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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:

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications
Dieudonné Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Computers in Industry (2023) Vol. 155, pp. 104044-104044
Open Access | Times Cited: 20

Showing 20 citing articles:

The increased role of advanced technology and automation in audit: A delphi study
Danielle R. Lombardi, Meehyun Kim, Janice C. Sipior, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100733-100733
Open Access | Times Cited: 1
Impact of artificial intelligence on aeronautics: An industry-wide review
Amina Zaoui, Dieudonné Tchuente, Samuel Fosso Wamba, et al.
Journal of Engineering and Technology Management (2024) Vol. 71, pp. 101800-101800
Open Access | Times Cited: 9
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Keng‐Boon Ooi, et al.
Computers in Industry (2024) Vol. 161, pp. 104128-104128
Closed Access | Times Cited: 5
The role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspective
Kwabena Abrokwah-Larbi
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open 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
The impact of artificial intelligence-driven ESG performance on sustainable development of central state-owned enterprises listed companies
Yuedong Xiao, Xiao Li
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes
Eduard Hogea, Darian M. Onchiş, Ruqiang Yan, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 892-902
Closed Access | Times Cited: 3
Cyber resilience framework for online retail using explainable deep learning approaches and blockchain-based consensus protocol
Karim Zkik, Amine Belhadi, Sachin Kamble, et al.
Decision Support Systems (2024) Vol. 182, pp. 114253-114253
Closed Access | Times Cited: 2
Energy Performance of Building Refurbishments: Predictive and Prescriptive AI-based Machine Learning Approaches
Christian Gnekpe, Dieudonné Tchuente, Serge Nyawa, et al.
Journal of Business Research (2024) Vol. 183, pp. 114821-114821
Closed Access | Times Cited: 2
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques
Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, et al.
Computers in Industry (2024) Vol. 164, pp. 104173-104173
Open Access | Times Cited: 2
Real Estate Automated Valuation Model with Explainable Artificial Intelligence Based on Shapley Values
Dieudonné Tchuente
The Journal of Real Estate Finance and Economics (2024)
Closed Access | Times Cited: 2
Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems
André Levi Zanon, Leonardo Rocha, Marcelo Garcia Manzato
Communications in computer and information science (2024), pp. 3-27
Closed Access | Times Cited: 1
Prototype-based learning for real estate valuation: a machine learning model that explains prices
José A. Rodríguez-Serrano
Annals of Operations Research (2024)
Open Access | Times Cited: 1
Prototype-based Models for Real Estate Valuation: A Machine Learning Model That Explains Prices
José A. Rodríguez-Serrano
SSRN Electronic Journal (2024)
Closed Access
Detecting Coagulation Time in Cheese Making by Means of Computer Vision and Machine Learning Techniques
Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, et al.
(2024)
Closed Access
O Impacto de Estratégias de Embeddings de Grafos na Explicabilidade de Sistemas de Recomendação
André Levi Zanon, Leonardo Rocha, Marcelo Garcia Manzato
(2024), pp. 231-239
Open Access
An Exploration on Explainable AI with Background and Motivation for XAI
B. P. Sheela, H Girisha
Algorithms for intelligent systems (2024), pp. 481-489
Closed Access
A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations
Marcelo Índio dos Reis, João N.C. Gonçalves, Paulo Cortez, et al.
Computers in Industry (2024) Vol. 165, pp. 104233-104233
Closed Access
Regulation of Artificial Intelligence: Challenges and Perspectives in the Andean Community
Lucía Puertas-Bravo, Luis Oswaldo Ordóñez Pineda, Nelson Piedra
(2024), pp. 221-244
Closed Access
On Energy-aware and Verifiable Benchmarking of Big Data Processing targeting AI Pipelines
Georgios Theodorou, Σοφία Καραγιώργου, Christos Kotronis
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3788-3798
Closed Access
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