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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:

Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection
John Hancock, Taghi M. Khoshgoftaar
SN Computer Science (2021) Vol. 2, Iss. 4
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 121
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
Huanjing Wang, Qianxin Liang, John Hancock, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 53
A Survey of Decision Trees: Concepts, Algorithms, and Applications
Ibomoiye Domor Mienye, Nobert Jere
IEEE Access (2024) Vol. 12, pp. 86716-86727
Open Access | Times Cited: 36
Uncertainty-aware credit card fraud detection using deep learning
Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106248-106248
Open Access | Times Cited: 29
Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN
Rayene Bounab, Karim Zarour, Bouchra Guelib, et al.
IEEE Access (2024) Vol. 12, pp. 54382-54396
Open Access | Times Cited: 5
Benchmarking One Class Classification in Banking, Insurance, and Cyber Security
C. Priyanka, Yelleti Vivek, Vadlamani Ravi
Smart innovation, systems and technologies (2025), pp. 1-14
Closed Access
IoT information theft prediction using ensemble feature selection
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 21
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
Lavanya Settipalli, G. R. Gangadharan
Expert Systems with Applications (2022) Vol. 215, pp. 119259-119259
Closed Access | Times Cited: 21
Identifying Disease and Diagnosis in Females Using Machine Learning
Sabyasachi Pramanik, Samir Kumar Bandyopadhyay
IGI Global eBooks (2022), pp. 3120-3143
Closed Access | Times Cited: 20
Explainable machine learning models for Medicare fraud detection
John Hancock, Richard A. Bauder, Huanjing Wang, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Wallet-Based Transaction Fraud Prevention Through LightGBM With the Focus on Minimizing False Alarms
Can İşcan, Osman Kumas, Fatma Patlar Akbulut, et al.
IEEE Access (2023) Vol. 11, pp. 131465-131474
Open Access | Times Cited: 11
Utilization Analysis and Fraud Detection in Medicare via Machine Learning
Mahan Tajrobehkar, Xin Guo, Diane Nguyen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification
John Hancock, Taghi M. Khoshgoftaar, Justin Johnson
(2022), pp. 1419-1426
Closed Access | Times Cited: 16
Leveraging LightGBM for Categorical Big Data
John Hancock, Taghi M. Khoshgoftaar
(2021), pp. 149-154
Closed Access | Times Cited: 21
Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique
Huanjing Wang, Qianxin Liang, John Hancock, et al.
(2023), pp. 121-126
Closed Access | Times Cited: 8
Impact of Hyperparameter Tuning in Classifying Highly Imbalanced Big Data
John Hancock, Taghi M. Khoshgoftaar
(2021), pp. 348-354
Closed Access | Times Cited: 19
Review on Decision Tree Algorithm in Healthcare Applications
Hozan Akram Abdulqader, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access | Times Cited: 2
The Effects of Random Undersampling for Big Data Medicare Fraud Detection
John Hancock, Taghi M. Khoshgoftaar, Justin Johnson
(2022), pp. 141-146
Closed Access | Times Cited: 12
Evaluating Performance Metrics for Credit Card Fraud Classification
Joffrey L. Leevy, Taghi M. Khoshgoftaar, John Hancock
(2022), pp. 1336-1341
Closed Access | Times Cited: 9
A Study on Imbalanced Data Classification for Various Applications
Kunda Suresh Babu, Yamarthi Narasimha Rao
Revue d intelligence artificielle (2023) Vol. 37, Iss. 2, pp. 517-524
Open Access | Times Cited: 5
A Comparative Analysis of Fraud Detection in Healthcare using Data Balancing & Machine Learning Techniques
Nikita Agrawal, Suvasini Panigrahi
(2023) Vol. 26, pp. 1-4
Closed Access | Times Cited: 5
Research on Financial Fraud Detection Models Integrating Multiple Relational Graphs
Jianfeng Li, Dexiang Yang
Systems (2023) Vol. 11, Iss. 11, pp. 539-539
Open Access | Times Cited: 5
Optimizing Ensemble Trees for Big Data Healthcare Fraud Detection
John Hancock, Taghi M. Khoshgoftaar
(2022), pp. 243-249
Closed Access | Times Cited: 8
A Comparative Approach to Threshold Optimization for Classifying Imbalanced Data
John Hancock, Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 135-142
Closed Access | Times Cited: 8
Encoding Techniques for High-Cardinality Features and Ensemble Learners
Justin Johnson, Taghi M. Khoshgoftaar
(2021), pp. 355-361
Closed Access | Times Cited: 10
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