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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:

Credit Risk Analysis Using Machine and Deep Learning Models
Peter Martey Addo, Dominique Guégan, Bertrand K. Hassani
Risks (2018) Vol. 6, Iss. 2, pp. 38-38
Open Access | Times Cited: 222

Showing 1-25 of 222 citing articles:

Machine Learning in Banking Risk Management: A Literature Review
Martin Leo, Suneel Sharma, K. Maddulety
Risks (2019) Vol. 7, Iss. 1, pp. 29-29
Open Access | Times Cited: 331
Statistical and machine learning models in credit scoring: A systematic literature survey
Xolani Dastile, Turgay Çelik, Moshe Moses Potsane
Applied Soft Computing (2020) Vol. 91, pp. 106263-106263
Closed Access | Times Cited: 274
Deep learning for credit scoring: Do or don’t?
Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, et al.
European Journal of Operational Research (2021) Vol. 295, Iss. 1, pp. 292-305
Open Access | Times Cited: 162
Corporate finance risk prediction based on LightGBM
Di-ni Wang, Lang Li, Zhao Da
Information Sciences (2022) Vol. 602, pp. 259-268
Closed Access | Times Cited: 122
A Systematic Study on Reinforcement Learning Based Applications
Keerthana Sivamayilvelan, R Elakkiya, Belqasem Aljafari, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1512-1512
Open Access | Times Cited: 64
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis
Ajithakumari Vijayappan Nair Biju, Ann Susan Thomas, J Thasneem
Quality & Quantity (2023) Vol. 58, Iss. 1, pp. 849-878
Open Access | Times Cited: 41
An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria
Wei Zheng, Lidan Lin, Xiaoxue Wu, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 3, pp. 391-412
Closed Access | Times Cited: 20
Bayesian regularized artificial neural networks for the estimation of the probability of default
Eduard Sariev, Guido Germano
Quantitative Finance (2019) Vol. 20, Iss. 2, pp. 311-328
Open Access | Times Cited: 111
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amirhosein Mosavi, Yaser Faghan, Pedram Ghamisi, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1640-1640
Open Access | Times Cited: 106
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: 92
A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
The North American Journal of Economics and Finance (2020) Vol. 54, pp. 101251-101251
Open Access | Times Cited: 92
Data Science Methodologies: Current Challenges and Future Approaches
Iñigo Martı́nez, Elisabeth Viles, Igor G. Olaizola
Big Data Research (2021) Vol. 24, pp. 100183-100183
Open Access | Times Cited: 83
Loan default prediction using decision trees and random forest: A comparative study
Mehul Madaan, Aniket Kumar, Chirag Keshri, et al.
IOP Conference Series Materials Science and Engineering (2021) Vol. 1022, Iss. 1, pp. 012042-012042
Open Access | Times Cited: 73
Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management
Nenad Milojević, Srdjan Redžepagić
Journal of Central Banking Theory and Practice (2021) Vol. 10, Iss. 3, pp. 41-57
Open Access | Times Cited: 56
Deep learning in business analytics: A clash of expectations and reality
Marc Schmitt
International Journal of Information Management Data Insights (2022) Vol. 3, Iss. 1, pp. 100146-100146
Open Access | Times Cited: 45
Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme
Yu Pu Song, Yuyan Wang, Xin Ye, et al.
Information Sciences (2023) Vol. 629, pp. 599-617
Closed Access | Times Cited: 28
Moving Deep Learning to the Edge
Mário Véstias, Rui Policarpo Duarte, José T. de Sousa, et al.
Algorithms (2020) Vol. 13, Iss. 5, pp. 125-125
Open Access | Times Cited: 64
Big data analytics for default prediction using graph theory
Mustafa Yıldırım, Feyza Yıldırım Okay, Suat Özdemi̇r
Expert Systems with Applications (2021) Vol. 176, pp. 114840-114840
Closed Access | Times Cited: 53
Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers
Jong Wook Lee, Won Kyung Lee, So Young Sohn
Expert Systems with Applications (2020) Vol. 168, pp. 114411-114411
Closed Access | Times Cited: 50
Financial Distress Prediction for Small and Medium Enterprises Using Machine Learning Techniques
Aidas Malakauskas, Aušrinė Lakštutienė
Engineering Economics (2021) Vol. 32, Iss. 1, pp. 4-14
Open Access | Times Cited: 47
Modelling customers credit card behaviour using bidirectional LSTM neural networks
Maher Alaraj, Maysam Abbod, Munir Majdalawieh
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 46
A Machine Learning Approach for Micro-Credit Scoring
Apostolos Ampountolas, Titus Nyarko Nde, Paresh Date, et al.
Risks (2021) Vol. 9, Iss. 3, pp. 50-50
Open Access | Times Cited: 41
What should lenders be more concerned about? Developing a profit-driven loan default prediction model
Lifang Zhang, Jianzhou Wang, Zhenkun Liu
Expert Systems with Applications (2022) Vol. 213, pp. 118938-118938
Closed Access | Times Cited: 29
A deep learning model for behavioural credit scoring in banks
Maher Alaraj, Maysam Abbod, Munir Majdalawieh, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 8, pp. 5839-5866
Closed Access | Times Cited: 26
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