Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Pareto-Based Discrete Jaya Algorithm for Multiobjective Carbon-Efficient Distributed Blocking Flow Shop Scheduling Problem
Fuqing Zhao, Hui Zhang, Ling Wang
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 8588-8599
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Human–Robot Collaborative Scheduling in Energy-Efficient Welding Shop
Chao Lu, Ren Gao, Lvjiang Yin, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 963-971
Closed Access | Times Cited: 58
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19
Improved Jaya algorithm for energy-efficient distributed heterogeneous permutation flow shop scheduling
Qiwen Zhang, Zhen Tian
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1
Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks
Hadi Gholami, Hongyang Sun
Knowledge-Based Systems (2023) Vol. 264, pp. 110309-110309
Closed Access | Times Cited: 26
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem
Jiang‐Ping Huang, Liang Gao, Xinyu Li
Expert Systems with Applications (2023) Vol. 238, pp. 121756-121756
Closed Access | Times Cited: 21
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: 10
Scheduling and Logistics Optimization for Batch Manufacturing Processes With Temperature Constraints and Alternative Thermal Devices
Ziyan Zhao, Zikuo Bian, Jiaqi Liang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11930-11939
Closed Access | Times Cited: 8
A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0
Xiao Chang, Xiaoliang Jia, Jiahao Ren
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 7
IBJA: An improved binary DJaya algorithm for feature selection
Bilal H. Abed-alguni, Saqer Hamzeh AL-Jarah
Journal of Computational Science (2023) Vol. 75, pp. 102201-102201
Closed Access | Times Cited: 18
Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments
Bingtao Wang, Quan-Ke Pan, Liang Gao, et al.
Journal of Manufacturing Systems (2024) Vol. 72, pp. 519-535
Closed Access | Times Cited: 6
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
Yu Xue, Chenyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101760-101760
Closed Access | Times Cited: 5
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction
Wei Zhang, Shaofeng Yan, Hongtao Tang, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101843-101843
Closed Access
An Inverse Reinforcement Learning Algorithm with Population Evolution Mechanism for The Multi-objective Flexible Job-shop Scheduling Problem under Time-of-use Electricity Tariffs
Fuqing Zhao, Weiyuan Wang, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112764-112764
Closed Access
A hybrid Prairie INFO fission naked algorithm with stagnation mechanism for the parametric estimation of solar photovoltaic systems
Pankaj Sharma, Rohit Salgotra, R. Saravanakumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A feature based neural network model for distributed flexible flow shop scheduling considering worker and transportation factors
Tianpeng Xu, Fuqing Zhao, Jianlin Zhang, et al.
Computers & Industrial Engineering (2025), pp. 110917-110917
Closed Access
Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling
XuWei Zhang, Ziyan Zhao, Shujin Qin, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101884-101884
Closed Access
F-CAPSO: Fuzzy chaos adaptive particle swarm optimization for energy-efficient and secure data transmission in MANET
Mitha Rachel Jose, S. Maria Celestin Vigila
Expert Systems with Applications (2023) Vol. 234, pp. 120944-120944
Closed Access | Times Cited: 13
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Yushuang Hou, Hongfeng Wang, Xiaoliang Huang
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107434-107434
Closed Access | Times Cited: 13
An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems
Dikshit Chauhan, Anupam Yadav
Applied Soft Computing (2023) Vol. 150, pp. 111109-111109
Closed Access | Times Cited: 13
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
Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing
Bastian Engelmann, Anna-Maria Schmitt, Lukas Theilacker, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 4
Real-time stochastic flexible flow shop scheduling in a credit factory with model-based reinforcement learning
Liao Chen, Hongjia Liu, Ning Jia, et al.
International Journal of Production Research (2024), pp. 1-20
Closed Access | Times Cited: 4
Energy-aware intelligent scheduling for deadline-constrained workflows in sustainable cloud computing
Min Cao, Yaoyu Li, Xupeng Wen, et al.
Egyptian Informatics Journal (2023) Vol. 24, Iss. 2, pp. 277-290
Open Access | Times Cited: 11
Active learning based hyper-heuristic for the integration of production and Transportation: A third-party logistics perspective
Zuocheng Li, Ling Bai, Bin Qian, et al.
Computers & Industrial Engineering (2024) Vol. 194, pp. 110381-110381
Closed Access | Times Cited: 3
Knowledge-Based Lot-Splitting Optimization Method for Flexible Job Shops Considering Energy Consumption
Zhiqiang Tian, Xingyu Jiang, Guangdong Tian, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 4864-4875
Closed Access | Times Cited: 9
Page 1 - Next Page

Scroll to top