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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:

Container stacking optimization based on Deep Reinforcement Learning
Xin Jin, Zhentang Duan, Wen Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106508-106508
Closed Access | Times Cited: 14

Showing 14 citing articles:

Optimizing quay crane scheduling using deep reinforcement learning with hybrid metaheuristic algorithm
Le Ngoc Bao Long, Sam–Sang You, Truong Ngoc Cuong, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110021-110021
Closed Access | Times Cited: 1
Integrated scheduling of material delivery and processing
Jinlong Zheng, Yixin Zhao, Jianfeng Li, et al.
Computers & Industrial Engineering (2025), pp. 110863-110863
Closed Access
A Q-learning-based algorithm for the block relocation problem
Liqun Liu, Yuanjun Feng, Qingcheng Zeng, et al.
Journal of Heuristics (2025) Vol. 31, Iss. 1
Open Access
Study on the Multi-Equipment Integrated Scheduling Problem of a U-Shaped Automated Container Terminal Based on Graph Neural Network and Deep Reinforcement Learning
Qinglei Zhang, Yi Zhu, Jiyun Qin, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 197-197
Open Access
Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation
Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2019-2019
Open Access
Dynamic flexible flow shop scheduling via cross-attention networks and multi-agent reinforcement learning
Jinlong Zheng, Yixin Zhao, Yinya Li, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 395-411
Closed Access
Digital system for dynamic container loading with neural network-based memory exploiting hybrid genetic algorithm for carbon reduction
Chen‐Fu Chien, Yu-Bin Lan, Kanchana Sethanan, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110149-110149
Closed Access | Times Cited: 3
An enhanced variable neighborhood search method for refrigerated container stacking and relocation problem with duplicate priorities
Wenyuan Wang, Huakun Liu, Qi Tian, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 188, pp. 103643-103643
Closed Access | Times Cited: 3
Ship Collision Risk Evaluation using AIS and weather data through fuzzy logic and deep learning
Anil Kumar Korupoju, Vinesh Kapadia, Arun Shankar Vilwathilakam, et al.
Ocean Engineering (2024) Vol. 318, pp. 120116-120116
Closed Access | Times Cited: 2
Slot assignment for outbound containers in storage space limited container terminal
Yu Wang, Caimao Tan, Hao Wu
Ocean & Coastal Management (2024) Vol. 256, pp. 107271-107271
Closed Access | Times Cited: 1
Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms
Jakub Kůdela
Computers (2023) Vol. 12, Iss. 11, pp. 225-225
Open Access | Times Cited: 3
Machine Learning-Based Optimization Models for Defining Storage Rules in Maritime Container Yards
Daniela Ambrosino, Haoqi Xie
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 4, pp. 1618-1641
Open Access
The parallel stack loading problem considering multiple batches of storage plates
Lebao Wu, Zuhua Jiang
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 193, pp. 103873-103873
Closed Access
Capacity management problems at container terminals
Julio Mar-Ortiz, María D. Gracia
Elsevier eBooks (2024)
Closed Access
Deep Reinforcement Learning for Dynamic Twin Automated Stacking Cranes Scheduling Problem
Xin Jin, Nan Mi, Wen Song, et al.
Electronics (2023) Vol. 12, Iss. 15, pp. 3288-3288
Open Access | Times Cited: 1
A Contextual Bandit Approach for Network Service Selection
Zhenyu Li, Rui Zhang, Shutian Zhou, et al.
(2023), pp. 654-659
Closed Access
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