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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 26-50 of 280 citing articles:

A qualitatively analyzable two-stage ensemble model based on machine learning for credit risk early warning: Evidence from Chinese manufacturing companies
Lu Wang, Wenyao Zhang
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103267-103267
Closed Access | Times Cited: 39
Three Challenges for AI-Assisted Decision-Making
Mark Steyvers, Aakriti Kumar
Perspectives on Psychological Science (2023) Vol. 19, Iss. 5, pp. 722-734
Open Access | Times Cited: 34
Balanced K-Star: An Explainable Machine Learning Method for Internet-of-Things-Enabled Predictive Maintenance in Manufacturing
Bita Ghasemkhani, Özlem Aktaş, Derya Birant
Machines (2023) Vol. 11, Iss. 3, pp. 322-322
Open Access | Times Cited: 30
A Survey on Explainable Artificial Intelligence for Cybersecurity
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 5115-5140
Open Access | Times Cited: 30
FinTech and Artificial Intelligence in Relationship Banking and Computer Technology
Vipin Jain, Mohit Rastogi, Janjhyam Venkata Naga Ramesh, et al.
Advances in electronic government, digital divide, and regional development book series (2023), pp. 169-187
Closed Access | Times Cited: 23
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, et al.
(2024), pp. 1-27
Open Access | Times Cited: 14
Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development
Saeed Chehreh Chelgani, Hamid Nasiri, A. Tohry
Advanced Powder Technology (2021) Vol. 32, Iss. 11, pp. 4141-4148
Open Access | Times Cited: 44
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence
Jurgita Černevičienė, Audrius Kabašinskas
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 37
Explainable AI for Credit Assessment in Banks
Petter Eilif de Lange, Borger Melsom, Christian Bakke Vennerød, et al.
Journal of risk and financial management (2022) Vol. 15, Iss. 12, pp. 556-556
Open Access | Times Cited: 36
Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam
Kim Long Tran, Hoang Anh Le, Thanh Nguyen, et al.
Data (2022) Vol. 7, Iss. 11, pp. 160-160
Open Access | Times Cited: 31
Explainable FinTech lending
Golnoosh Babaei, Paolo Giudici, Emanuela Raffinetti
Journal of Economics and Business (2023) Vol. 125-126, pp. 106126-106126
Open Access | Times Cited: 22
Bayesian learning models to measure the relative impact of ESG factors on credit ratings
Arianna Agosto, Paola Cerchiello, Paolo Giudici
International Journal of Data Science and Analytics (2023)
Open Access | Times Cited: 22
AI Applications for Financial Risk Management
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Yogesh Kumar Pathak
Advances in finance, accounting, and economics book series (2023), pp. 17-31
Closed Access | Times Cited: 21
Interpretable selective learning in credit risk
Dangxing Chen, Jiahui Ye, Weicheng Ye
Research in International Business and Finance (2023) Vol. 65, pp. 101940-101940
Open Access | Times Cited: 17
Credit Risk Prediction Using Explainable AI
Sarder Abdulla Al Shiam, Md Mahdi Hasan, Md Jubair Pantho, et al.
Journal of Business and Management Studies (2024) Vol. 6, Iss. 2, pp. 61-66
Open Access | Times Cited: 8
Investigating the beneficial impact of segmentation-based modelling for credit scoring
Khaoula Idbenjra, Kristof Coussement, Arno De Caigny
Decision Support Systems (2024) Vol. 179, pp. 114170-114170
Closed Access | Times Cited: 7
Predicting systemic financial risk with interpretable machine learning
Pan Tang, Tiantian Tang, Chennuo Lu
The North American Journal of Economics and Finance (2024) Vol. 71, pp. 102088-102088
Closed Access | Times Cited: 7
Extending application of explainable artificial intelligence for managers in financial organizations
Renu Sabharwal, Shah Jahan Miah, Samuel Fosso Wamba, et al.
Annals of Operations Research (2024)
Open Access | Times Cited: 7
Digital financial consumers' decision-making: a systematic literature review and integrative framework
Marco Barone, Candida Bussoli, Lucrezia Fattobene
International Journal of Bank Marketing (2024) Vol. 42, Iss. 7, pp. 1978-2022
Closed Access | Times Cited: 7
Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study
Victor Chang, Qianwen Xu, Shola Habib Akinloye, et al.
Annals of Operations Research (2024)
Open Access | Times Cited: 7
Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions
Zahra Shams Khoozani, Aznul Qalid Md Sabri, Woo Chaw Seng, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 67147-67197
Open Access | Times Cited: 6
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
Aditya Bhattacharya
(2024), pp. 1-6
Open Access | Times Cited: 6
Why to Buy Insurance? An Explainable Artificial Intelligence Approach
Alex Gramegna, Paolo Giudici
Risks (2020) Vol. 8, Iss. 4, pp. 137-137
Open Access | Times Cited: 43
Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling
Aaron E. Maxwell, Maneesh Sharma, Kurt Donaldson
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4991-4991
Open Access | Times Cited: 40
Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
Rasoul Fatahi, Hamid Nasiri, Arman Homafar, et al.
Particulate Science And Technology (2022) Vol. 41, Iss. 5, pp. 715-724
Open Access | Times Cited: 27

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