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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:

Predicting mortgage default using convolutional neural networks
Håvard Kvamme, Nikolai Sellereite, Kjersti Aas, et al.
Expert Systems with Applications (2018) Vol. 102, pp. 207-217
Open Access | Times Cited: 135

Showing 26-50 of 135 citing articles:

Predicting Consumer Default: A Deep Learning Approach
Stefania Albanesi, Domonkos Vamossy
(2019)
Open Access | Times Cited: 48
Predictive Models for Loan Default Risk Assessment
Alexandru Coşer, Monica Matei, CRISAN ALBU
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH (2019) Vol. 53, Iss. 2/2019, pp. 149-165
Open Access | Times Cited: 47
Machine learning models for credit analysis improvements: Predicting low-income families’ default
José Rômulo de Castro Vieira, Flávio Barboza, Vinícius Amorim Sobreiro, et al.
Applied Soft Computing (2019) Vol. 83, pp. 105640-105640
Closed Access | Times Cited: 45
Deep generative models for reject inference in credit scoring
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105758-105758
Open Access | Times Cited: 44
AI Documentation: A path to accountability
Florian Königstorfer, Stefan Thalmann
Journal of Responsible Technology (2022) Vol. 11, pp. 100043-100043
Open Access | Times Cited: 25
Analyzing the impact of loan features on bank loan prediction using Random Forest algorithm
Debabrata Dansana, S. Gopal Krishna Patro, Brojo Kishore Mishra, et al.
Engineering Reports (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 15
Don’t Eject the Impostor: Fast Three-Party Computation With a Known Cheater
Andreas Brüggemann, Oliver Schick, Thomas Schneider, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. abs/2112.13338, pp. 503-522
Closed Access | Times Cited: 5
Multi-modal deep learning for credit rating prediction using text and numerical data streams
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, et al.
Applied Soft Computing (2025), pp. 112771-112771
Open Access
Life event-based marketing using AI
Arno De Caigny, Kristof Coussement, Steven Hoornaert, et al.
Journal of Business Research (2025) Vol. 193, pp. 115349-115349
Closed Access
Generative adversarial fusion network for class imbalance credit scoring
Kai Lei, Yuexiang Xie, Shangru Zhong, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 12, pp. 8451-8462
Closed Access | Times Cited: 38
Predicting mortgage early delinquency with machine learning methods
Shunqin Chen, Zhengfeng Guo, Xinlei Zhao
European Journal of Operational Research (2020) Vol. 290, Iss. 1, pp. 358-372
Closed Access | Times Cited: 35
Opening the black box – Quantile neural networks for loss given default prediction
Ralf Kellner, Maximilian Nagl, Daniel Rösch
Journal of Banking & Finance (2021) Vol. 134, pp. 106334-106334
Closed Access | Times Cited: 31
How Artificial Intelligence Incidents Affect Banks and Financial Services Firms? A Study of Five Firms
Isarin Durongkadej, Wenyao Hu, Heng Emily Wang
Finance research letters (2024) Vol. 70, pp. 106279-106279
Closed Access | Times Cited: 4
A federated learning based approach for loan defaults prediction
Geet Shingi
2021 International Conference on Data Mining Workshops (ICDMW) (2020), pp. 362-368
Closed Access | Times Cited: 31
TDEFSI
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
ACM Transactions on Spatial Algorithms and Systems (2020) Vol. 6, Iss. 3, pp. 1-39
Open Access | Times Cited: 29
Multi-grained and multi-layered gradient boosting decision tree for credit scoring
Wanan Liu, Hong Fan, Min Xia
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 5325-5341
Closed Access | Times Cited: 26
Explaining Deep Learning Models for Credit Scoring with SHAP: A Case Study Using Open Banking Data
Lars Ole Hjelkrem, Petter Eilif de Lange
Journal of risk and financial management (2023) Vol. 16, Iss. 4, pp. 221-221
Open Access | Times Cited: 9
Deep Learning and Implementations in Banking
Hossein Hassani, Xu Huang, Emmanuel Sirimal Silva, et al.
Annals of Data Science (2020) Vol. 7, Iss. 3, pp. 433-446
Open Access | Times Cited: 27
Loan Default Prediction with Machine Learning Techniques
Lili Lai
(2020), pp. 5-9
Closed Access | Times Cited: 25
Can machine learning models save capital for banks? Evidence from a Spanish credit portfolio
Andrés Alonso-Robisco, José Manuel Carbó
International Review of Financial Analysis (2022) Vol. 84, pp. 102372-102372
Closed Access | Times Cited: 15
Algorithmic Harm in Consumer Markets
Oren Bar‐Gill, Cass R. Sunstein, Inbal Talgam-Cohen
The Journal of Legal Analysis (2023) Vol. 15, Iss. 1, pp. 1-47
Open Access | Times Cited: 8
E.T.-RNN
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, et al.
(2019), pp. 2183-2190
Open Access | Times Cited: 24
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology
Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103786-103786
Closed Access | Times Cited: 13
Evolving of Smart Banking with NLP and Deep Learning
Bibhu Dash, Swati Swayamsiddha, Azad Ali
Springer eBooks (2023), pp. 151-172
Closed Access | Times Cited: 7
Role of Technology for Credit Risk Management: A Bibliometric Review
Vibhuti Jain, Rajesh Tiwari, Ruchi Mehrotra, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 7

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