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:

Handling multimodal multi-objective problems through self-organizing quantum-inspired particle swarm optimization
Guoqing Li, Wanliang Wang, Weiwei Zhang, et al.
Information Sciences (2021) Vol. 577, pp. 510-540
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 474-486
Closed Access | Times Cited: 39

Multi-modal multi-objective particle swarm optimization with self-adjusting strategy
Honggui Han, Yu-Cheng Liu, Ying Hou, et al.
Information Sciences (2023) Vol. 629, pp. 580-598
Closed Access | Times Cited: 35

Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization
Wenhua Li, Xingyi Yao, Kaiwen Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 7, pp. 1544-1556
Open Access | Times Cited: 28

Two-stage evolutionary algorithm with fuzzy preference indicator for multimodal multi-objective optimization
Yinghong Xie, Junhua Li, Y Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101480-101480
Closed Access | Times Cited: 14

Quantum particle swarm optimization algorithm with the truncated mean stabilization strategy
Nanrun Zhou, Xia Shu-hua, Yan Ma, et al.
Quantum Information Processing (2022) Vol. 21, Iss. 2
Closed Access | Times Cited: 36

Clustering-based evolutionary algorithm for constrained multimodal multi-objective optimization
Guoqing Li, Weiwei Zhang, Caitong Yue, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101714-101714
Closed Access | Times Cited: 6

An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization
Jialiang Zhang, Juan Zou, Shengxiang Yang, et al.
Information Sciences (2022) Vol. 619, pp. 908-929
Open Access | Times Cited: 28

A clustering differential evolution algorithm with neighborhood-based dual mutation operator for multimodal multiobjective optimization
Ting Zhou, Zhongbo Hu, Qinghua Su, et al.
Expert Systems with Applications (2022) Vol. 216, pp. 119438-119438
Closed Access | Times Cited: 24

Evolutionary self-organizing fuzzy system using fuzzy-classification-based social learning particle swarm optimization
Tao Zhao, Chengsen Chen, Hongyi Cao
Information Sciences (2022) Vol. 606, pp. 92-111
Closed Access | Times Cited: 21

A review of recent advances in quantum-inspired metaheuristics
Shahin Hakemi, Mahboobeh Houshmand, Esmaeil KheirKhah, et al.
Evolutionary Intelligence (2022) Vol. 17, Iss. 2, pp. 627-642
Open Access | Times Cited: 20

Two-stage adaptive differential evolution with dynamic dual-populations for multimodal multi-objective optimization with local Pareto solutions
Guoqing Li, Wanliang Wang, Caitong Yue, et al.
Information Sciences (2023) Vol. 644, pp. 119271-119271
Closed Access | Times Cited: 12

Multi-objective quantum hybrid evolutionary algorithms for enhancing quality-of-service in internet of things
Shailendra Pratap Singh, Gyanendra Kumar, Umakant Ahirwar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization
Yu Sun, Yuqing Chang, Shengxiang Yang, et al.
Information Sciences (2023) Vol. 653, pp. 119794-119794
Closed Access | Times Cited: 10

Energy and QoS-aware virtual machine placement approach for IaaS cloud datacenter
E. I. Elsedimy, Mostafa Herajy, Sara M. M. AboHashish
Neural Computing and Applications (2025)
Open Access

A multi-modal multi-objective evolutionary algorithm based on dual decomposition and subset selection
Minghui Xiong, Wei Xiong, Zheng Liu, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101431-101431
Closed Access | Times Cited: 9

A novel multimodal multi-objective differential evolution algorithm based on nearest neighbor-repulsion strategy
Yingjuan Jia, Liangdong Qu, Xiaoqin Li
Information Sciences (2024) Vol. 676, pp. 120832-120832
Closed Access | Times Cited: 3

A cluster-based immune-inspired algorithm using manifold learning for multimodal multi-objective optimization
Weiwei Zhang, Ningjun Zhang, Weizheng Zhang, et al.
Information Sciences (2021) Vol. 581, pp. 304-326
Closed Access | Times Cited: 18

A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering
Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 2018-2018
Open Access | Times Cited: 6

Trajectory Planning in Robot Joint Space Based on Improved Quantum Particle Swarm Optimization Algorithm
Lan Luo, Tongbin Guo, Kangkang Cui, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7031-7031
Open Access | Times Cited: 6

Competitive swarm optimization with subset selection based manifold learning for multimodal multi-objective optimization
Weiwei Zhang, Yan Fan, Gary G. Yen, et al.
Information Sciences (2023) Vol. 654, pp. 119860-119860
Closed Access | Times Cited: 6

Topological clustering particle swarm optimizer based on adaptive resonance theory for multimodal multi-objective problems
Qi Yao, Shunkun Yang, Qi Shao, et al.
Information Sciences (2024) Vol. 679, pp. 121106-121106
Closed Access | Times Cited: 1

A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization
Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Open Access | Times Cited: 7

Trading in the Quantum Era: optimizing Bitcoin gains and energy costs
Simona‐Vasilica Oprea, Adela Bârã, Cristian Bucur, et al.
Journal of Applied Economics (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 1

On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids
Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, et al.
Information Sciences (2022) Vol. 622, pp. 873-888
Open Access | Times Cited: 6

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