Gong, Enying
Centre for Research and Technology Hellas
8 papers on CoChatORCID 0000-0003-2203-0369
Most cited papers
- Verified
My Diabetes Coach, a Mobile App–Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial
Gong, E., Baptista, S., Russell, A., Scuffham, P., Riddell, M., Speight, J., Bird, D., Williams, E., Lotfaliany, M., & Oldenburg, B. (2020) · Journal of Medical Internet Research
Mobile Health and mHealth ApplicationsDiabetes Management and Education
Cited by 159
- Verified
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials
Moschonis, G., Siopis, G., Jung, J., Eweka, E., Willems, R., Kwasnicka, D., Asare, B. Y.-A., Kodithuwakku, V., Verhaeghe, N., Vedanthan, R., et al. (2023) · The Lancet Digital Health
Mobile Health and mHealth ApplicationsDiabetes Management and Education
Cited by 149
- Verified
Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries
Xiong, S., Lu, H., Peoples, N., Duman, E. K., Najarro, A., Ni, Z., Gong, E., Yin, R., Ostbye, T., Palileo-Villanueva, L. M., et al. (2023) · npj Digital Medicine
Mobile Health and mHealth ApplicationsDigital Mental Health Interventions
Cited by 126
- Verified
Effectiveness of mHealth Interventions in Improving Medication Adherence Among People with Hypertension: a Systematic Review
Xiong, S., Berkhouse, H., Schooler, M., Pu, W., Sun, A., Gong, E., & Yan, L. L. (2018) · Current Hypertension Reports
Mobile Health and mHealth ApplicationsMedication Adherence and Compliance
Cited by 106
- Verified
Effectiveness of a primary care-based integrated mobile health intervention for stroke management in rural China (SINEMA): A cluster-randomized controlled trial
Yan, L. L., Gong, E., Gu, W., Turner, E. L., Gallis, J. A., Zhou, Y., Li, Z., McCormack, K. E., Xu, L.-Q., Bettger, J. P., et al. (2021) · PLOS Medicine
Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies
Cited by 98
- Verified
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials
Siopis, G., Moschonis, G., Eweka, E., Jung, J., Kwasnicka, D., Asare, B. Y.-A., Kodithuwakku, V., Willems, R., Verhaeghe, N., Annemans, L., et al. (2023) · The Lancet Digital Health
Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies
Cited by 87
- Verified
The Use and Promise of Conversational Agents in Digital Health
Dingler, T., Kwasnicka, D., Wei, J., Gong, E., & Oldenburg, B. (2021) · Yearbook of Medical Informatics
Mobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 81
- Verified
Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps
Gong, E., Zhang, Z., Jin, X., Liu, Y., Zhong, L., Wu, Y., Zhong, X., Yan, L. L., & Oldenburg, B. (2020) · JMIR mHealth and uHealth
Mobile Health and mHealth ApplicationsDiabetes Management and Education
Cited by 55
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