Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31097, first published .
Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Journals

  1. He X, Peng C, Xu Y, Zhang Y, Wang Z. Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis. JMIR Medical Informatics 2022;10(4):e33842 View
  2. Ruetsch C, Davis T, Liberman J, Velligan D, Robinson D, Jaeger C, Carpenter W, Forma F. Prescriber Attitudes, Experiences, and Proclivities Toward Digital Medicine and How They Influence Adoption of Digital Medicine Platforms. Neuropsychiatric Disease and Treatment 2021;Volume 17:3715 View
  3. Cwintal M, Ranjbar H, Bandamiri P, Guadagno E, Osmanlliu E, Poenaru D. A rapid review for developing a co-design framework for a pediatric surgical communication application. Journal of Pediatric Surgery 2023;58(5):879 View
  4. Cao J, Zhang G, Liu D. The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective. Healthcare 2022;10(3):479 View
  5. Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747 View
  6. Doarn C. The Changing Landscape of Health Care. Telemedicine and e-Health 2021;27(12):1323 View
  7. Rodríguez-González P, Iglesias D, Fernandez-Rio J, Gao Z. Effectiveness of interventions using apps to improve physical activity, sedentary behavior and diet: An umbrella review. Complementary Therapies in Clinical Practice 2023;50:101711 View
  8. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  9. Li S, Halabi R, Selvarajan R, Woerner M, Fillipo I, Banerjee S, Mosser B, Jain F, Areán P, Pratap A. Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study. JMIR Formative Research 2022;6(11):e40765 View
  10. Aydin A, Gursoy A. Breast cancer-related apps in Google Play and App store: evaluate their functionality and quality. Journal of Cancer Survivorship 2023;17(4):1251 View
  11. Shen A, Francisco L, Sen S, Tewari A. Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks. Journal of Medical Internet Research 2023;25:e43664 View
  12. Moffit R, McTigue K, Conroy M, Kriska A, Fischer G, Ricci E, Dunstan D, Deperrior S, Rao N, Burke L, Rockette-Wagner B. Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement. American Journal of Health Promotion 2023;37(8):1100 View
  13. Noda K, Lim Y, Sengoku S, Kodama K. Global biomarker trends in Alzheimer’s research: A bibliometric analysis. Drug Discovery Today 2023;28(8):103677 View
  14. Pinto A, Martinho D, Matos J, Greer D, Vieira A, Ramalho A, Marreiros G, Freitas A. Recommendation systems to promote behavior change in patients with diabetes mellitus type 2: A systematic review. Expert Systems with Applications 2023;231:120726 View
  15. Li M, Chen Y, Hu X, Wang S. The preferences for the telemedicine and standard health care services from the perspective of the patients with schizophrenia. BMC Psychiatry 2023;23(1) View
  16. Cheng T, Yu-Chieh Ho S, Chien T, Chou W. Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis. Medicine 2023;102(38):e35082 View
  17. 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
  18. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  19. Feng H, Kurata K, Cao J, Itsuki K, Niwa M, Aoyama A, Kodama K. Telemedicine Research Trends in 2001-2022 and Research Cooperation Between China and Other Countries Before and After the COVID-19 Pandemic: Bibliometric Analysis. Interactive Journal of Medical Research 2024;13:e40801 View
  20. Hach S, Alder G, Stavric V, Taylor D, Signal N. Usability Assessment Methods for Mobile Apps for Physical Rehabilitation: Umbrella Review. JMIR mHealth and uHealth 2024;12:e49449 View
  21. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review. Journal of Medical Internet Research 2025;27:e51955 View
  22. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View
  23. Dina L, Smith T, Hauser T, Dommett E. Naturalistic assessments across the lifespan: Systematic review of inhibition measures in ecological settings. Neuroscience & Biobehavioral Reviews 2024;167:105915 View
  24. Greenall A, Schmidt-Melbye I. Perceptions and management of risk in the translation of a Norwegian-language health app into English. Babel. Revue internationale de la traduction / International Journal of Translation / Revista Internacional de Traducción 2024 View
  25. Zhou S, Brady B, Anstey K. Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls. Behavior Research Methods 2025;57(2) View
  26. McMullan C, Turner G, Retzer A, Belli A, Davies E, Nice L, Flavell L, Flavell J, Calvert M. Testing an Electronic Patient-Reported Outcome Platform in the Context of Traumatic Brain Injury: PRiORiTy Usability Study. JMIR Formative Research 2025;9:e58128 View
  27. Akiogbe O, Feng H, Kurata K, Niwa M, Cao J, Zhang S, Kageyama I, Kobayashi Y, Lim Y, Kodama K. Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China. Behavioral Sciences 2025;15(2):213 View
  28. Shi J, Yue S, Chen H, Fang F, Wang X, Xue J, Zhao Y, Li Z, Sun C. Global output of clinical application research on artificial intelligence in the past decade: a scientometric study and science mapping. Systematic Reviews 2025;14(1) View
  29. Thorne H, Sophocleous R, Sprajcer M, Shriane A, Duncan M, Ferguson S, Vandelanotte C, Kolbe-Alexander T, Gupta C, Rigney G, Thomas M, Hilditch C, Peterson B, Vincent G. Examining the Feasibility of an App-based Sleep Intervention for Shiftworkers Using the RE-AIM Framework. Behavioral Sleep Medicine 2025:1 View
  30. Chen T, Ma W. Exploring Socio‐Economic Differences and Developer Medical Involvement of Dementia‐Related English Version Mobile Health Applications. International Journal of Geriatric Psychiatry 2025;40(3) View
  31. Zhang R, Wang H. Insights into the Technological Evolution and Research Trends of Mobile Health: Bibliometric Analysis. Healthcare 2025;13(7):740 View
  32. Noda K, Kageyama I, Kobayashi Y, Lim Y, Sengoku S, Kodama K. Leveraging mHealth wearables for managing patients with Alzheimer’s disease: a scoping review. Drug Discovery Today 2025:104363 View

Books/Policy Documents

  1. Cao J, Guo X. Mobile Health (mHealth). View
  2. Niwa M, Hara Y. Mobile Health (mHealth). View