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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 26-50 of 222 citing articles:

Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals
Andreas Bueff, Mateusz Cytryński, Raffaella Calabrese, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117271-117271
Open Access | Times Cited: 24
An Explainable ADASYN‐Based Focal Loss Approach for Credit Assessment
Shaukat Ali Shahee, Rujavi Patel
Journal of Forecasting (2025)
Closed Access
A multi-level sparse attentive fusion network integrating hard and soft information for firm-level loan default prediction
Jingling Ma, Junqiao Gong, Gang Wang, et al.
Electronic Commerce Research and Applications (2025), pp. 101479-101479
Closed Access
Performance in Credit Risk Analysis Using Statistical and Classification Models
Yashika Jaiswal, Soumya Ranjan Sahu, Ziaurrahman, et al.
Lecture notes in electrical engineering (2025), pp. 489-509
Closed Access
Predicting ESG Controversies in Banks Using Machine Learning Techniques
Anna Rita Dipierro, Fernando Jimenéz Barrionuevo, Pierluigi Toma
Corporate Social Responsibility and Environmental Management (2025)
Open Access
Business Distress Prediction in Albania: An Analysis of Classification Methods
Zhaklina Dhamo, Ardit Gjeçi, Arben Zibri, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 3, pp. 118-118
Open Access
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance
Md Talha Mohsin, Nabid Bin Nasim
(2025)
Closed Access
3DACN: 3D Augmented convolutional network for time series data
Songwen Pei, Tianma Shen, Xianrong Wang, et al.
Information Sciences (2019) Vol. 513, pp. 17-29
Closed Access | Times Cited: 38
Bankruptcy Prediction Using Stacked Auto-Encoders
Makram Soui, Salima Smiti, Mohamed Wiem Mkaouer, et al.
Applied Artificial Intelligence (2019) Vol. 34, Iss. 1, pp. 80-100
Closed Access | Times Cited: 36
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
The Past, Present, and Prospective Future of XAI: A Comprehensive Review
Muhammad Usama Islam, Md Mozaharul Mottalib, Mehedi Hassan, et al.
Studies in computational intelligence (2022), pp. 1-29
Closed Access | Times Cited: 19
Generative AI in Operational Risk Management: Harnessing the Future of Finance
Yanqing Wang
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 11
Analyzing the Impact of Machine Learning Algorithms on Risk Management and Fraud Detection in Financial Institution
Deepak Kumar, Shoumya Singh
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 5, pp. 1797-1804
Open Access | Times Cited: 4
Deep Learning-Powered Business Analytics: Enhancing Classification and Regression Models
T. Cao, Huy Quoc Le, Anh Ngoc
Springer proceedings in business and economics (2025), pp. 195-212
Closed Access
An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms
R. Sujatha, D. Kavitha, B. Uma Maheswari, et al.
Communications in computer and information science (2025), pp. 315-334
Closed Access
A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
Sarat Chandra Nayak, Bijan Bihari Misra
Financial Innovation (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 34
Societal bias reinforcement through machine learning: a credit scoring perspective
Bertrand K. Hassani
AI and Ethics (2020) Vol. 1, Iss. 3, pp. 239-247
Open Access | Times Cited: 31
A hierarchical attention-based feature selection and fusion method for credit risk assessment
Ximing Liu, Yayong Li, Cheng Dai, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 537-546
Closed Access | Times Cited: 3
Mapping the fintech revolution: how technology is transforming credit risk management
Haitham Nobanee, Nejla Ould Daoud Ellili, Dipanwita Chakraborty, et al.
Global Knowledge Memory and Communication (2024)
Closed Access | Times Cited: 3
Two-stage meta-ensembling machine learning model for enhanced water quality forecasting
Sepideh Heydari, Mohammad Reza Nikoo, Ali Mohammadi, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131767-131767
Closed Access | Times Cited: 3
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
Machine learning vs deep learning in stock market investment: an international evidence
Jing Hao, Feng He, Feng Ma, et al.
Annals of Operations Research (2023)
Closed Access | Times Cited: 8
Prediction of corporate credit ratings with machine learning: Simple interpretative models
Koresh Galil, Ami Hauptman, Rosit Levy Rosenboim
Finance research letters (2023) Vol. 58, pp. 104648-104648
Open Access | Times Cited: 8
Deep learning for survival and competing risk modelling
Gabriel Blumenstock, Stefan Lessmann, Hsin‐Vonn Seow
Journal of the Operational Research Society (2020) Vol. 73, Iss. 1, pp. 26-38
Closed Access | Times Cited: 23
LimeOut: An Ensemble Approach to Improve Process Fairness
Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli
Communications in computer and information science (2020), pp. 475-491
Open Access | Times Cited: 21

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