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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:

Value-added tax fraud detection with scalable anomaly detection techniques
Jellis Vanhoeyveld, David Martens, Bruno Peeters
Applied Soft Computing (2019) Vol. 86, pp. 105895-105895
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Evolution of Industry and Blockchain Era: Monitoring Price Hike and Corruption Using BIoT for Smart Government and Industry 4.0
Mohammad Kamrul Hasan, Md. Akhtaruzzaman, S. Rayhan Kabir, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 9153-9161
Closed Access | Times Cited: 59
Insights into Corporate Tax Evasion and Its Ramifications on Overall Budget Revenue: An Empirical Study
Yazan Abu Huson, Nader Mohammad Aljawarneh, Abdallah Mishael Obeidat, et al.
Studies in systems, decision and control (2024), pp. 107-122
Closed Access | Times Cited: 8
NICE: an algorithm for nearest instance counterfactual explanations
Dieter Brughmans, Pieter Leyman, David Martens
Data Mining and Knowledge Discovery (2023)
Open Access | Times Cited: 21
Tax Default Prediction Using Feature Transformation-Based Machine Learning
Mohammad Zoynul Abedin, Guotai Chi, Mohammed Mohi Uddin, et al.
IEEE Access (2020) Vol. 9, pp. 19864-19881
Open Access | Times Cited: 43
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method
Miloš Savić, Jasna Atanasijević, Dušan Jakovetić, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116409-116409
Open Access | Times Cited: 27
Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer’s Network Data in Fraud Detection
Vardan Baghdasaryan, Hrant Davtyan, Arsine Sarikyan, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 27
Generative adversarial nets for unsupervised outlier detection
Xusheng Du, Jiaying Chen, Jiong Yu, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121161-121161
Closed Access | Times Cited: 14
Machine Learning Based Smart E-Auditor To Prevent Tax Evasion
Ketan Rathor
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access | Times Cited: 5
Economic Fraud and Associated Risks: An Integrated Bibliometric Analysis Approach
Kamer-Ainur Aivaz, Iulia Oana Florea, Ionela Munteanu
Risks (2024) Vol. 12, Iss. 5, pp. 74-74
Open Access | Times Cited: 5
Higher-order Structure Based Anomaly Detection on Attributed Networks
Xu Yuan, N. Zhou, Shuo Yu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021)
Open Access | Times Cited: 26
A Novel Spatiotemporal Prediction Approach Based on Graph Convolution Neural Networks and Long Short-Term Memory for Money Laundering Fraud
Pingfan Xia, Zhiwei Ni, Hongwang Xiao, et al.
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1921-1937
Closed Access | Times Cited: 20
Exploring Corporate Tax Avoidance: Effects on Comprehensive Budget Income – a Practical Analysis
Yazan Abu Huson, Mousa Almousa, Mohammad Zakaria AlQudah
(2024)
Open Access | Times Cited: 2
Exploring Corporate Tax Avoidance: Effects on Comprehensive Budget Income – a Practical Analysis
Yazan Abu Huson, Mohammad Zakaria AlQudah, Nader Mohammad Aljawarneh, et al.
(2024)
Open Access | Times Cited: 2
Financial fraud detection through the application of machine learning techniques: a literature review
Ludivia Hernández Aros, Luisa Ximena Bustamante Molano, Fernando Gutiérrez-Portela, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
An Ensemble Architecture Based on Deep Learning Model for Click Fraud Detection in Pay-Per-Click Advertisement Campaign
Amreen Batool, Yung-Cheol Byun
IEEE Access (2022) Vol. 10, pp. 113410-113426
Open Access | Times Cited: 11
A Multi-Module Machine Learning Approach to Detect Tax Fraud
Nasser Alsadhan
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 1, pp. 241-253
Open Access | Times Cited: 6
Machine learning model of tax arrears prediction based on knowledge graph
Jie Zheng, Yijun Li
Electronic Research Archive (2023) Vol. 31, Iss. 7, pp. 4057-4076
Open Access | Times Cited: 6
Struggling Against Tax Fraud, a Holistic Approach Using Artificial Intelligence
Christophe Gaie
Springer eBooks (2023), pp. 87-102
Closed Access | Times Cited: 5
Image processing meets time series analysis: Predicting Forex profitable technical pattern positions
Arya Hadizadeh Moghaddam, Saeedeh Momtazi
Applied Soft Computing (2021) Vol. 108, pp. 107460-107460
Closed Access | Times Cited: 12
An efficient approach for clustering and classification for fraud detection using bankruptcy data in IoT environment
Panigrahi Srikanth
International Journal of Information Technology (2021) Vol. 13, Iss. 6, pp. 2497-2503
Closed Access | Times Cited: 12
An efficient outlier detection method for data streams based on closed frequent patterns by considering anti-monotonic constraints
Saihua Cai, Rubing Huang, Jinfu Chen, et al.
Information Sciences (2020) Vol. 555, pp. 125-146
Closed Access | Times Cited: 12
Machine learning and law
Andrzej Porębski
Edward Elgar Publishing eBooks (2023), pp. 450-467
Open Access | Times Cited: 4
Analisis Keputusan Pemerintah Mengenai Kebijakan Kenaikan Tarif Pajak Pertambahan Nilai Sebesar 11 Persen
Azzahra Zaitira Meiyasa, Delviga Septiyan Maharani, Revienda Anita Fitrie
Indonesian Journal of Public Administration Review (2024) Vol. 1, Iss. 2, pp. 14-14
Closed Access | Times Cited: 1
Financial Fraud Transaction Prediction Approach Based on Global Enhanced GCN and Bidirectional LSTM
Yimo Chen, Mingde Du
Computational Economics (2024)
Closed Access | Times Cited: 1
An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints
Saihua Cai, Jinfu Chen, Haibo Chen, et al.
Information Sciences (2021) Vol. 580, pp. 620-642
Closed Access | Times Cited: 10
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