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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:

Cost-sensitive payment card fraud detection based on dynamic random forest and k -nearest neighbors
Sanaz Nami, Mehdi Shajari
Expert Systems with Applications (2018) Vol. 110, pp. 381-392
Closed Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Enhanced credit card fraud detection based on SVM-recursive feature elimination and hyper-parameters optimization
Naoufal Rtayli, Nourddine Enneya
Journal of Information Security and Applications (2020) Vol. 55, pp. 102596-102596
Closed Access | Times Cited: 160
Meta-learning approaches for learning-to-learn in deep learning: A survey
Yingjie Tian, Xiaoxi Zhao, Wei Huang
Neurocomputing (2022) Vol. 494, pp. 203-223
Closed Access | Times Cited: 84
Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework
Petr Hájek, Mohammad Zoynul Abedin, Uthayasankar Sivarajah
Information Systems Frontiers (2022) Vol. 25, Iss. 5, pp. 1985-2003
Open Access | Times Cited: 78
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning
Eunji Kim, Jehyuk Lee, Hunsik Shin, et al.
Expert Systems with Applications (2019) Vol. 128, pp. 214-224
Closed Access | Times Cited: 125
Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection
Zhenchuan Li, Guanjun Liu, Changjun Jiang
IEEE Transactions on Computational Social Systems (2020) Vol. 7, Iss. 2, pp. 569-579
Closed Access | Times Cited: 97
Resampling ensemble model based on data distribution for imbalanced credit risk evaluation in P2P lending
Kun Niu, Zaimei Zhang, Yan Liu, et al.
Information Sciences (2020) Vol. 536, pp. 120-134
Closed Access | Times Cited: 95
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods
Jerzy Błaszczyński, Adiel Teixeira de Almeida Filho, Anna Matuszyk, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113740-113740
Closed Access | Times Cited: 94
ESG score prediction through random forest algorithm
Valeria D’Amato, Rita L. D’Ecclesia, Susanna Levantesi
Computational Management Science (2021) Vol. 19, Iss. 2, pp. 347-373
Closed Access | Times Cited: 71
Unveiling citizen-government interactions in urban renewal in China: Spontaneous online opinions, reginal characteristics, and government responsiveness
Chen Shen, Yang Wang, Yan Xu, et al.
Cities (2024) Vol. 148, pp. 104857-104857
Closed Access | Times Cited: 12
Fraud Detection using Machine Learning
Akinbusola Olushola, Joseph Mart
(2024)
Open Access | Times Cited: 12
Computational approaches and data analytics in financial services: A literature review
Dimitris Andriosopoulos, Michael Doumpos, Pãnos M. Pardalos, et al.
Journal of the Operational Research Society (2019) Vol. 70, Iss. 10, pp. 1581-1599
Open Access | Times Cited: 56
Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
Matheus Kempa Severino, Yaohao Peng
Machine Learning with Applications (2021) Vol. 5, pp. 100074-100074
Open Access | Times Cited: 55
Online Payment Fraud Detection Model Using Machine Learning Techniques
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2023) Vol. 11, pp. 137188-137203
Open Access | Times Cited: 21
A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China
Nana Chai, Bi Wu, Weiwei Yang, et al.
Emerging Markets Finance and Trade (2019) Vol. 55, Iss. 11, pp. 2523-2543
Closed Access | Times Cited: 49
Feature construction for fraudulent credit card cash-out detection
Yue Wu, Yunjie Xu, Jiaoyang Li
Decision Support Systems (2019) Vol. 127, pp. 113155-113155
Closed Access | Times Cited: 49
Online Public Opinion Analysis on Infrastructure Megaprojects: Toward an Analytical Framework
Zhipeng Zhou, Xingnan Zhou, Lingfei Qian
Journal of Management in Engineering (2020) Vol. 37, Iss. 1
Closed Access | Times Cited: 45
Detection of Fraudulent Transactions in Credit Card using Machine Learning Algorithms
Praveen Kumar Sadineni
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2020), pp. 659-660
Closed Access | Times Cited: 45
Predicting mobile money transaction fraud using machine learning algorithms
Mark Lokanan
Applied AI Letters (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 13
A Novel Ensemble Belief Rule-Based Model for Online Payment Fraud Detection
Fan Yang, Guanxiang Hu, Hailong Zhu
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1555-1555
Open Access
Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques
Sivarakesh, Selvakumara
AIP conference proceedings (2025) Vol. 3270, pp. 020186-020186
Closed Access
A novel random forest approach for imbalance problem in crime linkage
Yusheng Li, Hong Chi, Xueyan Shao, et al.
Knowledge-Based Systems (2020) Vol. 195, pp. 105738-105738
Closed Access | Times Cited: 37
IFDTC4.5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection
S. Md. S. Askari, Md. Anwar Hussain
Journal of Information Security and Applications (2020) Vol. 52, pp. 102469-102469
Closed Access | Times Cited: 36
A Heterogeneous Ensemble Learning Model Based on Data Distribution for Credit Card Fraud Detection
Yalong Xie, Aiping Li, Liqun Gao, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 28
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
Wallet-Based Transaction Fraud Prevention Through LightGBM With the Focus on Minimizing False Alarms
Can İşcan, Osman Kumas, Fatma Patlar Akbulut, et al.
IEEE Access (2023) Vol. 11, pp. 131465-131474
Open Access | Times Cited: 11
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