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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 Representation Learning and Its Applications: A Survey
Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4168-4168
Open Access | Times Cited: 17

Showing 17 citing articles:

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 51
A note on the generalized Gaussian Estrada index and Gaussian subgraph centrality of graphs
Yang Yang, Yanyan Song, Haifeng Fan, et al.
AIMS Mathematics (2025) Vol. 10, Iss. 2, pp. 2279-2294
Open Access
An Express Management System With Graph Recurrent Neural Network for Estimated Time of Arrival
Xiaozhi Su, Bilal Alataş, Osama Sohaib
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-26
Open Access
Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks
Namgyu Jung, David Camacho, Chang Choi, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
PageRank-Based Unsupervised Deep Vertex Representations for Anti-money Laundering Detection
Emre Sefer
Studies in computational intelligence (2025), pp. 137-149
Closed Access
Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs
Richard Woodman, Bogda Koczwara, Arduino A. Mangoni
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 3
Sparse graphs-based dynamic attention networks
Runze Chen, Kaibiao Lin, Binsheng Hong, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35938-e35938
Open Access | Times Cited: 3
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks
Pierre Hembert, Chady Ghnatios, Julien Cotton, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1580-1580
Open Access | Times Cited: 2
Introducing diminutive causal structure into graph representation learning
Hang Gao, Peng Qiao, Y. Jin, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111592-111592
Open Access | Times Cited: 2
Companion Animal Disease Diagnostics Based on Literal-Aware Medical Knowledge Graph Representation Learning
Van Thuy Hoang, Thanh Sang Nguyen, Sangmyeong Lee, et al.
IEEE Access (2023) Vol. 11, pp. 114238-114249
Open Access | Times Cited: 4
Motion states identification of underwater glider based on complex networks and graph convolutional networks
Wei Guo, Xinlin Sun, Dongmei Lv, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 1
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
Van Thuy Hoang, O‐Joun Lee
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 12456-12465
Open Access | Times Cited: 1
A Counterfactual Inference-Based Social Network User-Alignment Algorithm
Ling Xing, Yuanhao Huang, Qi Zhang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6939-6952
Closed Access | Times Cited: 1
Scalable Image Processing with Apache Spark and Convolutional Neural Networks
Deepika Sharma, Ruchira Rawat, Zaid Alsalami, et al.
(2024), pp. 1-6
Closed Access
Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition
Xingyuan Li, Wei Hu, Jianhua Lu, et al.
Lecture notes in computer science (2024), pp. 435-446
Closed Access
Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks
Hyeon-Ju Jeon, J. S. Kang, In‐Hyuk Kwon, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045036-045036
Open Access
Privacy-Preserving k-NN Graphs with Autoencoder-Based Representations for Sensitive Features
Gustavo P. Oliveira, Maria da Graça Campos Pimentel, Ricardo Marcondes Marcacini
(2024), pp. 683-694
Closed Access
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