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

Scientometrics, Infometrics, and Altmetrics (107) mHealth for Wellness, Behavior Change and Prevention (3079) Innovations and Technology for Physical Activity Education (810) Web-based and Mobile Health Interventions (3601) Mobile Health (mhealth) (3135) Digital Health Reviews (1489)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35747, first published .
mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis

mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis

mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis

Authors of this article:

Chieh-Chen Wu1, 2 Author Orcid Image ;   Chih-Wei Huang3 Author Orcid Image ;   Yao-Chin Wang4 Author Orcid Image ;   Md.Mohaimenul Islam3, 5 Author Orcid Image ;   Woon-Man Kung1 Author Orcid Image ;   Yung-Ching Weng2 Author Orcid Image ;   Chun-Hsien Su6 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

Journals

  1. Yang Z, Chen S, Bao R, Li R, Bao K, Feng R, Zhong Z, Wang X. Public Health Concern on Sedentary Behavior and Cardiovascular Disease: A Bibliometric Analysis of Literature from 1990 to 2022. Medicina 2022;58(12):1764 View
  2. Wu C, Su C, Islam M, Liao M. Artificial Intelligence in Dementia: A Bibliometric Study. Diagnostics 2023;13(12):2109 View
  3. Chen L, Zhen W, Peng D. Research on digital tool in cognitive assessment: a bibliometric analysis. Frontiers in Psychiatry 2023;14 View
  4. Basumatary B, Gul S, Verma M. Social attention to the scientific publications on mHealth research during Covid-19 outbreak: An altmetric study. Iberoamerican Journal of Science Measurement and Communication 2023;3(2) View
  5. Sae-lee K, Surangsrirat D, Parlawong C, Anawilkul T, Assawachamrun N, Boonbandan P, Ladapongpuwat P, Chupetch B, Thongchai S, Pruphetkaew N, Thongseiratch T, Vichitkunakorn P, Ngamchaliew P. Workout Logging Through an mHealth App for Weight Reduction Among Different Generations: Secondary Analysis of the MED PSU×ThaiSook Healthier Challenge. JMIR Formative Research 2023;7:e45298 View
  6. Jiang S, Ng J, Chong K, Peng B, Ha A. Effects of eHealth Interventions on 24-Hour Movement Behaviors Among Preschoolers: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e52905 View
  7. Wu C, Islam M, Poly T, Weng Y. Artificial Intelligence in Kidney Disease: A Comprehensive Study and Directions for Future Research. Diagnostics 2024;14(4):397 View
  8. Wu M, Islam M, Poly T, Lin M. Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis. Interactive Journal of Medical Research 2024;13:e54490 View
  9. Qi W, Zhu X, He D, Wang B, Cao S, Dong C, Li Y, Chen Y, Wang B, Shi Y, Jiang G, Liu F, Boots L, Li J, Lou X, Yao J, Lu X, Kang J. Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis. Journal of Medical Internet Research 2024;26:e57830 View
  10. König L, Western M, Denton A, Krukowski R. Umbrella review of social inequality in digital interventions targeting dietary and physical activity behaviors. npj Digital Medicine 2025;8(1) View
  11. Chen X, Wang F, Zhang H, Lin Y, Zhu S, Yang Y. Effectiveness of wearable activity trackers on physical activity among adolescents in school-based settings: a systematic review and meta-analysis. BMC Public Health 2025;25(1) View

Conference Proceedings

  1. Qi W, Cao S, Wang B, Zhu X, Dong C, He D, Chen Y, Shi Y, Wang B. 2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys). The Rise of Large Language Models in the Medical Field: A Bibliometric Analysis View