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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:

A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
Haoxiang Qin, Yuyan Han, Yiping Liu, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117256-117256
Closed Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing
Jiaming Su, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101373-101373
Closed Access | Times Cited: 15
A hybrid genetic algorithm for distributed hybrid blocking flowshop scheduling problem
Xueyan Sun, Weiming Shen, Birgit Vogel‐Heuser
Journal of Manufacturing Systems (2023) Vol. 71, pp. 390-405
Closed Access | Times Cited: 15
Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm
Yong Wang, Yuting Wang, Yuyan Han, et al.
Complex System Modeling and Simulation (2023) Vol. 3, Iss. 4, pp. 282-306
Open Access | Times Cited: 13
Digital-twin-based job shop multi-objective scheduling model and strategy
Y. Zhou, Liyun Xu, Xufeng Ling, et al.
International Journal of Computer Integrated Manufacturing (2023) Vol. 37, Iss. 1-2, pp. 87-107
Closed Access | Times Cited: 12
An artificial immune differential evolution algorithm for scheduling a distributed heterogeneous flexible flowshop
Hua Xuan, Wenting Li, Bing Li
Applied Soft Computing (2023) Vol. 145, pp. 110563-110563
Closed Access | Times Cited: 10
A tabu memory based iterated greedy algorithm for the distributed heterogeneous permutation flowshop scheduling problem with the total tardiness criterion
Xiaobing Feng, Fei Zhao, Gedong Jiang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121790-121790
Closed Access | Times Cited: 10
A Novel Evolutionary Algorithm for Scheduling Distributed No-Wait Flow Shop Problems
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3694-3704
Closed Access | Times Cited: 3
Two-stage learning scatter search algorithm for the distributed hybrid flow shop scheduling problem with machine breakdown
Yang Zuo, Fuqing Zhao, Yang Yu
Expert Systems with Applications (2024) Vol. 259, pp. 125344-125344
Closed Access | Times Cited: 3
A Shuffled Frog-Leaping Algorithm with Cooperations for Distributed Assembly Hybrid-Flow Shop Scheduling with Factory Eligibility
Deming Lei, Tao Dai
Symmetry (2023) Vol. 15, Iss. 4, pp. 786-786
Open Access | Times Cited: 9
An effective adaptive iterated greedy algorithm for a cascaded flowshop joint scheduling problem
Chuang Wang, Quan-Ke Pan, Xue-Lei Jing
Expert Systems with Applications (2023) Vol. 238, pp. 121856-121856
Closed Access | Times Cited: 9
An effective population-based iterated greedy algorithm for solving the multi-AGV scheduling problem with unloading safety detection
Wenqiang Zou, Jiazhen Zou, Hongyan Sang, et al.
Information Sciences (2023) Vol. 657, pp. 119949-119949
Closed Access | Times Cited: 9
An Integrated Flow Shop Scheduling Problem of Preventive Maintenance and Degradation With an Improved NSGA-II Algorithm
Yang Liu, Xiaofeng Wang, Yun Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 3525-3544
Open Access | Times Cited: 8
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
Yuanzhen Li, Kaizhou Gao, Leilei Meng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107011-107011
Closed Access | Times Cited: 8
Optimizing distributed reentrant heterogeneous hybrid flowshop batch scheduling problem: Iterative construction-local search-reconstruction algorithm
Peng He, Biao Zhang, Chao Lu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101681-101681
Closed Access | Times Cited: 2
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Liping Zhang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125690-125690
Closed Access | Times Cited: 2
A novel hybrid archimedes optimization algorithm for energy-efficient hybrid flow shop scheduling
Dana Marsetiya Utama, Ayu An Putri Salima, Dian Setiya Widodo
International Journal of Advances in Intelligent Informatics (2022) Vol. 8, Iss. 2, pp. 237-237
Open Access | Times Cited: 12
A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Ling Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111295-111295
Closed Access | Times Cited: 7
A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion: Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows
Qianhui Ji, Yuyan Han, Yuting Wang, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 2, pp. 137-165
Open Access | Times Cited: 2
A Variant Iterated Greedy Algorithm Integrating Multiple Decoding Rules for Hybrid Blocking Flow Shop Scheduling Problem
Yong Wang, Yuting Wang, Yuyan Han
Mathematics (2023) Vol. 11, Iss. 11, pp. 2453-2453
Open Access | Times Cited: 6
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance
Wenqiang Zou, Yang Li, Hongyan Sang, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101413-101413
Closed Access | Times Cited: 5
Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm
Qiang Luo, Qianwang Deng, Huining Zhuang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 87, pp. 102707-102707
Closed Access | Times Cited: 5
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots
Benxue Lu, Kaizhou Gao, Yaxian Ren, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101731-101731
Closed Access | Times Cited: 1
A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem
Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112124-112124
Closed Access | Times Cited: 1
Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling
Veera Babu Ramakurthi, Vijaya Kumar Manupati, Leonilde Varela, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3283-3283
Open Access | Times Cited: 2
An Evaluation of Mathematical Programming and Lower-Bound Methods for Hybrid Flow Shop Problems With a Makespan Criterion
Yarong Chen, Ya-Chih Tsai, Fuh‐Der Chou
IEEE Access (2023) Vol. 11, pp. 41368-41386
Open Access | Times Cited: 2

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