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:
Solve routing problems with a residual edge-graph attention neural network
Kun Lei, Peng Guo, Yi Wang, et al.
Neurocomputing (2022) Vol. 508, pp. 79-98
Open Access | Times Cited: 46
Kun Lei, Peng Guo, Yi Wang, et al.
Neurocomputing (2022) Vol. 508, pp. 79-98
Open Access | Times Cited: 46
Showing 1-25 of 46 citing articles:
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem
Kun Lei, Peng Guo, Wenchao Zhao, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117796-117796
Closed Access | Times Cited: 145
Kun Lei, Peng Guo, Wenchao Zhao, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117796-117796
Closed Access | Times Cited: 145
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 74
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 74
Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 51
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 51
Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning
Min Zhang, Liang Wang, Fusheng Qiu, et al.
Computers & Industrial Engineering (2023) Vol. 186, pp. 109718-109718
Closed Access | Times Cited: 33
Min Zhang, Liang Wang, Fusheng Qiu, et al.
Computers & Industrial Engineering (2023) Vol. 186, pp. 109718-109718
Closed Access | Times Cited: 33
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
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
Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification
Quan Zhang, Jianhuang Lai, Xiaohua Xie, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5791-5805
Closed Access | Times Cited: 6
Quan Zhang, Jianhuang Lai, Xiaohua Xie, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5791-5805
Closed Access | Times Cited: 6
Regulating the imbalance for the container relocation problem: A deep reinforcement learning approach
Yin Tang, Zengjian Ye, Yongjian Chen, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110111-110111
Closed Access | Times Cited: 4
Yin Tang, Zengjian Ye, Yongjian Chen, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110111-110111
Closed Access | Times Cited: 4
Combining MAMBA and Attention-Based Neural Network for Electric Ground-Handling Vehicles Scheduling
Jiawei Li, W.T. Fu, Gangjin Huang, et al.
Systems (2025) Vol. 13, Iss. 3, pp. 155-155
Open Access
Jiawei Li, W.T. Fu, Gangjin Huang, et al.
Systems (2025) Vol. 13, Iss. 3, pp. 155-155
Open Access
Synergetic attention-driven transformer: A Deep reinforcement learning approach for vehicle routing problems
Qingshu Guan, Hui Cao, Lixin Jia, et al.
Expert Systems with Applications (2025), pp. 126961-126961
Closed Access
Qingshu Guan, Hui Cao, Lixin Jia, et al.
Expert Systems with Applications (2025), pp. 126961-126961
Closed Access
Edge-Driven Multiple Trajectory Attention Model for Vehicle Routing Problems
Dapeng Yan, Bei Ou, Qingshu Guan, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2679-2679
Open Access
Dapeng Yan, Bei Ou, Qingshu Guan, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2679-2679
Open Access
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning
Arash Mozhdehi, Yunli Wang, Sun Sun, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
Arash Mozhdehi, Yunli Wang, Sun Sun, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
Improved Reinforcement Learning–Based Method for Emergency Mission Planning to Remove Space Debris
Maohui Zhou, Tianxi Liu, Cheng Wei, et al.
Journal of Aerospace Engineering (2025) Vol. 38, Iss. 3
Closed Access
Maohui Zhou, Tianxi Liu, Cheng Wei, et al.
Journal of Aerospace Engineering (2025) Vol. 38, Iss. 3
Closed Access
Graph Convolutional Networks for logistics optimization: A survey of scheduling and operational applications
Rahimeh Neamatian Monemi, Shahin Gelareh, Pedro Henrique González, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104083-104083
Closed Access
Rahimeh Neamatian Monemi, Shahin Gelareh, Pedro Henrique González, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104083-104083
Closed Access
An Unmanned Delivery Vehicle Path-Planning Method Based on Point-Graph Joint Embedding and Dual Decoders
Jiale Cheng, Zhiwei Ni, Wentao Liu, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3556-3556
Open Access
Jiale Cheng, Zhiwei Ni, Wentao Liu, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3556-3556
Open Access
A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products
Yaping Ren, Xinyu Lu, Hongfei Guo, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 298-298
Open Access | Times Cited: 10
Yaping Ren, Xinyu Lu, Hongfei Guo, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 298-298
Open Access | Times Cited: 10
Temporal Metrics Based Aggregated Graph Convolution Network for traffic forecasting
Fangshu Chen, Yanqiang Qi, Jiahui Wang, et al.
Neurocomputing (2023) Vol. 556, pp. 126662-126662
Closed Access | Times Cited: 10
Fangshu Chen, Yanqiang Qi, Jiahui Wang, et al.
Neurocomputing (2023) Vol. 556, pp. 126662-126662
Closed Access | Times Cited: 10
G-DGANet: Gated deep graph attention network with reinforcement learning for solving traveling salesman problem
Getu Fellek, Ahmed Farid, Shigeru Fujimura, et al.
Neurocomputing (2024) Vol. 579, pp. 127392-127392
Closed Access | Times Cited: 3
Getu Fellek, Ahmed Farid, Shigeru Fujimura, et al.
Neurocomputing (2024) Vol. 579, pp. 127392-127392
Closed Access | Times Cited: 3
Machine learning augmented approaches for hub location problems
Meng Li, Sebastian Wandelt, Kaiquan Cai, et al.
Computers & Operations Research (2023) Vol. 154, pp. 106188-106188
Closed Access | Times Cited: 8
Meng Li, Sebastian Wandelt, Kaiquan Cai, et al.
Computers & Operations Research (2023) Vol. 154, pp. 106188-106188
Closed Access | Times Cited: 8
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation
Peng Guo, Jianyu Xiong, Yi Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1687-1698
Closed Access | Times Cited: 2
Peng Guo, Jianyu Xiong, Yi Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1687-1698
Closed Access | Times Cited: 2
When large language model meets optimization
Sen Huang, Kaixiang Yang, Sheng Qi, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101663-101663
Open Access | Times Cited: 2
Sen Huang, Kaixiang Yang, Sheng Qi, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101663-101663
Open Access | Times Cited: 2
Optimization for total energy consumption of drone inspection based on distance-constrained capacitated vehicle routing problem: A study in wind farm
Xianfei Huang, Gaocai Wang
Expert Systems with Applications (2024) Vol. 255, pp. 124880-124880
Closed Access | Times Cited: 2
Xianfei Huang, Gaocai Wang
Expert Systems with Applications (2024) Vol. 255, pp. 124880-124880
Closed Access | Times Cited: 2
Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks
Chi Han, Wei Xiong, Ronghuan Yu
Electronics (2024) Vol. 13, Iss. 15, pp. 3054-3054
Open Access | Times Cited: 2
Chi Han, Wei Xiong, Ronghuan Yu
Electronics (2024) Vol. 13, Iss. 15, pp. 3054-3054
Open Access | Times Cited: 2
Simulation-based metaheuristic optimization algorithm for material handling
Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano De Paula, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano De Paula, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
A self-supervised learning model for graph clustering optimization problems
Qingqiong Cai, Xingyue Guo, Shenwei Huang
Knowledge-Based Systems (2024) Vol. 290, pp. 111549-111549
Closed Access | Times Cited: 1
Qingqiong Cai, Xingyue Guo, Shenwei Huang
Knowledge-Based Systems (2024) Vol. 290, pp. 111549-111549
Closed Access | Times Cited: 1
Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem
Yao Zhang, Shaohua Wang, Haojian Liang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109803-109803
Open Access | Times Cited: 1
Yao Zhang, Shaohua Wang, Haojian Liang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109803-109803
Open Access | Times Cited: 1
