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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 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

Showing 26-50 of 100 citing articles:

Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models
Mohammad Ennab, Hamid Mcheick
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 12-12
Open Access
Interpretative analyses for milling surface roughness prediction in thermally modified timber: Shapley value (SHAP) and local interpretable model-agnostic explanations (LIME)
Huang Wen-ying, Qunhua Jin, Xiaolei Guo, et al.
Wood Material Science and Engineering (2025), pp. 1-9
Closed Access
ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation
Vahid Khalkhali, Sayed Mehedi Azim, Iman Dehzangi
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 19-19
Open Access
Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection
Opeyemi Adeniran, Blessing Ojeme, Temitope Ezekiel Ajibola, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 163-163
Open Access
Transparent Insights into AI: Analyzing CNN Architecture through LIME-Based Interpretability for Land Cover Classification
Pushpalata Pujari, Himanshu Sahu
Research Square (Research Square) (2025)
Closed Access
Artificial intelligence in COVID-19 research: A comprehensive survey of innovations, challenges, and future directions
Richard Annan, Letu Qingge
Computer Science Review (2025) Vol. 57, pp. 100751-100751
Closed Access
Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services
Арун Кумар, Mehedi Masud, Mohammed H. Alsharif, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy
Dilber Uzun Ozsahin, Natacha Usanase, İlker Özşahin
Beni-Suef University Journal of Basic and Applied Sciences (2025) Vol. 14, Iss. 1
Open Access
Systematic literature review on the application of explainable artificial intelligence in palliative care studies
Battushig Migiddorj, Marijka Batterham, Khin Than Win
International Journal of Medical Informatics (2025), pp. 105914-105914
Closed Access
AI-Driven Prediction of Glasgow Coma Scale Outcomes in Anterior Communicating Artery Aneurysms
Corneliu Toader, Octavian Munteanu, Mugurel Petrinel Radoi, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2672-2672
Open Access
Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally
Md. Siddikur Rahman, Abu Bokkor Shiddik
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fusion of quantum computing and explainable AI: A comprehensive survey on transformative healthcare solutions
Shashank Sheshar Singh, Sumit Kumar, Rohit Ahuja, et al.
Information Fusion (2025), pp. 103217-103217
Closed Access
Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
Akshai Parakkal Sreenivasan, Aina Vaivade, Yassine Noui, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis
Mahdi Hadilou, Nazanin Mahdavi, Elham Keykha, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Integrating artificial intelligence and machine learning in nursing practice: opportunities, methods and challenges
Lu‐Yen Anny Chen
Evidence-Based Nursing (2025), pp. ebnurs-104334
Closed Access
Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions
Muhammad Liaquat Raza, Syed Belal Hassan, Subia Jamil, et al.
Frontiers in Neuroinformatics (2025) Vol. 19
Open Access
Augmenting heart disease prediction with explainable AI: A study of classification models
Raja Rani Titti, Shalini Pukkella, T. S. L. Radhika
Computational and Mathematical Biophysics (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
Noor A. Aziz, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 3
Explainable artificial intelligence models for predicting pregnancy termination among reproductive-aged women in six east African countries: machine learning approach
Gizachew Mulu Setegn, Belayneh Endalamaw Dejene
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Preparing for the Widespread Adoption of Clinic Visit Recording
Paul Barr, Robert Gramling, Soroush Vosoughi
NEJM AI (2024) Vol. 1, Iss. 11
Closed Access | Times Cited: 3
Artificial Intelligence Applications in Smart Healthcare: A Survey
Xian Gao, Peixiong He, Yi Zhou, et al.
Future Internet (2024) Vol. 16, Iss. 9, pp. 308-308
Open Access | Times Cited: 3
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI
Vishnu S. Pendyala, HyungKyun Kim
(2024)
Open Access | Times Cited: 2
Explainable Artificial Intelligence (XAI) for Emotion Detection
Madan Mohan Tito Ayyalasomayajula, Sailaja Ayyalasomayajula, Jay Kumar Pandey
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2024), pp. 203-232
Closed Access | Times Cited: 2

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