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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 review on learning to solve combinatorial optimisation problems in manufacturing
Cong Zhang, Yaoxin Wu, Yining Ma, et al.
IET Collaborative Intelligent Manufacturing (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Machine Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva, Meraryslan Meraliyev, Taukekhan Mustakhov, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 4754-4772
Closed Access | Times Cited: 12
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
Kuo‐Hao Ho, Jui-Yu Cheng, Ji-Han Wu, et al.
IEEE Access (2024) Vol. 12, pp. 14703-14718
Open Access | Times Cited: 7
Optimization of Material Flow and Product Allocation in Inter-Unit Operations: A Case Study of a Refrigerator Manufacturing Facility
Selman Karagöz, Yasin Karagöz
Logistics (2025) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem
Chupeng Su, Cong Zhang, Dan Xia, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110596-110596
Closed Access | Times Cited: 20
Graph neural networks for job shop scheduling problems: A survey
Igor G. Smit, Jianan Zhou, Robbert Reijnen, et al.
Computers & Operations Research (2024), pp. 106914-106914
Open Access | Times Cited: 5
Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning
Chupeng Su, Cong Zhang, Chuang Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101605-101605
Closed Access | Times Cited: 4
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
Meng Xu, Yi Mei, Fangfang Zhang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Research on vehicle path planning of automated guided vehicle with simultaneous pickup and delivery with mixed time windows
Zhengrui Jiang, Wang Chen, Xiaojun Zheng, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
Hierarchical Disturbance Propagation Mechanism and Improved Contract Net Protocol for Satellite TT&C Resource Dynamic Scheduling
Zhiqing Xiang, Yi Gu, Xinwei Wang, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 2, pp. 166-183
Open Access | Times Cited: 1
Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends
Panagiotis D. Paraschos, D.E. Koulouriotis
Computers & Industrial Engineering (2024), pp. 110656-110656
Closed Access | Times Cited: 1
A novel deep reinforcement learning‐based algorithm for multi‐objective energy‐efficient flow‐shop scheduling
Liang Peng, Pengfei Xiao, Zeya Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 1
A Reinforcement Learning Approach to Robust Scheduling of Permutation Flow Shop
Tao Zhou, Liang Luo, Shengchen Ji, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 478-478
Open Access | Times Cited: 2
RESEARCH AND DESIGN OF MULTI-ATTITUDE DF-GNNRL SIMULATION TECHNOLOGY BASED ON SATELLITE DOWNLINK BEAM CALCULATION
Liping Qiao, Li Zhang, Lei Feng
Telecommunications and Radio Engineering (2024) Vol. 83, Iss. 6, pp. 1-22
Closed Access
A two-stage method for doubly resource constrained elementary shortest path problems
Xuefeng Jin, Shunzheng Yu
Knowledge-Based Systems (2024) Vol. 293, pp. 111661-111661
Closed Access
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
Rui Sun, Zhi Zheng, Zhenkun Wang
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20803-20811
Open Access
A Deep Reinforcement Learning Framework with Convolution Augmented Attention and Gate Mechanism for Job Shop Scheduling
Goytom Gebreyesus, Getu Fellek, Ahmed Farid, et al.
(2024), pp. 171-177
Closed Access
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
Yong Liang Goh, Zhiguang Cao, Yining Ma, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 884-895
Open Access
Algorithm design for real-world combinatorial optimisation problems
Xianli Zhang
(2024)
Open Access
Mesterséges Intelligencia kiválasztása és felhasználási lehetőségei a logisztika területén
Péter Veres
Multidiszciplináris Tudományok (2023) Vol. 13, Iss. 1, pp. 32-41
Open Access | Times Cited: 1
Load Balancing of Two-Sided Assembly Line Based on Deep Reinforcement Learning
Guangpeng Jia, Yahui Zhang, Shuqi Shen, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7439-7439
Open Access | Times Cited: 1
Increasing the efficiency of warehouse analysis using artificial intelligence
P. Vereš
Acta Logistica (2023) Vol. 10, Iss. 3, pp. 445-451
Open Access | Times Cited: 1
Artificial Intelligence Component of the FERODATA AI Engine to Optimize the Assignment of Rail Freight Locomotive Drivers
Adrian Brezulianu, Oana Geman, Iolanda Valentina Popa
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11516-11516
Open Access | Times Cited: 1
Dynamic Job Shop Scheduling via Deep Reinforcement Learning
Xinjie Liang, Wen Song, Pengfei Wei
(2023), pp. 369-376
Closed Access | Times Cited: 1
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