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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 26-50 of 58 citing articles:

Detecting Information Theft Attacks in the Bot-IoT Dataset
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 807-812
Closed Access | Times Cited: 10
Predictive and adaptive Drift Analysis on Decomposed Healthcare Claims using ART based Topological Clustering
Lavanya Settipalli, G. R. Gangadharan, Ugo Fiore
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102887-102887
Closed Access | Times Cited: 6
Detection of Health Insurance Fraud using Bayesian Optimized XGBoost
Saravanan Parthasarathy, L. Arun Raj, A. Abdul Azeez Khan, et al.
International Journal of Safety and Security Engineering (2023) Vol. 13, Iss. 5, pp. 853-861
Open Access | Times Cited: 3
A Review of Fraudulent Practices in Healthcare Insurance and Machine Learning-Based Investigation Approaches
Aishat Salau, Nwojo Agwu Nnanna, Moussa Mahamat Boukar
(2023), pp. 1-8
Closed Access | Times Cited: 3
A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
(2022), pp. 63-68
Closed Access | Times Cited: 5
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, et al.
Lecture notes in computer science (2023), pp. 639-658
Closed Access | Times Cited: 2
Improving the Accuracy and Performance of Deep Learning Model by Applying Hybrid Grey Wolf Whale Optimizer to P&C Insurance Data
Sushanth Manakhari, Yanzhen Qu
European Journal of Electrical Engineering and Computer Science (2023) Vol. 7, Iss. 4, pp. 17-26
Open Access | Times Cited: 2
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 1427-1434
Closed Access | Times Cited: 4
Output Thresholding for Ensemble Learners and Imbalanced Big Data
Justin Johnson, Taghi M. Khoshgoftaar
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 1449-1454
Closed Access | Times Cited: 5
Healthcare Provider Summary Data for Fraud Classification
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 236-242
Closed Access | Times Cited: 3
Hyperparameter Tuning for Medicare Fraud Detection in Big Data
John Hancock, Taghi M. Khoshgoftaar
SN Computer Science (2022) Vol. 3, Iss. 6
Closed Access | Times Cited: 3
Detecting Financial Statement Fraud with Interpretable Machine Learning
Zhongzhu Liu, Rongguang Ye, Rongye Ye
Research Square (Research Square) (2021)
Open Access | Times Cited: 4
Medicare Fraud Detection Using WTBagging Algorithm
Jiahe Yao, Siyu Yu, Changwu Wang, et al.
2021 7th International Conference on Computer and Communications (ICCC) (2021), pp. 1515-1519
Closed Access | Times Cited: 4
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers
Richard Zuech, John Hancock, Taghi M. Khoshgoftaar
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 30-37
Closed Access | Times Cited: 4
Systematic Tracking of Insurance Fraud Detection
N. Ambika
Advances in computational intelligence and robotics book series (2024), pp. 114-122
Closed Access
A Novel Machine Learning Approach For handling Imbalanced Data: Leveraging SMOTE-ENN and XGBoost
Rayene Bounab, Bouchra Guelib, Karim Zarour
(2024) Vol. 1, pp. 1-7
Closed Access
Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost
Bismah Hasan, Zubair Zubair, Shahrukh Ali Shaikh, et al.
Deleted Journal (2024) Vol. 4, Iss. 02
Open Access
Analysis of Supervised Machine-Learning Techniques in Computer Networks Attack Detection
Bruno Guazzelli Batista, Domingos Paes, Carlos Henrique Valério de Moraes
(2024)
Closed Access
Framework to develop a data-driven resilient and sustainable health information system for health care applications
Ayogeboh Epizitone
(2024)
Open Access
Domain adaptation through active learning strategies for anomaly classification in wastewater treatment plants
Francesca Bellamoli, Marco Vian, Mattia Di Iorio, et al.
Water Science & Technology (2024) Vol. 90, Iss. 11, pp. 3123-3138
Open Access
Fraud detection in healthcare claims using machine learning: A systematic review
Anli du Preez, Sanmitra Bhattacharya, Peter A. Beling, et al.
Artificial Intelligence in Medicine (2024) Vol. 160, pp. 103061-103061
Closed Access
Using Random Undersampling and Ensemble Feature Selection for IoT Attack Prediction
Joffrey L. Leevy, Taghi M. Khoshgoftaar, John M. Hancock
International Journal of Reliability Quality and Safety Engineering (2023) Vol. 31, Iss. 01
Closed Access | Times Cited: 1
Detecting Fraud in Motor Insurance Claims Using XGBoost Algorithm with SMOTE
David Gichohi Maina, Juliet Chebet Moso, Patrick Kinyua Gikunda
(2023), pp. 61-66
Closed Access | Times Cited: 1
Healthcare Fraud Detection Using Machine Learning
Idowu Aruleba, Yanxia Sun
(2023)
Closed Access | Times Cited: 1
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches
Huanjing Wang, Qianxin Liang, John Hancock, et al.
(2023), pp. 75-82
Closed Access | Times Cited: 1

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