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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:

Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yün Peng, Byron Choi, Jianliang Xu
Data Science and Engineering (2021) Vol. 6, Iss. 2, pp. 119-141
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Yimo Yan, Andy H.F. Chow, Chin Pang Ho, et al.
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 162, pp. 102712-102712
Closed Access | Times Cited: 109
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: 26
Coarse-graining network flow through statistical physics and machine learning
Zhang Zhang, Arsham Ghavasieh, Jiang Zhang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Application of message passing neural networks for molecular property prediction
Miru Tang, Baiqing Li, Hongming Chen
Current Opinion in Structural Biology (2023) Vol. 81, pp. 102616-102616
Closed Access | Times Cited: 20
Galvatron
Xupeng Miao, Y X Wang, Youhe Jiang, et al.
Proceedings of the VLDB Endowment (2022) Vol. 16, Iss. 3, pp. 470-479
Open Access | Times Cited: 25
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
Multifactorial Evolutionary Deep Reinforcement Learning for Multitask Node Combinatorial Optimization in Complex Networks
Lijia Ma, Long Xu, Xiaoqing Fan, et al.
Information Sciences (2025), pp. 121913-121913
Closed Access
On-Demand Urban Air Mobility Scheduling with Operational Considerations
Jaeyoul Ko, Jaemyung Ahn
Journal of Aerospace Information Systems (2025), pp. 1-11
Closed Access
Optimization and graph theory: Metaheuristics, constraint satisfaction, and machine learning
Khaoula Bouazzi, Sadok Bouamama
Elsevier eBooks (2025), pp. 405-432
Closed Access
Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning
Eric Larsen, Emma Frejinger, Bernard Gendron, et al.
INFORMS journal on computing (2023) Vol. 36, Iss. 1, pp. 203-223
Open Access | Times Cited: 9
A graph neural network with negative message passing and uniformity maximization for graph coloring
Xiangyu Wang, Xueming Yan, Yaochu Jin
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4445-4455
Open Access | Times Cited: 3
Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis
Haoyu Wang, Xihe Qiu, Xiaoyu Tan
Applied Intelligence (2024)
Closed Access | Times Cited: 3
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
Xiaonan Nie, Xupeng Miao, Zilong Wang, et al.
Proceedings of the ACM on Management of Data (2023) Vol. 1, Iss. 1, pp. 1-19
Open Access | Times Cited: 9
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning
Zhang Li-xi, Chengliang Chai, Xuanhe Zhou, et al.
Proceedings of the 2022 International Conference on Management of Data (2022), pp. 945-958
Open Access | Times Cited: 13
Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks
Chenguang Wang, Congying Han, Tiande Guo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 2, pp. 2010-2025
Closed Access | Times Cited: 10
A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
Di Zhu, Hailian Yin, Yidan Xu, et al.
Data Science and Engineering (2023) Vol. 8, Iss. 2, pp. 85-97
Open Access | Times Cited: 6
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges
Kai Siong Yow, Ningyi Liao, Siqiang Luo, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 12, pp. 3864-3867
Closed Access | Times Cited: 6
A survey on machine learning-based routing for VLSI physical design
Lin Li, Yici Cai, Qiang Zhou
Integration (2022) Vol. 86, pp. 51-56
Closed Access | Times Cited: 9
Neural TSP Solver with Progressive Distillation
Dongxiang Zhang, Ziyang Xiao, Yuan Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 10, pp. 12147-12154
Open Access | Times Cited: 5
PosKHG: A Position-Aware Knowledge Hypergraph Model for Link Prediction
Zirui Chen, Xin Wang, Chenxu Wang, et al.
Data Science and Engineering (2023) Vol. 8, Iss. 2, pp. 135-145
Open Access | Times Cited: 5
AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation
Jintao Zhang, Chao Zhang, Guoliang Li, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 2621-2633
Open Access | Times Cited: 5
An I/O-efficient disk-based graph system for scalable second-order random walk of large graphs
Wanqing Li, Yingxia Shao, Junping Du, et al.
Proceedings of the VLDB Endowment (2022) Vol. 15, Iss. 8, pp. 1619-1631
Open Access | Times Cited: 8
Angel-PTM: A Scalable and Economical Large-Scale Pre-Training System in Tencent
Xiaonan Nie, Yi Liu, Fangcheng Fu, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 12, pp. 3781-3794
Open Access | Times Cited: 4
Ego-Aware Graph Neural Network
Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 2, pp. 1756-1770
Closed Access | Times Cited: 4
Solving the kidney exchange problem via graph neural networks with no supervision
Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb
Neural Computing and Applications (2024) Vol. 36, Iss. 25, pp. 15373-15388
Closed Access | Times Cited: 1
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