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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:

Medicare fraud detection using neural networks
Justin Johnson, Taghi M. Khoshgoftaar
Journal Of Big Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 98

Showing 26-50 of 98 citing articles:

How to detect healthcare fraud? “A systematic review”
Andi Yaumil Bay R. Thaifur, M. Alimin Maidin, Andi Indahwaty Sidin, et al.
Gaceta Sanitaria (2021) Vol. 35, pp. S441-S449
Open Access | Times Cited: 18
Two-stage GNN-based fraud detection with camouflage identification and enhanced semantics aggregation
Jun Zhang, Jianguang Lu, Xianghong Tang
Neurocomputing (2023) Vol. 570, pp. 127108-127108
Closed Access | Times Cited: 7
Collaborative artificial intelligence system for investigation of healthcare claims compliance
Marco Luca Sbodio, Vanessa López, Thanh Lam Hoang, et al.
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
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
BIBLIOMETRIC ANALYSIS ON BIG DATA APPLICATIONS IN INSURANCE SECTOR: PAST, PRESENT, AND FUTURE RESEARCH DIRECTIONS
Sunita Mall, Tushar Ranjan Panigrahi, Sushma Verma
Journal of Financial Management Markets and Institutions (2023) Vol. 11, Iss. 01
Closed Access | Times Cited: 6
Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures
Vera Röhr, Benjamin Blankertz, Finn M. Radtke, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 10
Application of machine learning for patient response prediction to cardiac resynchronization therapy
Brendan E. Odigwe, Alireza Bagheri Rajeoni, Celestine I. Odigwe, et al.
(2022), pp. 1-4
Closed Access | Times Cited: 9
Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim
Ranu A. Nugraha, Hilman F. Pardede, Agus Subekti
Kuwait Journal of Science (2022)
Open Access | Times Cited: 8
Optimizing Ensemble Trees for Big Data Healthcare Fraud Detection
John Hancock, Taghi M. Khoshgoftaar
(2022), pp. 243-249
Closed Access | Times Cited: 8
Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction
Justin Johnson, Taghi M. Khoshgoftaar
(2020), pp. 145-152
Closed Access | Times Cited: 12
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar, Neil Shah, Leman Akoglu
(2021), pp. 210-220
Open Access | Times Cited: 11
Optimizing efficiency and accuracy in medicare and medicaid fraud detection through artificial intelligence and machine learning
Shunyi Zhang
(2024)
Open Access | Times Cited: 1
Gümrük Kontrol Noktalarında Riskli Geçişlerin Belirlenmesine Yönelik Yapay Zekâ Temelli Bir Yaklaşım
Ezgi Zehra Şeker, Ebru Geçici, Alev Taşkın Gümüş
Karadeniz Fen Bilimleri Dergisi (2024) Vol. 14, Iss. 2, pp. 476-492
Open Access | Times Cited: 1
Leveraging AI Algorithms to Combat Financial Fraud in the United States Healthcare Sector
Pelumi Oladokun, Adekoya Yetunde, Temidayo Osinaike, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1788-1792
Open Access | Times Cited: 1
Health care fraud classifiers in practice
Tahir Ekin, Luca Frigau, Claudio Conversano
Applied Stochastic Models in Business and Industry (2021) Vol. 37, Iss. 6, pp. 1182-1199
Open Access | Times Cited: 10
Semantic Embeddings for Medical Providers and Fraud Detection
Justin Johnson, Taghi M. Khoshgoftaar
(2020), pp. 224-230
Closed Access | Times Cited: 9
Handling Class Imbalance in Online Transaction Fraud Detection
Kanika Kanika, Jimmy Singla, Ali Kashif Bashir, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 2, pp. 2861-2877
Open Access | Times Cited: 9
Multiple Inputs Neural Networks for Fraud Detection
Mansour Zoubeirou a Mayaki, Michel Riveill
(2022), pp. 8-13
Open Access | Times Cited: 6
Design and development of big data-based model for detecting fraud in healthcare insurance industry
A. Jenita Mary, S. P. Angelin Claret
Soft Computing (2023) Vol. 27, Iss. 12, pp. 8357-8369
Closed Access | Times Cited: 3
Importance of Machine Learning Models in Healthcare Fraud Detection
Leelakumar Raja Lekkala
Voice of the Publisher (2023) Vol. 09, Iss. 04, pp. 207-215
Open Access | Times Cited: 3
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 New Model to Identify the Reliability and Trust of Internet Banking Users Using Fuzzy Theory and Data-Mining
Hamid Bekamiri, Seyedeh Fatemeh Ghasempour Ganji, Biagio Simonetti, et al.
Mathematics (2021) Vol. 9, Iss. 9, pp. 916-916
Open Access | Times Cited: 8
Comparing ROC Curve based Thresholding Methods in Online Transactions Fraud Detection System using Deep Learning
Kanika Kanika, Jimmy Singla, Nikita Nikita
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2021), pp. 9-12
Closed Access | Times Cited: 8
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

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