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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:

Explainable Machine Learning in Credit Risk Management
Niklas Bussmann, Paolo Giudici, Dimitri Marinelli, et al.
Computational Economics (2020) Vol. 57, Iss. 1, pp. 203-216
Open Access | Times Cited: 280

Showing 51-75 of 280 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
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10675-10683
Open Access | Times Cited: 16
Explainable artificial intelligence and economic panel data: A study on volatility spillover along the supply chains
Theo Berger
Finance research letters (2023) Vol. 54, pp. 103757-103757
Closed Access | Times Cited: 15
An explainable financial risk early warning model based on the DS-XGBoost model
Tianjiao Zhang, Weidong Zhu, Yong Wu, et al.
Finance research letters (2023) Vol. 56, pp. 104045-104045
Closed Access | Times Cited: 15
A network based fintech inclusion platform
Daniel Felix Ahelegbey, Paolo Giudici, Valentino Pediroda
Socio-Economic Planning Sciences (2023) Vol. 87, pp. 101555-101555
Open Access | Times Cited: 14
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System
Yuncheng Wu, Naili Xing, Gang Chen, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 10, pp. 2471-2484
Closed Access | Times Cited: 14
A user-centered explainable artificial intelligence approach for financial fraud detection
Ying Zhou, Haoran Li, Zhi Xiao, et al.
Finance research letters (2023) Vol. 58, pp. 104309-104309
Closed Access | Times Cited: 14
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
Jomark Noriega, Luis Rivera, José Herrera
Data (2023) Vol. 8, Iss. 11, pp. 169-169
Open Access | Times Cited: 14
Optimizing credit limit adjustments under adversarial goals using reinforcement learning
Sherly Alfonso-Sánchez, Jesús Solano, Alejandro Correa-Bahnsen, et al.
European Journal of Operational Research (2024) Vol. 315, Iss. 2, pp. 802-817
Open Access | Times Cited: 5
Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults
Wenjin Tang, Hui Bu, Yuan Zuo, et al.
Finance research letters (2024) Vol. 62, pp. 105062-105062
Closed Access | Times Cited: 5
ChatGPT paraphrased product reviews can confuse consumers and undermine their trust in genuine reviews. Can you tell the difference?
Konstantinos F. Xylogiannopoulos, Petros Xanthopoulos, Panagiotis Karampelas, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103842-103842
Closed Access | Times Cited: 5
Machine Learning Classification Model Comparison
Paolo Giudici, Alex Gramegna, Emanuela Raffinetti
Socio-Economic Planning Sciences (2023) Vol. 87, pp. 101560-101560
Open Access | Times Cited: 13
Bankruptcy prediction using machine learning and Shapley additive explanations
Hoang Hiep Nguyen, Jean‐Laurent Viviani, Sami Ben Jabeur
Review of Quantitative Finance and Accounting (2023)
Closed Access | Times Cited: 12
Introducing NBEATSx to realized volatility forecasting
Hugo Gobato Souto, Amir Moradi
Expert Systems with Applications (2023) Vol. 242, pp. 122802-122802
Open Access | Times Cited: 12
Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
Tiago Martins, Ana de Almeida, Elsa Cardoso, et al.
IEEE Access (2023) Vol. 12, pp. 618-629
Open Access | Times Cited: 11
Combining Feature Selection and Classification Using LASSO-Based MCO Classifier for Credit Risk Evaluation
Xiufang Li, Zhiwang Zhang, Lingyun Li, et al.
Computational Economics (2024) Vol. 64, Iss. 5, pp. 2641-2662
Closed Access | Times Cited: 4
Liver Disease Classification - An XAI Approach to Biomedical AI
Ebenezer Agbozo, Daniel Musafiri Balungu
Informatica (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 4
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, et al.
Information Fusion (2024) Vol. 113, pp. 102598-102598
Open Access | Times Cited: 4
Measuring fairness in credit ratings
Ying Chen, Paolo Giudici, Kailiang Liu, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125184-125184
Open Access | Times Cited: 4
Artificial Intelligence in banking services. A bibliometric review
Sergio Gerardo Padilla Hernández
Región Científica (2024)
Open Access | Times Cited: 4
What Explains the Issuance and Arrangement Location of Corporate Green Bonds? An Analysis Using Explainable Artificial Intelligence (xAI) Technique
Hong Kong Institute for Monetary and Financial Research
SSRN Electronic Journal (2025)
Closed Access
Louvain community-based label assignment for reject inference in peer-to-peer lending
Anusha Hegde, Biswajit Bhowmik, Shashank J Bennehalli, et al.
International Journal of Data Science and Analytics (2025)
Closed Access
Explainable machine learning to predict the cost of capital
Niklas Bussmann, Paolo Giudici, Alessandra Tanda, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
"Artificial Intelligence in Accounting: Enhancing Fraud Detection and Risk Management"
DR. NIKHILKUMAR H.WAYKOLE
International Journal of Latest Technology in Engineering Management & Applied Science (2025) Vol. 14, Iss. 3, pp. 634-639
Closed Access
"Artificial Intelligence in Accounting: Enhancing Fraud Detection and Risk Management"
DR. NIKHILKUMAR H.WAYKOLE
International Journal of Latest Technology in Engineering Management & Applied Science (2025) Vol. 14, Iss. 3, pp. 688-693
Closed Access

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