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 supervision by intelligent algorithm
Guangyi Yang, Xiaoxing Liu, Beixin Li
Computers & Security (2023) Vol. 132, pp. 103344-103344
Closed Access | Times Cited: 11

Showing 11 citing articles:

Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review
Bandar Alotaibi
Sensors (2025) Vol. 25, Iss. 2, pp. 342-342
Open Access | Times Cited: 1

Enhancing Anti-money Laundering Efforts with Network-based Algorithms
Anthony Bonato, Juan Sebastian Chavez Palan, Adam Szava
Studies in computational intelligence (2025), pp. 115-124
Closed Access

Economic and financial crimes: evidence from the literature in emerging markets
Jairo Dote-Pardo, Pedro Severino-González
Journal of Money Laundering Control (2025)
Closed Access

Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks
Yu Qian, Sizhe Wang, Tao Yang
SHS Web of Conferences (2025) Vol. 213, pp. 01016-01016
Open Access

Integrating Machine Learning in Anti-Money Laundering through Crypto: A Comprehensive Performance Review
A. O Japinye
European Journal of Accounting Auditing and Finance Research (2024) Vol. 12, Iss. 4, pp. 54-80
Open Access | Times Cited: 1

HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering
Jialin Song, Yijun Gu
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8766-8766
Open Access | Times Cited: 3

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

Anomaly Detection on Blockchain in Financial Fields: A Comprehensive Survey
Tiankai Xu, Zixuan Liu, Haoyu Gao, et al.
(2024), pp. 199-207
Closed Access

Antecedents of Compliance with Anti-Money Laundering Regulations in the Banking Sector of Ghana
Bernardette Naa Hoffman, Johnson Okeniyi, Sunday Samuel
Journal of risk and financial management (2024) Vol. 17, Iss. 8, pp. 373-373
Open 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

A plug-and-play data-driven approach for anti-money laundering in bitcoin
Yuzhi Liang, Weijing Wu, R.R. Liang, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126072-126072
Closed Access

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