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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:

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib, et al.
Information Fusion (2021) Vol. 79, pp. 263-278
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A. S. Albahri, Ali M. Duhaim, Mohammed A. Fadhel, et al.
Information Fusion (2023) Vol. 96, pp. 156-191
Closed Access | Times Cited: 352
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh, et al.
Information Fusion (2023) Vol. 99, pp. 101896-101896
Open Access | Times Cited: 279
AI for life: Trends in artificial intelligence for biotechnology
Andreas Holzinger, Katharina Keiblinger, Petr Holub, et al.
New Biotechnology (2023) Vol. 74, pp. 16-24
Open Access | Times Cited: 261
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Khansa Rasheed, Adnan Qayyum, Mohammed Ghaly, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106043-106043
Open Access | Times Cited: 181
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 2, pp. 446-473
Open Access | Times Cited: 147
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 141
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash, et al.
Information Sciences (2022) Vol. 615, pp. 238-292
Closed Access | Times Cited: 113
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3043-3043
Open Access | Times Cited: 109
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Nan Yang, Javier Del Ser, Simon Walsh, et al.
Information Fusion (2022) Vol. 82, pp. 99-122
Open Access | Times Cited: 103
Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
Shahab S. Band, Atefeh Yarahmadi, Chung-Chian Hsu, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101286-101286
Open Access | Times Cited: 100
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Artificial Intelligence in Medicine (2022) Vol. 133, pp. 102423-102423
Open Access | Times Cited: 95
Deep learning for brain age estimation: A systematic review
M. Tanveer, M. A. Ganaie, Iman Beheshti, et al.
Information Fusion (2023) Vol. 96, pp. 130-143
Open Access | Times Cited: 80
The psychological mechanism of internet information processing for post-treatment evaluation
Quan‐Hoang Vuong, Tam-Tri Le, Viet‐Phuong La, et al.
Heliyon (2022) Vol. 8, Iss. 5, pp. e09351-e09351
Open Access | Times Cited: 76
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 75
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence
Niyaz Ahmad Wani, Ravinder Kumar, Jatin Bedi
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107879-107879
Closed Access | Times Cited: 74
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making
Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, et al.
Artificial Intelligence (2022) Vol. 316, pp. 103839-103839
Open Access | Times Cited: 70
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li, et al.
Information Fusion (2023) Vol. 102, pp. 102040-102040
Open Access | Times Cited: 54
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 46
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 38
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 31
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 30
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
M. A. Alsalem, A.H. Alamoodi, O. S. Albahri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123066-123066
Open Access | Times Cited: 24
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 24
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 35796-35812
Open Access | Times Cited: 23
Trustworthy multi-phase liver tumor segmentation via evidence-based uncertainty
Chuanfei Hu, Tianyi Xia, Ying Cui, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108289-108289
Open Access | Times Cited: 23
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