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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:

Inductive Graph Representation Learning for fraud detection
Rafaël Van Belle, Charles Van Damme, Hendrik Tytgat, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116463-116463
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda
Koen W. De Bock, Kristof Coussement, Arno De Caigny, et al.
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 249-272
Open Access | Times Cited: 47
Graph neural networks for financial fraud detection: a review
Dawei Cheng, Yao Zou, Sheng Xiang, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 9
Open Access | Times Cited: 2
CATCHM: A novel network-based credit card fraud detection method using node representation learning
Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Decision Support Systems (2022) Vol. 164, pp. 113866-113866
Open Access | Times Cited: 66
Financial fraud detection using graph neural networks: A systematic review
Soroor Motie, Bijan Raahemi
Expert Systems with Applications (2023) Vol. 240, pp. 122156-122156
Closed Access | Times Cited: 26
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7254-7254
Open Access | Times Cited: 23
Assessing financial distress of SMEs through event propagation: An adaptive interpretable graph contrastive learning model
Jianfei Wang, Cuiqing Jiang, Lina Zhou, et al.
Decision Support Systems (2024) Vol. 180, pp. 114195-114195
Closed Access | Times Cited: 6
Controlled graph neural networks with denoising diffusion for anomaly detection
Xuan Li, Chunjing Xiao, Ziliang Feng, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121533-121533
Closed Access | Times Cited: 13
Public Procurement Collusion Identification Based on GraphSAGE Algorithm
Marcos Leno Ferreira Pompeu, Raimir Holanda Filho
Studies in computational intelligence (2025), pp. 28-36
Closed Access
Interference recommendation for the pump sizing process in progressive cavity pumps using graph neural networks
Leandro Starke, Aurélio Faustino Hoppe, Andreza Sartori, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Transaction fraud detection via attentional spatial–temporal GNN
Samiyeh Khosravi, Mehrdad Kargari, Babak Teimourpour, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph
Lanting Fang, Kaiyu Feng, Jie Gui, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 5, pp. 1154-1167
Closed Access | Times Cited: 10
Research on Financial Fraud Detection Models Integrating Multiple Relational Graphs
Jianfeng Li, Dexiang Yang
Systems (2023) Vol. 11, Iss. 11, pp. 539-539
Open Access | Times Cited: 5
Representing and discovering heterogeneous interactions for financial risk assessment of SMEs
Jianfei Wang, Cuiqing Jiang, Lina Zhou, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123330-123330
Closed Access | Times Cited: 1
Fraud risk assessment in car insurance using claims graph features in machine learning
Ivan Vorobyev
Expert Systems with Applications (2024) Vol. 251, pp. 124109-124109
Closed Access | Times Cited: 1
Network analytics for insurance fraud detection: a critical case study
Bruno Deprez, Félix Vandervorst, Wouter Verbeke, et al.
European Actuarial Journal (2024) Vol. 14, Iss. 3, pp. 965-990
Closed Access | Times Cited: 1
Who are the evil backstage manipulators: Boosting graph attention networks against deep fraudsters
Xinxin Hu, Hongchang Chen, Shuxin Liu, et al.
Computer Networks (2023) Vol. 227, pp. 109698-109698
Closed Access | Times Cited: 3
Hellinger distance decision trees for PU learning in imbalanced data sets
Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt
Machine Learning (2023) Vol. 113, Iss. 7, pp. 4547-4578
Closed Access | Times Cited: 3
Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud
Peiwen Gao, Zhihua Li, Dibin Zhou, et al.
IEEE Access (2024) Vol. 12, pp. 173638-173646
Open Access
Tackling Oversmoothing in GNN via Graph Sparsification
Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, et al.
Lecture notes in computer science (2024), pp. 161-179
Closed Access
Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms
Zheng Zhang, Xiang Ao, Claudio J. Tessone, et al.
Expert Systems with Applications (2024), pp. 125598-125598
Closed Access
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
Jiasheng Zhang, Rex Ying, Jie Shao
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 6, pp. 1-26
Open Access
Dynamic Heterogeneous Graph Learning: An Adaptive Research Academic Network
Yang Minghong, Zhenhua Yang
IEEE Access (2024) Vol. 12, pp. 74751-74761
Open Access
GHM: An Ensemble Approach to Fraud Detection with a Graph-Based HMM Method
Samiyeh Khosravi, Mehrdad Kargari, Babak Teimourpour, et al.
(2024), pp. 99-104
Closed Access
Inductive Inference of Gradient-Boosted Decision Trees on Graphs for Insurance Fraud Detection
Félix Vandervorst, Wouter Verbeke, Tim Verdonck
(2024)
Closed Access
Recent Advances in Federated Graph Learning
Tre’ R. Jeter, My T. Thai
Springer optimization and its applications (2024), pp. 223-257
Closed Access
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