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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:

Performance of CatBoost and XGBoost in Medicare Fraud Detection
John Hancock, Taghi M. Khoshgoftaar
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020), pp. 572-579
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

CatBoost for big data: an interdisciplinary review
John Hancock, Taghi M. Khoshgoftaar
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 836
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
Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis
Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, et al.
Micromachines (2023) Vol. 14, Iss. 2, pp. 265-265
Open Access | Times Cited: 30
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning
Gabriel Spadon, Shenda Hong, Bruno Brandoli Machado, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 9, pp. 5368-5384
Open Access | Times Cited: 52
Detecting cybersecurity attacks across different network features and learners
Joffrey L. Leevy, John M. Hancock, Richard Zuech, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 51
Application of machine learning algorithms and feature selection methods for better prediction of sludge production in a real advanced biological wastewater treatment plant
Ekin Ekıncı, Bilge Özbay, Sevinç İlhan Omurca, et al.
Journal of Environmental Management (2023) Vol. 348, pp. 119448-119448
Closed Access | Times Cited: 17
Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Huu Duy Nguyen, Dinh Kha Dang, Nhu Y Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 284-304
Open Access | Times Cited: 13
One-Class Classification for Credit Card Fraud Detection: A Detailed Study with Comparative Insights from Binary Classification
Joffrey L. Leevy, John M. Hancock, Taghi M. Khoshgoftaar, et al.
Springer series in reliability engineering (2025), pp. 117-140
Closed Access
An Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis
Dudla Anil kumar, Braham Himed Raghuveer M. Rao, B. E. Rangaswamy, et al.
(2025), pp. 61-77
Closed Access
Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review
Yi-Chih Lee, Chip‐Jin Ng, Chun‐Chuan Hsu, et al.
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
A tree-based explainable AI model for early detection of Covid-19 using physiological data
Manar Abu Talib, Yaman Afadar, Qassim Nasir, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Weighted Variable Optimization-Based Method for Estimating Soil Salinity Using Multi-Source Remote Sensing Data: A Case Study in the Weiku Oasis, Xinjiang, China
Zhuohan Jiang, Zhe Hao, Jianli Ding, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3145-3145
Open Access | Times Cited: 3
A Bagged Ensemble Convolutional Neural Networks Approach to Recognize Insurance Claim Frauds
Youness Abakarim, Mohamed Lahby, Abdelbaki Attioui
Applied System Innovation (2023) Vol. 6, Iss. 1, pp. 20-20
Open Access | Times Cited: 8
CatBoost for Big Data: an Interdisciplinary Review
John Hancock, Taghi M. Khoshgoftaar
Research Square (Research Square) (2020)
Open Access | Times Cited: 22
Investigating the effectiveness of one-class and binary classification for fraud detection
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Integrated machine learning and remote sensing for groundwater potential mapping in the Mekong Delta in Vietnam
Huu Duy Nguyen, Quoc‐Huy Nguyen, Dinh Kha Dang, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2
Speed prediction and nearby road impact analysis using machine learning and ensemble of explainable AI techniques
Meherun Nesa, Young Yoon
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
CatBoost for Big Data: an Interdisciplinary Review
John Hancock, Taghi M. Khoshgoftaar
Research Square (Research Square) (2020)
Open Access | Times Cited: 19
A Machine Learning Model for Predicting Unscheduled 72 h Return Visits to the Emergency Department by Patients with Abdominal Pain
Chun‐Chuan Hsu, Cheng-C.J. Chu, Ching-Heng Lin, et al.
Diagnostics (2021) Vol. 12, Iss. 1, pp. 82-82
Open Access | Times Cited: 16
Enhancing Intrusion Detection Systems with XGBoost Feature Selection and Deep Learning Approaches
Khalid A. Binsaeed, Alaaeldin M. Hafez
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 6
A robust approach to shear strength prediction of reinforced concrete deep beams using ensemble learning with SHAP interpretability
Achyut Tiwari, Ashok Kumar Gupta, Tanmay Gupta
Soft Computing (2023) Vol. 28, Iss. 7-8, pp. 6343-6365
Closed Access | Times Cited: 6
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
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
Predicting Suspicious Money Laundering Transactions using Machine Learning Algorithms
Mark Lokanan, Vikas Maddhesia
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
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