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:

MEALPY: An open-source library for latest meta-heuristic algorithms in Python
Nguyen Van Thieu, Seyedali Mirjalili
Journal of Systems Architecture (2023) Vol. 139, pp. 102871-102871
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

SITW Method: A New Approach to Re-identifying Multi-criteria Weights in Complex Decision Analysis
Bartłmiej Kizielewicz, Wojciech Sałabun
Spectrum of Mechanical Engineering and Operational Research. (2024) Vol. 1, Iss. 1, pp. 215-226
Open Access | Times Cited: 37

SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems
Rui Zhong, Jun Yu, Chengqi Zhang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6721-6740
Closed Access | Times Cited: 33

Hydrogen Penetration in Textile Industry: A Hybrid Renewable Energy System, Evolution Programming and Feasibility Analysis
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi
Energy (2025), pp. 134785-134785
Closed Access | Times Cited: 3

Transfer learning framework for modelling the compressive strength of ultra-high performance geopolymer concrete
Ho Anh Thu Nguyen, Duy Hoang Pham, Anh Tuấn Lê, et al.
Construction and Building Materials (2025) Vol. 459, pp. 139746-139746
Closed Access | Times Cited: 2

Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization
Rui Zhong, Fei Peng, Jun Yu, et al.
Alexandria Engineering Journal (2023) Vol. 87, pp. 148-163
Open Access | Times Cited: 26

Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization
Rui Zhong, Qinqin Fan, Chao Zhang, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 10141-10168
Closed Access | Times Cited: 13

Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms
Gyeongho Kim, S W Park, Jae Gyeong Choi, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 51, pp. 20-35
Closed Access | Times Cited: 11

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12186-12217
Closed Access | Times Cited: 10

A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization
Rui Zhong, Jun Yu
Cluster Computing (2024)
Closed Access | Times Cited: 9

Metaheuristics for pruning convolutional neural networks: A comparative study
Vikas Palakonda, Jamshid Tursunboev, Jae‐Mo Kang, et al.
Expert Systems with Applications (2025), pp. 126326-126326
Closed Access | Times Cited: 1

Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristic in a real-world application
Miguel Ángel Castán-Lascorz, A. Moreno, J. Arroyo
Results in Engineering (2025), pp. 103945-103945
Open Access | Times Cited: 1

Estimation of the shear strength of UHPC beams via interpretable deep learning models: Comparison of different optimization techniques
Faruk Ergen, Metin Katlav
Materials Today Communications (2024) Vol. 40, pp. 109394-109394
Closed Access | Times Cited: 8

Feature selection using metaheuristics made easy: Open source MAFESE library in Python
Nguyen Van Thieu, Ngoc Hung Nguyen, Ali Asghar Heidari
Future Generation Computer Systems (2024) Vol. 160, pp. 340-358
Closed Access | Times Cited: 8

Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training
Rui Zhong, Chao Zhang, Jun Yu
Alexandria Engineering Journal (2024) Vol. 110, pp. 77-98
Open Access | Times Cited: 8

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
Nguyen Van Thieu, Ngoc Hung Nguyen, Mohsen Sherif, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm
Lukáš Klein, Ivan Zelinka, David Seidl
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101487-101487
Open Access | Times Cited: 6

Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics
Diederick Vermetten, Carola Doerr, Hao Wang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 41-49
Open Access | Times Cited: 6

A novel paradigm: Addressing real-time decomposition challenges in carbon price prediction
Yifan Xu, Jinxing Che, Wenxin Xia, et al.
Applied Energy (2024) Vol. 364, pp. 123126-123126
Closed Access | Times Cited: 6

Bilinear optimization of protein structure prediction: An exact approach via AB off-lattice model
Luiza Scapinello Aquino da Silva, Laio Oriel Seman, Eduardo Camponogara, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108558-108558
Closed Access | Times Cited: 6

SESP-SPOTIS: Advancing Stochastic Approach for Re-identifying MCDA Models
Bartłomiej Kizielewicz, Jakub Więckowski, Wojciech Sałabun
Lecture notes in computer science (2024), pp. 281-295
Closed Access | Times Cited: 6

Surrogate-assisted metaheuristics for the facility location problem with distributed demands on network edges
Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, et al.
Computers & Industrial Engineering (2024) Vol. 188, pp. 109931-109931
Closed Access | Times Cited: 4

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