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:

Fraud Detection using Machine Learning and Deep Learning
P. Raghavan, Neamat El Gayar
(2019), pp. 334-339
Closed Access | Times Cited: 109

Showing 51-75 of 109 citing articles:

Device Selection Methods in Federated Learning: A Survey
Aditee Mattoo, Neeraj Jain, Charu Gandhi
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 1

Combatting Digital Financial Fraud through Strategic Deep Learning Approaches
Rishabh Sharma, Ajay P. Sharma
(2024), pp. 824-828
Closed Access | Times Cited: 1

Fraud Detection in Credit Card Transaction Using ANN and SVM
Anchana Shaji, Sumitra Binu, Akhil M. Nair, et al.
Springer eBooks (2021), pp. 187-197
Closed Access | Times Cited: 9

B-LSTM-NB BASED COMPOSITE SEQUENCE LEARNING MODEL FOR DETECTING FRAUDULENT FINANCIAL ACTIVITIES
Arodh Lal Karn, Karamath Ateeq, Sudhakar Sengan, et al.
Malaysian Journal of Computer Science (2022), pp. 30-49
Open Access | Times Cited: 6

Machine Learning-Driven Detection and Prevention of Cryptocurrency Fraud
Anshika Sharma, Himanshi Babbar
(2023), pp. 1-5
Closed Access | Times Cited: 3

Fraud Claims Detection in Insurance Using Machine Learning
Hritik Kalra, Ranvir Singh, T. Senthil Kumar
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. SO3
Open Access | Times Cited: 5

Credit-card Fraud Detection System using Big Data Analytics
Alanoud Alshammari, Reem Falah Alshammari, Maha Altalak, et al.
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (2022), pp. 1-7
Closed Access | Times Cited: 5

DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection
Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 3033-3042
Closed Access | Times Cited: 4

A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network
Nghia Nguyen, Truc Duong, Tram Chau, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3

Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia
Michael Angelos Simos, Christos Makris
Information (2022) Vol. 13, Iss. 8, pp. 367-367
Open Access | Times Cited: 3

Anomaly Detection in Financial Data using Deep Learning: A Comparative Analysis
Kübra Yıldız Domaniç, Sefa Dedebek, Feyza Yıldırım Okay, et al.
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2022) Vol. 28, pp. 1-6
Closed Access | Times Cited: 3

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model
Mudabbir Ali, Asad Masood Khattak, Zain Ali, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 3045-3045
Open Access | Times Cited: 4

E-Commerce Fraud Detection Using Generated Data From BANKSIM Using Machine Learning Approach: A Pilot Study
Nicholas Suardiman, Sudimanto Sudimanto, Setiawan Dhanny, et al.
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2024), pp. 1-4
Closed Access

A survey on novel fraud detection techniques in transaction using machine learning and deep learning
Naiya Suthar, Trilok Suthar, Dhenuka Patel
AIP conference proceedings (2024) Vol. 3107, pp. 050004-050004
Closed Access

Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method
Eka Purnama Harahap, Hindriyanto Dwi Purnomo, Ade Iriani, et al.
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 13-22
Open Access

Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method
Eka Purnama Harahap, Hindriyanto Dwi Purnomo, Ade Iriani, et al.
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 19-28
Open Access

Conserving Certainty of Crypto Transactions with Machine Learning Methodologies
S. Haripriya, D. Banumathy, A. Jeyamurugan, et al.
International Journal of Scientific Research in Science Engineering and Technology (2024) Vol. 11, Iss. 3, pp. 291-293
Open Access

Automated Fraud Detection in Online Transaction Using Representation Learning
U Farjana, Musmade Deepak Sitaram, J. Sathish Kumar
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2024), pp. 1-4
Closed Access

Towards the Development of Resilient Manufacturing Systems: A Systematic Literature Review
Yvonne Magodi, Ilesanmi Daniyan, Khumbulani Mpofu, et al.
(2024), pp. 1-8
Closed Access

New Paradigm in Financial Technology Using Machine Learning Techniques and Their Applications
Deepti Patnaik, Srikanta Patnaik
Intelligent systems reference library (2024), pp. 467-483
Closed Access

PAN Card Tampering Detection using Machine Learning Techniques
H Abdurrahman Lalsudhesh, R Keerthana, N. Radha, et al.
(2024), pp. 316-322
Closed Access

Artificial Intelligence, Finance, and Sustainability: An Overview
Akram Sadati, Dieter Gramlich, Thomas Walker
(2024), pp. 3-16
Closed Access

A Hybrid Genetic Algorithm—Artificial Neural Network Model for Cost Estimation and Corruption Detection of Public Road Rehabilitation Projects in Quezon City
Christopher Jose C. Carlos, Angelo Benjamin D. Dizon
Lecture notes in civil engineering (2024), pp. 385-399
Closed Access

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