Health Informatics Journal

Papers
(The H4-Index of Health Informatics Journal is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Blockchain for drug traceability: Architectures and open challenges85
Social media affordances and information abundance: Enabling fake news sharing during the COVID-19 health crisis56
Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data41
Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers41
Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis39
Rural use of health service and telemedicine during COVID-19: The role of access and eHealth literacy39
Automated caries detection with smartphone color photography using machine learning33
Prediction of cancer incidence rates for the European continent using machine learning models27
The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review26
Chatbot features for anxiety and depression: A scoping review26
Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression24
Application and implementation of telehealth services designed for the elderly population during the COVID-19 pandemic: A systematic review23
Validity and reliability testing of the Indonesian version of the eHealth Literacy Scale during the COVID-19 pandemic22
Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review22
Home telemonitoring for chronic disease management: Perceptions of users and factors influencing adoption21
Non-use of telemedicine: A scoping review21
Validation of a Korean version of mobile app rating scale (MARS) for apps targeting disease management19
A comparative study of machine learning techniques for suicide attempts predictive model18
The social life of COVID-19: Early insights from social media monitoring data collected in Poland18
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