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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:

Local Model-Based Pareto Front Estimation for Multiobjective Optimization
Ye Tian, Langchun Si, Xingyi Zhang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 1, pp. 623-634
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 53
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization
Fei Ming, Wenyin Gong, Yaochu Jin
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101541-101541
Closed Access | Times Cited: 13
Even Search in a Promising Region for Constrained Multi-Objective Optimization
Fei Ming, Wenyin Gong, Yaochu Jin
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 474-486
Closed Access | Times Cited: 12
A multi-objective evolutionary algorithm based on dimension exploration and discrepancy evolution for UAV path planning problem
Xiuju Xu, Chengyu Xie, Zong-Fu Luo, et al.
Information Sciences (2023) Vol. 657, pp. 119977-119977
Closed Access | Times Cited: 22
Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization
Shuai Shao, Ye Tian, Xingyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101606-101606
Closed Access | Times Cited: 8
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts
Xiaoyu Zhong, Xiangjuan Yao, Dunwei Gong, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101566-101566
Closed Access | Times Cited: 5
A constrained multi-objective evolutionary algorithm with Pareto estimation via neural network
Zongli Liu, Peng Zhao, Jie Cao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121718-121718
Closed Access | Times Cited: 12
Improved dynamic programming method for solving multi-objective and multi-stage decision-making problems
Zhihao Liang, Kegang Zhao, Kunyang He, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Special Point-Guided Surrogate-Assisted Multi-Objective Evolutionary Algorithm for Complex Pareto Fronts
Chunlin He, Zhang Yon, Dunwei Gong, et al.
(2025)
Closed Access
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update
Liangying Wang, L. Jeff Hong, Huirong Fu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101890-101890
Closed Access
Ensemble of neighborhood search operators for decomposition-based multi-objective evolutionary optimization
Chunlei Li, Libao Deng, Liyan Qiao, et al.
Expert Systems with Applications (2025), pp. 127227-127227
Closed Access
Multi-objective optimization of empty train allocation using a Fast Surrogate-Assist Evolutionary Algorithm Based on incremental learning
Zhi-Gang Du, Shaoquan Ni, Jeng‐Shyang Pan, et al.
Expert Systems with Applications (2025), pp. 127505-127505
Closed Access
Efficient configuration of high-dimensional hyperparameters in deep convolutional neural networks for classification assisted by surrogate models
Rui Zhang, Yuanyuan Zhang, Chaoli Sun, et al.
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101940-101940
Closed Access
A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling
J. Zhang, Haifeng Yue, Yongpeng Wang, et al.
Frontiers in Mechanical Engineering (2025) Vol. 11
Open Access
Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach
Shuai Wang, Aimin Zhou, Guixu Zhang, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 4, pp. 29-42
Closed Access | Times Cited: 8
A game theory based many-objective hybrid tensor decomposition for skin cancer prediction
Jianghui Cai, Jinqian Yang, Jie Wen, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122425-122425
Closed Access | Times Cited: 8
Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search
Chao Wang, Licheng Jiao, Jiaxuan Zhao, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 208-222
Open Access | Times Cited: 7
A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization
Wei Li, Yangtao Chen, Yuehua Dong, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101451-101451
Open Access | Times Cited: 7
A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization
Wei Zheng, Yanyan Tan, Zeyuan Yan, et al.
Information Sciences (2024) Vol. 677, pp. 120940-120940
Closed Access | Times Cited: 2
A switching competitive swarm optimizer for multi-objective optimization with irregular Pareto fronts
Xiangzhou Gao, Shenmin Song
Expert Systems with Applications (2024) Vol. 255, pp. 124641-124641
Closed Access | Times Cited: 2
When large language model meets optimization
Sen Huang, Kaixiang Yang, Sheng Qi, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101663-101663
Open Access | Times Cited: 2
Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization
Ye Tian, Lianjie Yao, Shuai Shao, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access | Times Cited: 2
Multi-objective sand cat swarm optimization based on adaptive clustering for solving multimodal multi-objective optimization problems
Yanbiao Niu, Xuefeng Yan, Weiping Zeng, et al.
Mathematics and Computers in Simulation (2024) Vol. 227, pp. 391-404
Closed Access | Times Cited: 2
A Novel Adaptive Bandit-Based Selection Hyper-Heuristic for Multiobjective Optimization
Shuyan Zhang, Tailong Yang, Jing Liang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7693-7706
Closed Access | Times Cited: 5
Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making
Tomoaki Takagi, Keiki Takadama, Hiroyuki Satō
IEEE Access (2023) Vol. 11, pp. 20619-20634
Open Access | Times Cited: 4
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