Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information
Haolun Shi, Mohammad A. Tayebi, Jian Pei, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10451-10463
Closed Access | Times Cited: 11

Showing 11 citing articles:

Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification
Zhiwen Yu, Wuxing Chen, Kaixiang Yang, et al.
(2025)
Closed Access
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
Entropy‐based hybrid sampling (EHS) method to handle class overlap in highly imbalanced dataset
Anil Kumar, Dinesh Singh, Rama Shankar Yadav
Expert Systems (2024) Vol. 41, Iss. 11
Open Access | Times Cited: 2
UCF-PKS: Unforeseen Consumer Fraud Detection With Prior Knowledge and Semantic Features
Shanyan Lai, Junfang Wu, Chunyang Ye, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 4, pp. 5454-5467
Closed Access | Times Cited: 1
A Spatio-temporal Neural Network for Medical Insurance Fraud Detection
Chenfei Sun
Lecture notes in computer science (2024), pp. 235-244
Closed Access
Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim
Yupeng Wu, Zhibo Zhu, Chaoyi Ma, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3448-3459
Closed Access
Cross-regional Fraud Detection via Continual Learning with Knowledge Transfer
Yujie Li, Xin Yang, Qiang Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7865-7877
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
A Hybrid Federated Learning Model for Insurance Fraud Detection
Y. Supriya, Nancy Victor, Gautam Srivastava, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2023), pp. 1516-1522
Closed Access | Times Cited: 1
Healthcare Insurance Fraud Prediction with Correlation based Forward Feature Selection
Sushma Rath, Suvasini Panigrahi
(2023), pp. 1-5
Closed Access
FraudNet: A Network-centric Method for Balancing and Detecting Anomalies in Healthcare Insurance
JiaLi Hai, Kai Chang, Liangzhi Yuan, et al.
(2023), pp. 389-394
Closed Access
Page 1

Scroll to top