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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:

Sequence classification for credit-card fraud detection
Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, et al.
Expert Systems with Applications (2018) Vol. 100, pp. 234-245
Closed Access | Times Cited: 332

Showing 1-25 of 332 citing articles:

A comprehensive survey on support vector machine classification: Applications, challenges and trends
Jair Cervantes, Farid García‐Lamont, Lisbeth Rodríguez-Mazahua, et al.
Neurocomputing (2020) Vol. 408, pp. 189-215
Open Access | Times Cited: 1574
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1178
Deep learning for financial applications : A survey
Ahmet Murat Özbayoğlu, Mehmet Ugur Gudelek, Ömer Berat Sezer
Applied Soft Computing (2020) Vol. 93, pp. 106384-106384
Open Access | Times Cited: 375
Combining unsupervised and supervised learning in credit card fraud detection
Fabrizio Carcillo, Yann‐Aël Le Borgne, Olivier Caelen, et al.
Information Sciences (2019) Vol. 557, pp. 317-331
Open Access | Times Cited: 317
An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine
Altyeb Taha, Sharaf J. Malebary
IEEE Access (2020) Vol. 8, pp. 25579-25587
Open Access | Times Cited: 297
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Waleed Hilal, S. Andrew Gadsden, John Yawney
Expert Systems with Applications (2021) Vol. 193, pp. 116429-116429
Open Access | Times Cited: 260
Deep learning in finance and banking: A literature review and classification
Huang Jian, Junyi Chai, Stella Cho
Frontiers of Business Research in China (2020) Vol. 14, Iss. 1
Open Access | Times Cited: 177
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM
Yongan Zhang, Binbin Yan, Aasma Memon
Expert Systems with Applications (2020) Vol. 159, pp. 113609-113609
Closed Access | Times Cited: 171
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
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, et al.
IEEE Access (2020) Vol. 8, pp. 132330-132347
Open Access | Times Cited: 154
Ensemble of deep sequential models for credit card fraud detection
Javad Forough, Saeedeh Momtazi
Applied Soft Computing (2020) Vol. 99, pp. 106883-106883
Closed Access | Times Cited: 140
Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 120
How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda
Vinay Singh, Shiuann-Shuoh Chen, Minal Singhania, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100094-100094
Open Access | Times Cited: 113
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection
Hosein Fanai, Hossein Abbasimehr
Expert Systems with Applications (2023) Vol. 217, pp. 119562-119562
Closed Access | Times Cited: 88
Credit card fraud detection in the era of disruptive technologies: A systematic review
Asma Cherif, Arwa Badhib, Heyfa Ammar, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 35, Iss. 1, pp. 145-174
Open Access | Times Cited: 85
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 69
COMBATING BANKING FRAUD WITH IT: INTEGRATING MACHINE LEARNING AND DATA ANALYTICS
Nur Mohammad, Md Ahsan Ullah Imran, M. Prabha, et al.
The American Journal of Management and Economics Innovations (2024) Vol. 6, Iss. 7, pp. 39-56
Open Access | Times Cited: 16
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
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
Yvan Lucas, Pierre-Édouard Portier, Léa Laporte, et al.
Future Generation Computer Systems (2019) Vol. 102, pp. 393-402
Open Access | Times Cited: 118
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention
Dawei Cheng, Xiaoyang Wang, Ying Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3800-3813
Closed Access | Times Cited: 108
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
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
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting
Allen Kim, Yaodong Yang, Stefan Lessmann, et al.
European Journal of Operational Research (2019) Vol. 283, Iss. 1, pp. 217-234
Open Access | Times Cited: 93
Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression
Ameer Hussein, Rihab Salah Khairy, Shaima Miqdad Mohamed Najeeb, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 05, pp. 24-24
Open Access | Times Cited: 91
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Ibtissam Benchaji, Samira Douzi, Bouabid El Ouahidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 88
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