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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:

Reinforcement Learning on Graphs: A Survey
Mingshuo Nie, Dongming Chen, Dongqi Wang
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1065-1082
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 25
A Comprehensive Survey on Graph Summarization With Graph Neural Networks
Nasrin Shabani, Jia Wu, Amin Beheshti, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 3780-3800
Open Access | Times Cited: 11
Dynamic network embedding and its temporal link prediction via constructing community adaptive temporal walking
Mingqiang Zhou, Weidong Cai, Zhenpeng Hu, et al.
Knowledge and Information Systems (2025)
Closed Access | Times Cited: 1
Enhancing link prediction in graph data augmentation through graphon mixup
Tangina Sultana, Md. Delowar Hossain, Md Golam Morshed, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
Prohim Tam, Seyha Ros, Inseok Song, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 994-994
Open Access | Times Cited: 7
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
Moschoula Pternea, Prerna Singh, Abir Chakraborty, et al.
Journal of Artificial Intelligence Research (2024) Vol. 80, pp. 1525-1573
Open Access | Times Cited: 4
Graph Neural Networks for Routing Optimization: Challenges and Opportunities
Weiwei Jiang, Haoyu Han, Yang Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9239-9239
Open Access | Times Cited: 4
AutoMTNAS: Automated meta-reinforcement learning on graph tokenization for graph neural architecture search
Mingshuo Nie, Dongming Chen, Huilin Chen, et al.
Knowledge-Based Systems (2025), pp. 113023-113023
Closed Access
Scalable Similarity-Aware Test Suite Minimization with Reinforcement Learning
Sijia Gu, Ali Mesbah
ACM Transactions on Software Engineering and Methodology (2025)
Open Access
An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network
Dexin Zhu, Mingshuo Nie, Hong‐Hui Wu, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access
AutoGSP: Automated graph-level representation learning via subgraph detection and propagation deceleration
Mingshuo Nie, Dongming Chen, Dongqi Wang, et al.
Expert Systems with Applications (2025), pp. 126871-126871
Closed Access
Advancing Fog-Edge Continuum: A Hybrid Approach Using GRL and Stable Matching for Task Offloading
Nilesh Kumar Verma, K. Jairam Naik
Procedia Computer Science (2025) Vol. 258, pp. 3523-3534
Open Access
Personalized Learning Path Recommendation using Graph Reinforcement Learning
S.C. Haldar, Souvik Sengupta, Asit Kumar Das
Procedia Computer Science (2025) Vol. 258, pp. 3480-3489
Open Access
A residual graph reinforcement learning for budgeted influence maximization
Lizhen Ou, Xueyan Tang, Wentong Cai, et al.
Knowledge-Based Systems (2025), pp. 113553-113553
Closed Access
Automated Penetration Testing Through Reinforcement Learning
Faten Ahmed Saeed Alghamdi
IGI Global eBooks (2025), pp. 323-352
Closed Access
A reinforcement learning approach to edge suggestion for fair information access on social networks
Fangzheng Wang, Yanhao Wang, Jingjing Wang, et al.
Knowledge-Based Systems (2025), pp. 113719-113719
Closed Access
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 11-20
Open Access | Times Cited: 8
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features
Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2542-2551
Closed Access | Times Cited: 2
Multi-view Heterogeneous Graph Neural Networks for Node Classification
Xi Zeng, Fangyuan Lei, Chang‐Dong Wang, et al.
Data Science and Engineering (2024) Vol. 9, Iss. 3, pp. 294-308
Open Access | Times Cited: 2
Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance
Seyha Ros, Prohim Tam, Inseok Song, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2552-2552
Open Access | Times Cited: 2
MM-SDVN: Efficient Mobility Management Scheme for Optimal Network Handover in Software-Defined Vehicular Network
Chun‐Yang Fan, Jie Cui, Hong Zhong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 32089-32104
Closed Access | Times Cited: 2
EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification
Abdul Joseph Fofanah, Alpha Omar Leigh
Neurocomputing (2024), pp. 128686-128686
Open Access | Times Cited: 2
Searching High-value Edges Attack sequence through deep Reinforcement learning
Libin Chen, Luyao Wang, Chengyi Zeng, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110562-110562
Closed Access | Times Cited: 5
Collaborative Moonwalkers
Edward Chow, Thomas Lu, Kevin Payumo, et al.
IEEE Aerospace Conference (2024), pp. 1-15
Closed Access | Times Cited: 1
A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling
Junhao Qiu, Jianjun Liu, Zhantao Li, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 351-370
Closed Access | Times Cited: 1
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