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:

A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems
Boyang Qu, Chao Li, Jing Liang, et al.
Applied Soft Computing (2019) Vol. 86, pp. 105886-105886
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Multimodal multi-objective optimization: Comparative study of the state-of-the-art
Wenhua Li, Tao Zhang, Rui Wang, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101253-101253
Open Access | Times Cited: 77

A modified particle swarm optimization for multimodal multi-objective optimization
XuWei Zhang, Hao Liu, Liangping Tu
Engineering Applications of Artificial Intelligence (2020) Vol. 95, pp. 103905-103905
Closed Access | Times Cited: 124

A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
Jing Liang, Kangjia Qiao, Caitong Yue, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100788-100788
Closed Access | Times Cited: 120

MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems
M. Premkumar, Pradeep Jangir, R. Sowmya
Knowledge-Based Systems (2021) Vol. 218, pp. 106856-106856
Closed Access | Times Cited: 88

Competition-Driven Multimodal Multiobjective Optimization and Its Application to Feature Selection for Credit Card Fraud Detection
Shoufei Han, Kun Zhu, MengChu Zhou, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 12, pp. 7845-7857
Closed Access | Times Cited: 58

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: 33

Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization
Yong Wang, Zhen Liu, Gai‐Ge Wang
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101232-101232
Closed Access | Times Cited: 26

Multi-objective Mantis Search Algorithm (MOMSA): A novel approach for engineering design problems and validation
Mohammed Jameel, Mohamed Abouhawwash
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 422, pp. 116840-116840
Closed Access | Times Cited: 13

A particle swarm optimization algorithm based on modified crowding distance for multimodal multi-objective problems
Da Feng, Yan Li, Jianchang Liu, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111280-111280
Closed Access | Times Cited: 10

A multi-modal multi-objective evolutionary algorithm based on scaled niche distance
Jie Cao, Zhi Qi, Zuohan Chen, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111226-111226
Closed Access | Times Cited: 9

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: 9

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization
Jing Liang, Hongyu Lin, Caitong Yue, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1458-1475
Closed Access | Times Cited: 7

Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning
Yi Hu, Boyang Qu, Jie Wang, et al.
Applied Energy (2021) Vol. 285, pp. 116415-116415
Closed Access | Times Cited: 45

Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy
Wanliang Wang, Guoqing Li, Yule Wang, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 100976-100976
Closed Access | Times Cited: 41

A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems
Yi Hu, Jie Wang, Jing Liang, et al.
Applied Soft Computing (2022) Vol. 119, pp. 108606-108606
Closed Access | Times Cited: 36

A grid-guided particle swarm optimizer for multimodal multi-objective problems
Boyang Qu, Guosen Li, Yan Li, et al.
Applied Soft Computing (2022) Vol. 117, pp. 108381-108381
Closed Access | Times Cited: 35

A dynamic-speciation-based differential evolution with ring topology for constrained multimodal multi-objective optimization
Guoqing Li, Weiwei Zhang, Caitong Yue, et al.
Information Sciences (2024) Vol. 677, pp. 120879-120879
Closed Access | Times Cited: 6

Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning
Zhenhua Miao, Wentao Huang, Yilian Zhang, et al.
Journal of Shanghai Jiaotong University (Science) (2024) Vol. 29, Iss. 3, pp. 377-387
Closed Access | Times Cited: 5

Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis
Xiongyan Yang, Xianfeng Yuan, Lin Dong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108040-108040
Closed Access | Times Cited: 5

MORKO: A Multi-objective Runge–Kutta Optimizer for Multi-domain Optimization Problems
Kanak Kalita, Pradeep Jangir, Sundaram B. Pandya, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access

A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems
M. Gowri Shankar, Palaniappan Ramu, Kalyanmoy Deb
Applied Soft Computing (2025), pp. 112862-112862
Closed Access

A novel grey prediction evolution algorithm for multimodal multiobjective optimization
Ting Zhou, Zhongbo Hu, Quan Zhou, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104173-104173
Closed Access | Times Cited: 39

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: 32

A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization
Zhongbo Hu, Ting Zhou, Qinghua Su, et al.
Swarm and Evolutionary Computation (2022) Vol. 69, pp. 101031-101031
Closed Access | Times Cited: 26

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