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:

Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection
Aditya Singh, Anubhav Gupta, Hardik Wadhwa, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 391-396
Closed Access | Times Cited: 10

Showing 10 citing articles:

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

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: 21

Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions
Qasim Umer, Jianwei Li, Muhammad Rehan Ashraf, et al.
IEEE Access (2023) Vol. 11, pp. 95213-95224
Open Access | Times Cited: 10

A Distributed Knowledge Distillation Framework for Financial Fraud Detection Based on Transformer
Yuxuan Tang, Liu Zhan-Jun
IEEE Access (2024) Vol. 12, pp. 62899-62911
Open Access | Times Cited: 3

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification
Jack Nicholls, Aditya Kuppa, Nhien‐An Le‐Khac
Annual Computer Security Applications Conference (2023), pp. 324-336
Open Access | Times Cited: 4

Fairness-Aware Graph Neural Networks: A Survey
April Chen, Ryan A. Rossi, Namyong Park, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-23
Open Access | Times Cited: 1

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

Temporal Graph Learning for Financial World
Nitendra Rajput, Karamjit Singh
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4818-4819
Closed Access | Times Cited: 6

Ponzi Scheme Detection and Prevention in Blockchain Platforms Using Machine Learning: A Systematic Literature Review
Karen Esther Castro Severiche, Agnes Wahlqvist Odenman, Amin Jalali
Lecture notes in computer science (2024), pp. 87-102
Closed Access

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