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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:

HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline
Elham Khodabandehloo, Daniele Riboni, Abbas Alimohammadi
Future Generation Computer Systems (2020) Vol. 116, pp. 168-189
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Guang Yang, Qinghao Ye, Jun Xia
Information Fusion (2021) Vol. 77, pp. 29-52
Open Access | Times Cited: 513
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Thanveer Shaik, Xiaohui Tao, Niall Higgins, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 212
When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds
Kai Li, Yingping Cui, Weicai Li, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 5, pp. 4148-4173
Open Access | Times Cited: 137
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 120
A Survey of Explainable Artificial Intelligence for Smart Cities
Abdul Rehman Javed, Waqas Ahmed, Sharnil Pandya, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 1020-1020
Open Access | Times Cited: 111
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
Tim Hulsen
AI (2023) Vol. 4, Iss. 3, pp. 652-666
Open Access | Times Cited: 96
From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 94
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5261-5315
Open Access | Times Cited: 85
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1429-1442
Open Access | Times Cited: 81
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 46
Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review
Ching‐Hung Lee, Chang Wang, Xiaojing Fan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101874-101874
Closed Access | Times Cited: 42
Modern Smart Cities and Open Research Challenges and Issues of Explainable Artificial Intelligence
Siva Raja Sindiramutty, Chong Eng Tan, Wee Jing Tee, et al.
Advances in computational intelligence and robotics book series (2024), pp. 389-424
Closed Access | Times Cited: 17
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 181-193
Closed Access | Times Cited: 91
A Survey of Human Gait-Based Artificial Intelligence Applications
Elsa J. Harris, I‐Hung Khoo, Emel Demircan
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 67
Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT
Parminder Singh, Gurjot Singh Gaba, Avinash Kaur, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 722-731
Open Access | Times Cited: 48
Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
Abdul Rehman Javed, Ayesha Saadia, Huma Mughal, et al.
Cognitive Computation (2023) Vol. 15, Iss. 6, pp. 1767-1812
Open Access | Times Cited: 37
Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know
Line Farah, Juliette Murris, Isabelle Borget, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 2, pp. 120-138
Closed Access | Times Cited: 36
Parkinson’s Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm
Nebojša Bačanin, Aleksandar Petrović, Luka Jovanovic, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 12
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access | Times Cited: 1
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 53-117
Closed Access | Times Cited: 20
Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
F. Xavier Gaya-Morey, Cristina Manresa-Yee, José María Buades Rubio
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 8982-9007
Open Access | Times Cited: 7
Assessing LLMs in malicious code deobfuscation of real-world malware campaigns
Constantinos Patsakis, Fran Casino, Nikolaos Lykousas
Expert Systems with Applications (2024) Vol. 256, pp. 124912-124912
Open Access | Times Cited: 7
An Explainable Artificial Intelligence Software System for Predicting Diabetes
Parvathaneni Naga Srinivasu, Shakeel Ahmed, M. Hassaballah, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36112-e36112
Open Access | Times Cited: 7
Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review
Stephanie Tulk Jesso, Aisling Kelliher, Harsh Sanghavi, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 27
DeXAR
Luca Arrotta, Gabriele Civitarese, Cláudio Bettini
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 1, pp. 1-30
Closed Access | Times Cited: 22
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