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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:

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 419

Showing 1-25 of 419 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: 346
A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 193
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 76
Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
Wenli Yang, Yu-Chen Wei, H. Wei, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 161-188
Open Access | Times Cited: 60
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
Smith K. Khare, U. Rajendra Acharya
Computers in Biology and Medicine (2023) Vol. 155, pp. 106676-106676
Open Access | Times Cited: 55
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 53
A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting
Junaid Khan, Eunkyu Lee, Awatef Salem Balobaid, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2743-2743
Open Access | Times Cited: 52
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 52
Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 824-824
Open Access | Times Cited: 51
Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence
Simone Grassini
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 51
Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals
Smith K. Khare, U. Rajendra Acharya
Knowledge-Based Systems (2023) Vol. 278, pp. 110858-110858
Open Access | Times Cited: 51
An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
Faruk Öztekin, Oğuzhan KATAR, Ferhat Sadak, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 226-226
Open Access | Times Cited: 49
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives
Marco Cascella, Daniela Schiavo, Arturo Cuomo, et al.
Pain Research and Management (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 46
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
A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 41
Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector
Kavitha Palaniappan, Elaine Yan Ting Lin, Silke Vogel
Healthcare (2024) Vol. 12, Iss. 5, pp. 562-562
Open Access | Times Cited: 39
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
IEEE Access (2024) Vol. 12, pp. 31014-31035
Open Access | Times Cited: 32
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: 27
On the failings of Shapley values for explainability
Xuanxiang Huang, João Marques‐Silva
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109112-109112
Closed Access | Times Cited: 25
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 18
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Laith Alzubaidi, Asma Salhi, Mohammed A. Fadhel, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299545-e0299545
Open Access | Times Cited: 17
A scoping review of fair machine learning techniques when using real-world data
Yu Huang, Jingchuan Guo, Wei‐Han Chen, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104622-104622
Open Access | Times Cited: 15
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