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This paper is in the following e-collection/theme issue:

Mobile Approaches to Medical Education (79) Digital Health Reviews (1843) Scientometrics, Infometrics, and Altmetrics (128) mHealth in Medical Education and Training (140) Digital Health Meta-Research and Bibliographic Studies (76)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52461, first published .
Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis

Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis

Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis

Authors of this article:

Yuanhang He1, 2 Author Orcid Image ;   Zhihong Xie1, 2 Author Orcid Image ;   Jiachen Li1, 2 Author Orcid Image ;   Ziang Meng1, 2 Author Orcid Image ;   Dongbo Xue1, 2 Author Orcid Image ;   Chenjun Hao1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  2. Akiogbe O, Kobayashi Y, Kageyama I, Wakui N, Lim Y, Kodama K. Determinants and implications of mobile health application acceptability in high-income countries: an assessment. Drug Discovery Today 2025;30(10):104460 View
  3. Mousavi Baigi S, Norouzi Aval R, Sarbaz M, Tabatabaei S, Kimiafar K. Content and structural needs assessment for an artificial intelligence education mobile app in healthcare: a mixed methods study. BMC Medical Education 2025;25(1) View
  4. Sung J, Midorikawa-Inomata A, Fujio K, Inomata T. Expanding the horizon of oculomics: A narrative review on the emerging roles of the anterior segment and mobile health. Survey of Ophthalmology 2026 View
  5. Pyo S, Park C, Lee S, Kim J, Bae E, Kim Y. Accuracy and Reliability of Deep Learning-based 2D Posture Analysis. Journal of the Korean Society for Precision Engineering 2026;43(4):333 View