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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:

Distributed scheduling problems in intelligent manufacturing systems
Yaping Fu, Yushuang Hou, Zifan Wang, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 625-645
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

A long short‐term memory‐based model for greenhouse climate prediction
Yuwen Liu, Dejuan Li, Shaohua Wan, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 1, pp. 135-151
Open Access | Times Cited: 156
Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries
Dezhi Li, Dongfang Yang, Liwei Li, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6665-6665
Open Access | Times Cited: 132
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm
Han Xue, Yuyan Han, Qingda Chen, et al.
Complex System Modeling and Simulation (2021) Vol. 1, Iss. 3, pp. 198-217
Open Access | Times Cited: 109
Data-Driven ICA-Bi-LSTM-Combined Lithium Battery SOH Estimation
Hanlei Sun, Jianrui Sun, Kun Zhao, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 97
Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review
Dezhi Li, Licheng Wang, Chongxiong Duan, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 8, pp. 10372-10388
Closed Access | Times Cited: 92
An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory
Guangdong Tian, Cheng Zhang, Amir M. Fathollahi‐Fard, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 7148-7159
Closed Access | Times Cited: 89
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
Jingcao Cai, Deming Lei, Jing Wang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 4, pp. 1233-1251
Closed Access | Times Cited: 79
Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning
Xiaohan Wang, Zhang Li, Ting-Yu Lin, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102324-102324
Closed Access | Times Cited: 74
A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, et al.
Complex System Modeling and Simulation (2023) Vol. 3, Iss. 1, pp. 32-46
Open Access | Times Cited: 51
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems
Yaxian Ren, Kaizhou Gao, Yaping Fu, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101338-101338
Closed Access | Times Cited: 50
A Learning-Driven Multi-Objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110484-110484
Closed Access | Times Cited: 28
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101467-101467
Closed Access | Times Cited: 25
Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey
Kaizhou Gao, Minglong Gao, MengChu Zhou, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101505-101505
Closed Access | Times Cited: 24
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 19
Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation
Yaping Fu, Kaizhou Gao, Ling Wang, et al.
International Journal of Production Research (2024), pp. 1-18
Closed Access | Times Cited: 18
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows
Yushuang Hou, Yaping Fu, Kaizhou Gao, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115827-115827
Closed Access | Times Cited: 68
Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 361-371
Closed Access | Times Cited: 68
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem
Fuqing Zhao, Zesong Xu, Ling Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6692-6705
Closed Access | Times Cited: 62
Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Expert Systems with Applications (2022) Vol. 214, pp. 119151-119151
Closed Access | Times Cited: 60
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
Hui Yu, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101335-101335
Closed Access | Times Cited: 43
Deep Reinforcement Learning for Distributed Flow Shop Scheduling with Flexible Maintenance
Qi Yan, Wenbin Wu, Hongfeng Wang
Machines (2022) Vol. 10, Iss. 3, pp. 210-210
Open Access | Times Cited: 41
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
Zhongshi Shao, Weishi Shao, Dechang Pi
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 111-127
Closed Access | Times Cited: 40
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance
Yanhe Jia, Qi Yan, Hongfeng Wang
Expert Systems with Applications (2023) Vol. 232, pp. 120837-120837
Closed Access | Times Cited: 40
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
Minglong Gao, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 82, pp. 101358-101358
Closed Access | Times Cited: 36
Multi-Objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness
Yushuang Hou, Hongfeng Wang, Yaping Fu, et al.
Computers & Industrial Engineering (2023) Vol. 179, pp. 109217-109217
Closed Access | Times Cited: 34
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