics for continuous optimisation
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100935-100935
Closed Access | Times Cited: 51
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling
Lixin Cheng, Qiuhua Tang, Liping Zhang, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 100985-100985
Closed Access | Times Cited: 48
A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling
Salama Shady, Toshiya Kaihara, Nobutada Fujii, et al.
International Journal of Production Research (2022) Vol. 60, Iss. 13, pp. 4025-4048
Closed Access | Times Cited: 36
The intersection of evolutionary computation and explainable AI
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1757-1762
Open Access | Times Cited: 33
A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends
Chong Man Ngoo, Say Leng Goh, San Nah Sze, et al.
IEEE Access (2022) Vol. 10, pp. 56504-56524
Open Access | Times Cited: 29
Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning
Cristiane Ferreira, Gonçalo Figueira, Pedro Amorim
Omega (2022) Vol. 111, pp. 102643-102643
Open Access | Times Cited: 28
A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems
Chaofan Tu, Ruibin Bai, Uwe Aickelin, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120568-120568
Open Access | Times Cited: 20
Parallel hyper heuristic algorithm based on reinforcement learning for the corridor allocation problem and parallel row ordering problem
Junqi Liu, Zeqiang Zhang, Silu Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101977-101977
Closed Access | Times Cited: 16
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
Rong Hu, Yu-Fang Huang, Xing Wu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101498-101498
Closed Access | Times Cited: 6
Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’
Gianfranco Chicco, Andrea Mazza
Energies (2020) Vol. 13, Iss. 19, pp. 5097-5097
Open Access | Times Cited: 43
Decomposition-based hyperheuristic approaches for the bi-objective cold chain considering environmental effects
Longlong Leng, Jingling Zhang, Chunmiao Zhang, et al.
Computers & Operations Research (2020) Vol. 123, pp. 105043-105043
Closed Access | Times Cited: 40
Green Vehicle Routing Problem: State of the Art and Future Directions
Saba Sabet, Bilal Farooq
IEEE Access (2022) Vol. 10, pp. 101622-101642
Open Access | Times Cited: 27
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion
Fuqing Zhao, Shilu Di, Ling Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105418-105418
Closed Access | Times Cited: 23
Multi-objective closed-loop green supply chain model with disruption risk
Kazi Wahadul Hasan, Syed Mithun Ali, Sanjoy Kumar Paul, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110074-110074
Closed Access | Times Cited: 15
An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems
Saleh Masoud Abdallah Altbawi, S.N. Khalid, Ahmad Safawi Mokhtar, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 498-498
Open Access | Times Cited: 15
A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing
Youxi Hu, Chao Liu, Ming Zhang, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1652-1652
Open Access | Times Cited: 13
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm
Yuxin Zhang, Min Huang, Zheming Gao, et al.
International Journal of Production Research (2024), pp. 1-31
Closed Access | Times Cited: 5
A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems
Cornelius Rüther, Julia Rieck
Logistics (2024) Vol. 8, Iss. 1, pp. 14-14
Open Access | Times Cited: 4
A Monte Carlo hyper-heuristic algorithm with low-level heuristics reward prediction for missile path planning
Shuangfei Xu, Zhanjun Huang, Wenhao Bi, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Integrated scheduling of material delivery and processing
Jinlong Zheng, Yixin Zhao, Jianfeng Li, et al.
Computers & Industrial Engineering (2025), pp. 110863-110863
Closed Access
Explainable Benchmarking for Iterative Optimization Heuristics
Bas van Stein, Diederick Vermetten, Anna V. Kononova, et al.
ACM Transactions on Evolutionary Learning and Optimization (2025)
Open Access

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