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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:

Analysis of Credit Card Fraud Detection Using Fusion Classifiers
Priyanka Kumari, Smita Mishra
Advances in intelligent systems and computing (2018), pp. 111-122
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Enhanced credit card fraud detection based on SVM-recursive feature elimination and hyper-parameters optimization
Naoufal Rtayli, Nourddine Enneya
Journal of Information Security and Applications (2020) Vol. 55, pp. 102596-102596
Closed Access | Times Cited: 158
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Ibtissam Benchaji, Samira Douzi, Bouabid El Ouahidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 88
Selection Features and Support Vector Machine for Credit Card Risk Identification
Naoufal Rtayli, Nourddine Enneya
Procedia Manufacturing (2020) Vol. 46, pp. 941-948
Open Access | Times Cited: 58
Credit card fraud detection using ensemble data mining methods
Saeid Bakhtiari, Zahra Nasiri, Javad Vahidi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 19, pp. 29057-29075
Closed Access | Times Cited: 18
Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems
Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10004-10004
Open Access | Times Cited: 40
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme
Abdul Qayoom, Mansoor Ahmed Khuhro, Kamlesh Kumar, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1998-e1998
Open Access | Times Cited: 5
Evaluation of Deep Neural Networks for Reduction of Credit Card Fraud Alerts
Rafael San Miguel Carrasco, Miguel‐Ángel Sicilia
IEEE Access (2020) Vol. 8, pp. 186421-186432
Open Access | Times Cited: 34
Financial Fraud Identification Using Deep Learning Techniques
Fatima Adel Nama, Ahmed J. Obaid
Al-Salam Journal for Engineering and Technology (2024) Vol. 3, Iss. 1, pp. 141-147
Open Access | Times Cited: 4
Predicting Credit Card Transaction Fraud Using Machine Learning Algorithms
Jiaxin Gao, Zirui Zhou, Jiangshan Ai, et al.
Journal of Intelligent Learning Systems and Applications (2019) Vol. 11, Iss. 03, pp. 33-63
Open Access | Times Cited: 31
Predicting Fraud Victimization Using Classical Machine Learning
Mark Lokanan, Susan Liu
Entropy (2021) Vol. 23, Iss. 3, pp. 300-300
Open Access | Times Cited: 26
Machine Learning for Prediction of Imbalanced Data: Credit Fraud Detection
Thanh Cong Tran, Tran Khanh Dang
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2021), pp. 1-7
Closed Access | Times Cited: 26
Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models
Ivan Vorobyev, A. D. Krivitskaya
Computers & Security (2022) Vol. 120, pp. 102786-102786
Closed Access | Times Cited: 18
Credit Card Fraud Detection using Machine and Deep Learning Techniques
Shagun Sharma, Anjali Kataria, Jasminder Kaur Sandhu, et al.
2022 3rd International Conference for Emerging Technology (INCET) (2022), pp. 1-7
Closed Access | Times Cited: 18
Towards Design Principles for User-Centric Explainable AI in Fraud Detection
Douglas Cirqueira, Markus Helfert, Marija Bezbradica
Lecture notes in computer science (2021), pp. 21-40
Open Access | Times Cited: 20
A comprehensive survey of anomaly detection in banking, wireless sensor networks, social networks, and healthcare
Mohamad Zamini, Seyed Mohammad Hossein Hasheminejad
Intelligent Decision Technologies (2019) Vol. 13, Iss. 2, pp. 229-270
Closed Access | Times Cited: 23
Credit Card Fraud Detection Challenges and Solutions: A Review
Sumaya Saad, Ibraheem Nadher Ibraheem, Sarab M. Hameed
Iraqi Journal of Science (2024), pp. 2287-2303
Open Access | Times Cited: 2
Online Transaction Anomaly Detection Model for Credit Card Usage Using Machine Learning Classifiers
Bipin Bihari Jayasingh, G. Bhagya Sri
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-5
Closed Access | Times Cited: 5
E-commerce Merchant Fraud Detection using Machine Learning Approach
Fahim Hasan, Sourov Kumar Mondal, Md. Rayhan Kabir, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2022)
Closed Access | Times Cited: 8
Credit Card Fraud Detection: A Systematic Review
C. Victoria Priscilla, D. Padma Prabha
Learning and analytics in intelligent systems (2020), pp. 290-303
Closed Access | Times Cited: 12
Comparative Review of Credit Card Fraud Detection using Machine Learning and Concept Drift Techniques
Oluwadare Samuel Adebayo, Thompson Aderonke Favour-Bethy, Otasowie Owolafe, et al.
International Journal of Computer Science and Mobile Computing (2023) Vol. 12, Iss. 7, pp. 24-48
Open Access | Times Cited: 4
Credit Card Fraud Detection based on Ensemble Machine Learning Classifiers
J. Karthika, A. Senthilselvi
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 1604-1610
Closed Access | Times Cited: 7
A Hybrid Approach Adopted for Credit Card Fraud Detection Based on Deep Neural Networks and Attention Mechanism
V. Maheshwari, Nurul Aida Osman, Norshakirah Aziz
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 32, Iss. 1, pp. 315-331
Open Access | Times Cited: 3
Credit Card Fraud Detection using Imbalance Resampling Method with Feature Selection

International Journal of Advanced Trends in Computer Science and Engineering (2021) Vol. 10, Iss. 3, pp. 2061-2071
Open Access | Times Cited: 7
Detecting Credit Card Frauds Using Isolation Forest And Local Outlier Factor - Analytical Insights
Narendra Zadafiya, Jenish Karasariya, Parthkumar Kanani, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 1588-1594
Closed Access | Times Cited: 4
A Novel Approach for Credit Card Fraud Transaction Detection Using Deep Reinforcement Learning Scheme
Abdul Qayoom, Mansoor Ahmed Khuhro, Kamlesh Kumar, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
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