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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:

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

Showing 1-25 of 43 citing articles:

From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
Imran Ahmed, Gwanggil Jeon, Francesco Piccialli
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 8, pp. 5031-5042
Closed Access | Times Cited: 464
SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk
Alex Gramegna, Paolo Giudici
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 177
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök, Feyza Yıldırım Okay, Özgecan Muyanlı, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14764-14779
Open Access | Times Cited: 61
Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 25
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 24
Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
Mohammad Mansourmoghaddam, Imán Rousta, Hamid Reza Ghafarian Malamiri, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 454-454
Open Access | Times Cited: 16
A comprehensive review on financial explainable AI
Wei Jie Yeo, Wihan van der Heever, Rui Mao, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access | Times Cited: 2
The effects of domain knowledge on trust in explainable AI and task performance: A case of peer-to-peer lending
Murat Dikmen, Catherine M. Burns
International Journal of Human-Computer Studies (2022) Vol. 162, pp. 102792-102792
Open Access | Times Cited: 55
Deep learning in insurance: Accuracy and model interpretability using TabNet
Kevin McDonnell, Finbarr Murphy, Barry Sheehan, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119543-119543
Open Access | Times Cited: 38
Explainable Artificial Intelligence (XAI) in Insurance
Emer Owens, Barry Sheehan, Martin Mullins, et al.
Risks (2022) Vol. 10, Iss. 12, pp. 230-230
Open Access | Times Cited: 35
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
Business Models and Sustainability Plans in the FinTech, InsurTech, and PropTech Industry: Evidence from Spain
Javier Sada Bittini, Salvador Cruz Rambaud, Joaquín López Pascual, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12088-12088
Open Access | Times Cited: 28
A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions
Khushi Jatinkumar Raval, Nilesh Kumar Jadav, Tejal Rathod, et al.
International Journal of Critical Infrastructure Protection (2023) Vol. 44, pp. 100647-100647
Closed Access | Times Cited: 14
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
A Methodological Framework for Business Decisions with Explainable AI and the Analytic Hierarchical Process
Gabriel Marín Díaz, Raquel Gómez Medina, José Alberto Aijón Jiménez
Processes (2025) Vol. 13, Iss. 1, pp. 102-102
Open Access
Deep Learning Applications in the Resilience Critical Infrastructure Systems—A Systematic Review
H L Gururaj
Research Square (Research Square) (2025)
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
AI revolution in insurance: bridging research and reality
Subhrajit Bhattacharya, German Castignani, Leandro Masello, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Legaltech and Lawtech: Global Perspectives, Challenges, and Opportunities
Esther Salmerón-Manzano
Laws (2021) Vol. 10, Iss. 2, pp. 24-24
Open Access | Times Cited: 27
Shapley Feature Selection
Alex Gramegna, Paolo Giudici
FinTech (2022) Vol. 1, Iss. 1, pp. 72-80
Open Access | Times Cited: 19
Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
Farhina Sardar Khan, Syed Shahid Mazhar, Kashif Mazhar, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 8
Open Access
Identification of the Factors That Influence University Learning with Low-Code/No-Code Artificial Intelligence Techniques
William Villegas-Ch, Joselin García-Ortiz, Santiago Sánchez-Viteri
Electronics (2021) Vol. 10, Iss. 10, pp. 1192-1192
Open Access | Times Cited: 23
Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology
Aidan Cooper, Orla Doyle, Alison Bourke
Communications in computer and information science (2021), pp. 408-422
Closed Access | Times Cited: 16
A valorization framework to strategically manage data for creating competitive value
Claudio Bonvino, Marco Giorgino
International Journal of Production Economics (2024) Vol. 269, pp. 109152-109152
Open Access | Times Cited: 2
Explainable prediction of node labels in multilayer networks: a case study of turnover prediction in organizations
László Gadár, János Abonyi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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