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:

Internet Financial Fraud Detection Based on Graph Learning
Ranran Li, Zhaowei Liu, Yuanqing Ma, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1394-1401
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks
Zhaowei Liu, Dong Yang, Yingjie Wang, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110040-110040
Closed Access | Times Cited: 86

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: 7

Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection
Lina Ni, Jufeng Li, Huixin Xu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1615-1630
Closed Access | Times Cited: 32

Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 29

RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection
Dezhi Guo, Zhaowei Liu, Ranran Li
Neural Networks (2023) Vol. 166, pp. 273-285
Closed Access | Times Cited: 26

Adaptive Attention-Based Graph Representation Learning to Detect Phishing Accounts on the Ethereum Blockchain
Haojie Sun, Zhaowei Liu, Shenqiang Wang, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 3, pp. 2963-2975
Closed Access | Times Cited: 14

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions
Shiyang Chen, Yang Liu, Qun Zhang, et al.
Advanced Intelligent Systems (2025)
Open Access | Times Cited: 1

Adaptive multi-channel Bayesian graph attention network for IoT transaction security
Zhaowei Liu, Dong Yang, Shenqiang Wang, et al.
Digital Communications and Networks (2022) Vol. 10, Iss. 3, pp. 631-644
Open Access | Times Cited: 21

Credit Card Fraud Detection with Imbalanced Small Data Using TabTransformer and Cost-Sensitive Learning
Alimamy Alpha Conteh, Junwei Zhou
Communications in computer and information science (2025), pp. 35-50
Closed Access

Decoding the dark: AI and ML in the dark web cybercrime and cryptocurrency forensics
Ramy El-Kady
International Cybersecurity Law Review (2025)
Closed Access

Multiattribute E-CARGO Task Assignment Model Based on Adaptive Heterogeneous Residual Networks
Zhaowei Liu, Zongxing Zhao
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 3, pp. 3826-3838
Closed Access | Times Cited: 3

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

A Survey of Graph Neural Networks and Their Industrial Applications
Haoran Lu, Lei Wang, Xiaoliang Ma, et al.
(2024)
Closed Access | Times Cited: 3

BTextCAN: Consumer fraud detection via group perception
Shanyan Lai, Junfang Wu, Zhiwei Ma, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103307-103307
Closed Access | Times Cited: 7

Heterogeneous graphs neural networks based on neighbor relationship filtering
Zhaowei Liu, Yixian Wang, Shenqiang Wang, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122489-122489
Closed Access | Times Cited: 7

UCF-PKS: Unforeseen Consumer Fraud Detection With Prior Knowledge and Semantic Features
Shanyan Lai, Junfang Wu, Chunyang Ye, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 4, pp. 5454-5467
Closed Access | Times Cited: 2

Staying ahead of phishers: a review of recent advances and emerging methodologies in phishing detection
S Kavya, D. Sumathi
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2

Financial Fraud Detection Based on Deep Learning: Towards Large-Scale Pre-training Transformer Models
Haitao Wang, Jiale Zheng, Ivan E. Carvajal-Roca, et al.
Communications in computer and information science (2023), pp. 163-177
Closed Access | Times Cited: 5

Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring
Zhiyu Guo, Xiang Ao, Qing He
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1675-1684
Closed Access | Times Cited: 5

BI-FedGNN: Federated graph neural networks framework based on Bayesian inference
R.Z. Gao, Zhaowei Liu, Chenxi Jiang, et al.
Neural Networks (2023) Vol. 169, pp. 143-153
Open Access | Times Cited: 4

Bilateral Privacy Protection Scheme Based on Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing
Xuelei Sun, Yingjie Wang, Peiyong Duan, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 17740-17756
Closed Access | Times Cited: 1

Efficient loss updated XGBoost with deep emended genetic algorithm for detecting online fraudulent transactions
R. Lingeswari, S. Brindha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 37, pp. 84471-84494
Closed Access | Times Cited: 1

An Adaptive Graph Neural Networks Based on Cost-sensitive Learning for Fraud Detection
Qiaosen Yan, Yifei Sun, Yifei Cao, et al.
2022 5th International Symposium on Autonomous Systems (ISAS) (2024) Vol. 28, pp. 1-6
Closed Access | Times Cited: 1

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