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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:

Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Patrick Weber, K. Valerie Carl, Oliver Hinz
Management Review Quarterly (2023) Vol. 74, Iss. 2, pp. 867-907
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Explainable Artificial Intelligence (XAI)
Mitra Tithi Dey
Advances in environmental engineering and green technologies book series (2024), pp. 333-362
Closed Access | Times Cited: 140
The dark side of artificial intelligence in services
Daniel Belanche, Russell W. Belk, Luis V. Casaló, et al.
Service Industries Journal (2024) Vol. 44, Iss. 3-4, pp. 149-172
Open Access | Times Cited: 30
DeepSeek and FinTech: The Democratization of AI and Its Global Implications
David Krause
(2025)
Closed Access | Times Cited: 1
Artificial intelligence applications in finance: a survey
Xuemei Li, Alexander Sigov, Leonid Ratkin, et al.
Journal of Management Analytics (2023) Vol. 10, Iss. 4, pp. 676-692
Closed Access | Times Cited: 25
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction
Fatma M. Talaat, Abdussalam Aljadani, Mahmoud Badawy, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 9, pp. 4847-4865
Closed Access | Times Cited: 23
Promoting sustainability in finance with AI: A review of current practices and future potential
Adedoyin Tolulope Oyewole, Omotayo Bukola Adeoye, Wilhelmina Afua Addy, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 3, pp. 590-607
Open Access | Times Cited: 13
Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends
Alina Georgiana Manta, Roxana Maria Bâdîrcea, Nicoleta Mihaela Florea, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1693-1693
Open Access | Times Cited: 11
Test Input Prioritization for Machine Learning Classifiers
Xueqi Dang, Yinghua Li, Mike Papadakis, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 3, pp. 413-442
Open Access | Times Cited: 7
Envisioning toward modernization of society 5.0—A prospective glimpse on status, opportunities, and challenges with XAI
Henry Jonathan, Shad Ahmad Khan, Anand Nayyar
Elsevier eBooks (2024), pp. 223-267
Closed Access | Times Cited: 7
Exploring Local Explanation of Practical Industrial AI Applications: A Systematic Literature Review
Thi-Thu-Huong Le, Aji Teguh Prihatno, Yustus Eko Oktian, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5809-5809
Open Access | Times Cited: 20
Explainable AI: The Quest for Transparency in Business and Beyond
Hanna DeSimone, Maikel Leon-Espinosa
(2024) Vol. 1, pp. 532-538
Closed Access | Times Cited: 5
Artificial Intelligence In Financial Risk Assessment And Fraud Detection: Opportunities And Ethical Concerns
Dimple Patil
(2025)
Closed Access
Adulteration Detection of Cow Milk in Buffalo Milk Using Fourier-Transform Infrared Spectroscopy and Artificial Intelligence-Based Techniques
Sinem Çolak, İrem Uzunsoy, Ali Narin, et al.
Journal of Food Composition and Analysis (2025), pp. 107203-107203
Closed Access
A New Creative Destruction in the Age of Artificial Intelligence
Sertaç Caran, Çağatay Başarır
Advances in finance, accounting, and economics book series (2025), pp. 65-86
Closed Access
Fundamentals on explainable and interpretable artificial intelligence models
Pietro Ducange, Francesco Marcelloni, Alessandro Renda, et al.
Elsevier eBooks (2025), pp. 279-296
Closed Access
Application of Explainable Artificial Intelligence in Fintech
Raunak Kumar, Priya Gupta, Bhawna
(2025), pp. 383-405
Closed Access
Explaining multimodal CNN-DNN model predictions for quality monitoring of porosity in laser metal deposition
Vidita Gawade, Mengfei Chen
Knowledge-Based Systems (2025), pp. 113095-113095
Closed Access
Enhancing Invoice Processing Automation Through the Integration of DevOps Methodologies and Machine Learning
Oana-Alexandra Dragomirescu, Pavel-Cristian Crăciun, Ana-Ramona Bologa
Systems (2025) Vol. 13, Iss. 2, pp. 87-87
Open Access
Towards Trustworthy Aircraft Safety: Explainable AI for Accurate Incident and Accident Predictions
M Rashid Mohammad Amin, Umara Noor, M. J. Jabeen Fatima, et al.
Lecture notes in computer science (2025), pp. 197-211
Closed Access
Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access
ShapG: New feature importance method based on the Shapley value
Chi Zhao, Jing Liu, Elena Parilina
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110409-110409
Closed Access
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
Qi Lyu, Shaomin Wu
Expert Systems (2025) Vol. 42, Iss. 4
Open Access
Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques
Yu-Cheng Lin, Roni Padliansyah, Yu‐Hsin Lu, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100744-100744
Closed Access
Generative artificial intelligence in creative contexts: a systematic review and future research agenda
Rebecca Heigl
Management Review Quarterly (2025)
Open Access
Integrating permutation feature importance with conformal prediction for robust Explainable Artificial Intelligence in predictive process monitoring
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110363-110363
Open Access
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