Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
Maria Frasca, Davide La Torre, Gabriella Pravettoni, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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
Explainability, transparency and black box challenges of AI in radiology: impact on patient care in cardiovascular radiology
Ahmed Marey, Parisa Arjmand, Ameerh Dana Sabe Alerab, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 16
Determining a Meaningful R-squared Value in Clinical Medicine
Avi Gupta, Thor S Stead, Latha Ganti
Deleted Journal (2024)
Open Access | Times Cited: 10
Congress Must Update FDA Regulations for Medical AI
Scott Gottlieb
JAMA Health Forum (2024) Vol. 5, Iss. 7, pp. e242691-e242691
Open Access | Times Cited: 7
Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas
Maria Frasca, Davide La Torre, Marco Repetto, et al.
Discover Analytics (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Gaps in the Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector and Key Recommendations
Kavitha Palaniappan, Elaine Yan Ting Lin, Silke Vogel, et al.
Healthcare (2024) Vol. 12, Iss. 17, pp. 1730-1730
Open Access | Times Cited: 5
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models
Baradwaj Simha Sankar, D. Gary Gilliland, Jack Rincon, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 984-984
Open Access | Times Cited: 5
Commentary: Technological innovations for improved prevention and diagnosis of oral disease
Wajiha Qamar
Frontiers in Oral Health (2025) Vol. 5
Open Access
Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification
Alessio Cascione, Mattia Setzu, Federico A. Galatolo, et al.
Lecture notes in computer science (2025), pp. 316-331
Closed Access
Feature-based knowledge distillation for explainable detection of pulmonary diseases
Ruben Piperno, Luca Bacco, Lorenzo Petrosino, et al.
Health and Technology (2025)
Closed Access
Artificial intelligence in stroke risk assessment and management via retinal imaging
Parsa Khalafi, Soroush Morsali, Sana Hamidi, et al.
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
Massimo Salvi, Silvia Seoni, Andrea Campagner, et al.
International Journal of Medical Informatics (2025) Vol. 197, pp. 105846-105846
Open Access
Large language models and psychiatry
Graziella Orrù, Giulia Melis, Giuseppe Sartori
International Journal of Law and Psychiatry (2025) Vol. 101, pp. 102086-102086
Closed Access
A Review on Revolutionizing Healthcare Technologies with AI and ML Applications in Pharmaceutical Sciences
Priyanka Kandhare, Mrunal Kurlekar, Tanvi Deshpande, et al.
Drugs and Drug Candidates (2025) Vol. 4, Iss. 1, pp. 9-9
Open Access
Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration
Francisco Herrera
Information Fusion (2025), pp. 103133-103133
Closed Access
A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning
Мадина Сулейменова, Kuat Аbzaliyev, Мадина Мансурова, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 850-850
Open Access
Applications of Artificial Intelligence in Life Sciences
Yin Kiong Hoh
The American Biology Teacher (2025) Vol. 87, Iss. 3, pp. 165-172
Open Access
Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review
Cong Zhou, Shuai Liu, Hao Hu, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Perspectives and Experiences With Large Language Models in Health Care: Survey Study
Jennifer Sumner, Yuchen Wang, Si Ying Tan, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e67383-e67383
Open Access
Improving CNN interpretability and evaluation via alternating training and regularization in chest CT scans
Rodrigo Ramos-Díaz, Jesús García-Ramírez, Jimena Olveres, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100211-100211
Open Access
Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, et al.
Machine Learning with Applications (2025), pp. 100655-100655
Open Access
Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction
Lei Guo, Jifu Tan, M. Courtney Hughes
Frontiers in Public Health (2025) Vol. 13
Open Access
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
Machine Learning Meets Meta-heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis
Harikumar Rajaguru, Dinesh Chellappan
(2024)
Open Access | Times Cited: 1
Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis
Dinesh Chellappan, Harikumar Rajaguru
Bioengineering (2024) Vol. 11, Iss. 8, pp. 766-766
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top