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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:

Anti-Money Laundering by Group-Aware Deep Graph Learning
Dawei Cheng, Yujia Ye, Sheng Xiang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12444-12457
Closed Access | Times Cited: 19

Showing 19 citing articles:

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: 1
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 25
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning
Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-29
Closed Access | Times Cited: 7
ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection
Bahar Emami Afshar, Paula Branco, Tolga Kurt, et al.
Lecture notes in computer science (2025), pp. 115-133
Closed Access
Fraud detection at eBay
Susie Xi Rao, Zhichao Han, Hang Yin, et al.
Emerging Markets Review (2025), pp. 101277-101277
Closed Access
Multi-view Graph based Hierarchical Representation Learning for Money Laundering Group Detection
Zhong Li, Xueting Yang, Changjun Jiang
IEEE Transactions on Information Forensics and Security (2025) Vol. 20, pp. 2035-2050
Closed Access
Revolutionizing Finance and Accounting Through AI-Driven Decision Making
S. Vaishnavi, J. Shobana, R. Renugadevi, et al.
Practice, progress, and proficiency in sustainability (2025), pp. 261-284
Closed Access
Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels
Jiangnan Tang, Huanhuan Gu, Darko Vuković, et al.
Neurocomputing (2025), pp. 130063-130063
Closed Access
Fraud Detection in E-Commerce: A Systematic Review of Transaction Risk Prevention
Susie Xi Rao, Jiawei Jiang, Zhichao Han, et al.
IntechOpen eBooks (2025)
Closed Access
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Rui Zhang, Dawei Cheng, Jie Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22511-22519
Open Access | Times Cited: 3
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao, Chenyi Zi, Yang Liu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4083-4094
Open Access | Times Cited: 3
U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning
Hafiz Asif, Sitao Min, Xinyue Wang, et al.
IEEE Transactions on Privacy (2024) Vol. 1, pp. 3-18
Open Access | Times Cited: 3
Explainable deep learning model for predicting money laundering transactions
Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
A Spatial–Temporal Gated Network for Credit Card Fraud Detection by Learning Transactional Representations
Yu Xie, Guanjun Liu, MengChu Zhou, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6978-6991
Closed Access | Times Cited: 4
Contrastive Learning for Money Laundering Detection: Node-Subgraph-Node Method with Context Aggregation and Enhancement Strategy
Zhong Li, Jialong Huang, Xueting Yang, et al.
Lecture notes in computer science (2024), pp. 31-47
Closed Access
P2P credit risk management with KG-GNN: a knowledge graph and graph neural network-based approach
Yuhao Zhu, Desheng Wu
Journal of the Operational Research Society (2024), pp. 1-15
Closed Access
UTXOAnalysis: A distributed graph storage and analysis system for UTXO-based cryptocurrencies
Ruibin Yan, Zeyu Zhang, Dechun Yin, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109760-109760
Closed Access
Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering
Sheng-Jean Huang, Yun Xiong, Yi Xie, et al.
(2024), pp. 4571-4578
Closed Access
RMGANets: reinforcement learning-enhanced multi-relational attention graph-aware network for anti-money laundering detection
Q. Wang, Wei‐Tek Tsai, Bowen Du
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access
FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection
Rui Zhang, Wenbo Li, Xiaodong Ning, et al.
Lecture notes in computer science (2024), pp. 34-49
Closed Access
A Money Laundering Structure Detection Method Based on Incremental Transaction Analysis
Yifei Meng, Zhong Li
2022 5th International Conference on Data Science and Information Technology (DSIT) (2023), pp. 20-30
Closed Access
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