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:

Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model
Surjeet Dalal, Bijeta Seth, Magdalena Rădulescu, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4679-4679
Open Access | Times Cited: 21

Showing 21 citing articles:

Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Ibomoiye Domor Mienye, Nobert Jere
Information (2024) Vol. 15, Iss. 7, pp. 394-394
Open Access | Times Cited: 19
Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
E. Jayanthi, T. Ramesh, Reena Kharat, et al.
Soft Computing (2023) Vol. 27, Iss. 11, pp. 7555-7565
Open Access | Times Cited: 16
A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand’s Border Trade Context
Praiya Panjee, Sataporn Amornsawadwatana
Risks (2024) Vol. 12, Iss. 2, pp. 25-25
Open Access | Times Cited: 4
Predicting financial fraud in Chinese listed companies: An enterprise portrait and machine learning approach
Z. Hu J.W. Zhang, Zhao Wang, Lixin Cai
Pacific-Basin Finance Journal (2025) Vol. 90, pp. 102665-102665
Closed Access
Deep Diving into Financial Frauds via Ad Click, Credit Card Management and Document Dispensation in E‐Commerce Transactions
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert
(2025), pp. 99-123
Closed Access
Dark Web Financial Fraud Identification Using Mathematical Models in Healthcare Domain
Anand Singh Rajawat, S. B. Goyal, Ram Kumar Solanki, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 107-107
Open Access | Times Cited: 3
Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning
Shiyu Sun, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere (2024) Vol. 363, pp. 142701-142701
Closed Access | Times Cited: 2
The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning
Alexey Ruchay, Elena V. Feldman, Dmitriy Cherbadzhi, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2862-2862
Open Access | Times Cited: 6
Hyperparameters Optimization in XGBoost Model for Rainfall Estimation: A Case Study in Pontianak City
Auriwan Yasper, Djati Handoko, Maulana Putra, et al.
Jurnal Penelitian Pendidikan IPA (2023) Vol. 9, Iss. 9, pp. 7113-7121
Open Access | Times Cited: 5
Developing and comparing machine learning approaches for predicting insurance penetration rates based on each country
Seyed Farshid Ghorashi, Maziyar Bahri, Atousa Goodarzi
Letters in Spatial and Resource Sciences (2024) Vol. 17, Iss. 1
Closed Access | Times Cited: 1
Financial fraud detection through the application of machine learning techniques: a literature review
Ludivia Hernández Aros, Luisa Ximena Bustamante Molano, Fernando Gutiérrez-Portela, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Driving Technologies of Industry 5.0 in the Medical Field
Surjeet Dalal, Bijeta Seth, Magdalena Rădulescu
Emerald Publishing Limited eBooks (2023), pp. 267-292
Closed Access | Times Cited: 4
ChaoG-GRU: Healthcare Transaction Fraud Detection using Chaotic Iterative Gazelle-based Gated Recurrent Unit Technique
Aruna Sri Rongali, Mounika Nalluri, Chinna Babu Mupparaju, et al.
(2024), pp. 1-6
Closed Access
Study on Application of Artificial Intelligence and Machine Learning in the Banking Sector for Fraud Detection and Prevention
Retheesh P. Pillai, D. Ponmary Pushpa Latha
Advances in computer and electrical engineering book series (2024), pp. 359-382
Closed Access
Optimizing Linear Regression model in Water Hardness Prediction for Industry 4.0
Arpna, Nikhil, Surjeet Dalal
(2024), pp. 73-91
Closed Access
Design of Machine-Learning Framework for Cyber Attack Detection in Internet of Healthcare Things (IoHT): Critical Analysis
SURBHI SURBHI, Nupa Ram Chouhan, Neeraj Dahiya
(2024), pp. 59-71
Closed Access
Prediction of power network planning demand coefficient using eXtreme Gradient Boosting algorithm
Lixiang Lin, Guoyue Wu, Chenxi Zhang, et al.
(2023), pp. 629-632
Closed Access | Times Cited: 1
Algorithmic Implementation for Insurance Fraud Detection
Yaqi Chen, Qianshuo Feng, Jiexin Zhang, et al.
Academic Journal of Computing & Information Science (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 1
A Novel Ensemble Model for Load Forecasting: Integrating Random Forest, XGBoost, and Seasonal Naive Methods
Senyao Wang, Jin Ma
(2023), pp. 114-118
Closed Access | Times Cited: 1
Combination of XGBoost - Grid Search with SVM for Diabetes Diagnostics
Khairun Nisa Berawi, Erliyan Redy Susanto, Agus Wantoro, et al.
(2023)
Closed Access
Hybrid deep learning model for IT-OT integration in Industry 4.0
Devansh Gahlawat, Shilpa Suhag, Uma Rani, et al.
(2023) Vol. 11, pp. 1025-1030
Closed Access
Page 1

Scroll to top