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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:

Medical Provider Embeddings for Healthcare Fraud Detection
Justin Johnson, Taghi M. Khoshgoftaar
SN Computer Science (2021) Vol. 2, Iss. 4
Closed Access | Times Cited: 20

Showing 20 citing articles:

Evaluating classifier performance with highly imbalanced Big Data
John Hancock, Taghi M. Khoshgoftaar, Justin Johnson
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 34
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: 6
A Computational Intelligence Approach for Predicting Medical Insurance Cost
Ch Anwar Ul Hassan, Jawaid Iqbal, Saddam Hussain, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 39
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
Leveraging evolutionary algorithms with a dynamic weighted search space approach for fraud detection in healthcare insurance claims
Mohammad Tubishat, Dina Tbaishat, Ala’ M. Al-Zoubi, et al.
Knowledge-Based Systems (2025), pp. 113436-113436
Closed Access
A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems
Irum Matloob, Shoab Ahmed Khan, Rukaiya Rukaiya, et al.
IEEE Access (2022) Vol. 10, pp. 48447-48463
Open Access | Times Cited: 18
Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology
Gregor Duwe, Dominique Mercier, Crispin Wiesmann, et al.
Cancer Medicine (2024) Vol. 13, Iss. 12
Open Access | Times Cited: 3
Leveraging LightGBM for Categorical Big Data
John Hancock, Taghi M. Khoshgoftaar
(2021), pp. 149-154
Closed Access | Times Cited: 23
Unraveling Patterns in Healthcare Fraud through Comprehensive Analysis
Khushi E Chirchi, B. Kavya
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 585-591
Closed Access | Times Cited: 2
Encoding Techniques for High-Cardinality Features and Ensemble Learners
Justin Johnson, Taghi M. Khoshgoftaar
(2021), pp. 355-361
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
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
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data
Justin Johnson, Taghi M. Khoshgoftaar
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 1182-1188
Closed Access | Times Cited: 4
Medical Insurance Price Prediction Using Machine Learning
Md Mohtaseem Billa
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 2270-2279
Open Access
Using Graph Attention Networks in Healthcare Provider Fraud Detection
Shahla Mardani, Hadi Moradi
IEEE Access (2024) Vol. 12, pp. 132786-132800
Open Access
Einsatz neuer Technologien: Künstliche Intelligenz in der medizinischen Entscheidungsfindung – Status quo und Perspektiven einer interdisziplinären Herausforderung
Gregor Duwe, Dominique Mercier, Crispin Wiesmann, et al.
Springer eBooks (2024), pp. 699-731
Closed 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
DuKA: A Dual-Keyless-Attention Model for Multi-modality EHR Data Fusion and Organ Failure Prediction
Zhangdaihong Liu, Xuan Wu, Yang Yang, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 4, pp. 1247-1256
Open Access | Times Cited: 1
Provider profiling and labeling of fraudulent health insurance claims using Weighted MultiTree
Lavanya Settipalli, G. R. Gangadharan
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 4, pp. 3487-3508
Closed Access | Times Cited: 3
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