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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:

Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
Akila Somasundaram, U. Srinivasulu Reddy
Neural Computing and Applications (2018) Vol. 31, Iss. S1, pp. 3-14
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Ensemble of deep sequential models for credit card fraud detection
Javad Forough, Saeedeh Momtazi
Applied Soft Computing (2020) Vol. 99, pp. 106883-106883
Closed Access | Times Cited: 138
Meta-learning approaches for learning-to-learn in deep learning: A survey
Yingjie Tian, Xiaoxi Zhao, Wei Huang
Neurocomputing (2022) Vol. 494, pp. 203-223
Closed Access | Times Cited: 83
XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring
Chao Qin, Yunfeng Zhang, Fangxun Bao, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 75
Selective oversampling approach for strongly imbalanced data
Peter Gnip, Liberios Vokorokos, Peter Drotár
PeerJ Computer Science (2021) Vol. 7, pp. e604-e604
Open Access | Times Cited: 63
Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications
Branka Stojanović, Josip Božić, Katharina Hofer-Schmitz, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1594-1594
Open Access | Times Cited: 62
Application of Gradient Boosting Algorithms for Anti-money Laundering in Cryptocurrencies
Dylan Vassallo, Vincent Vella, Joshua Ellul
SN Computer Science (2021) Vol. 2, Iss. 3
Closed Access | Times Cited: 62
Concept Drift Adaptation Techniques in Distributed Environment for Real-World Data Streams
Hassan Mehmood, Panos Kostakos, Marta Cortés, et al.
Smart Cities (2021) Vol. 4, Iss. 1, pp. 349-371
Open Access | Times Cited: 57
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka
IEEE Transactions on Artificial Intelligence (2022) Vol. 3, Iss. 6, pp. 973-993
Closed Access | Times Cited: 40
A survey for user behavior analysis based on machine learning techniques: current models and applications
Alejandro G. Martín, Alberto Fernández-Isabel, Isaac Martín de Diego, et al.
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 6029-6055
Closed Access | Times Cited: 53
Gamma distribution-based sampling for imbalanced data
Firuz Kamalov, Dmitry Denisov
Knowledge-Based Systems (2020) Vol. 207, pp. 106368-106368
Open Access | Times Cited: 50
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets
Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, et al.
IEEE Access (2019) Vol. 8, pp. 2122-2133
Open Access | Times Cited: 51
Bank Fraud Detection using Community Detection Algorithm
Dhiman Sarma, Wahidul Alam, Ishita Saha, et al.
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (2020), pp. 642-646
Closed Access | Times Cited: 42
Fraud Detection in Credit Cards using Logistic Regression
Hala Z Alenzi, O. Nojood
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 12
Open Access | Times Cited: 39
Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review
Suraya Nurain Kalid, Kok–Chin Khor, Keng-Hoong Ng, et al.
IEEE Access (2024) Vol. 12, pp. 23636-23652
Open Access | Times Cited: 5
The Potential of Energy-Based RBM and xLSTM for Real-Time Predictive Analytics in Credit Card Fraud Detection
Peyman Baghdadi, Serdar Korukoğlu, Mehmet Ali Bilici, et al.
Journal of Data Analysis and Information Processing (2025) Vol. 13, Iss. 01, pp. 79-100
Open Access
Suspicious transaction detection in banking cyber–physical systems
Aysha Shabbir, Maryam Shabir, Abdul Rehman Javed, et al.
Computers & Electrical Engineering (2021) Vol. 97, pp. 107596-107596
Closed Access | Times Cited: 24
Heterogeneous graph neural networks for fraud detection and explanation in supply chain finance
Bin Wu, Kuo‐Ming Chao, Yinsheng Li
Information Systems (2023) Vol. 121, pp. 102335-102335
Closed Access | Times Cited: 10
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, et al.
Journal of Biomedical Informatics (2022) Vol. 129, pp. 104072-104072
Open Access | Times Cited: 15
Enhanced algorithmic modelling and architecture in deep reinforcement learning based on wireless communication Fintech technology
Kamal Upreti, Mohammad Haider Syed, Mohiuddin Ali Khan, et al.
Optik (2022) Vol. 272, pp. 170309-170309
Closed Access | Times Cited: 14
A Real-Time Prescriptive Solution for Explainable Cyber-Fraud Detection Within the iGaming Industry
David Farrugia, Christopher Zerafa, Tony Cini, et al.
SN Computer Science (2021) Vol. 2, Iss. 3
Open Access | Times Cited: 18
A comprehensive survey of imbalanced learning methods for bankruptcy prediction
Tuong Le
IET Communications (2021) Vol. 16, Iss. 5, pp. 433-441
Open Access | Times Cited: 18
Neuro-evolutionary models for imbalanced classification problems
Israa Albadarneh, Maria Habib, Ibrahim Aljarah, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 2787-2797
Open Access | Times Cited: 18
Systemic Acquired Critique of Credit Card Deception Exposure through Machine Learning
Rui Miguel Dantas, Raheela Firdaus, Farrokh Jaleel, et al.
Journal of Open Innovation Technology Market and Complexity (2022) Vol. 8, Iss. 4, pp. 192-192
Open Access | Times Cited: 11
A density weighted fuzzy outlier clustering approach for class imbalanced learning
Xiaokang Wang, Huiwen Wang, Yihui Wang
Neural Computing and Applications (2020) Vol. 32, Iss. 16, pp. 13035-13049
Closed Access | Times Cited: 15
Anomaly detection in dynamic attributed networks
Ruizhi Zhou, Qin Zhang, Peng Zhang, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 6, pp. 2125-2136
Closed Access | Times Cited: 15
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