1.人工智能與移動健康幹預
2.健康行為學理論研究
3.健康傳播
1. 數智健康支持下動態“三高”共管模式構建及幹預效果追蹤研究 國家自然科學基金(72474007) 2025.1-2028.12
2. 基於可穿設備的抑郁情感監測關鍵技術研究 北京市自然科學基金小米專項(L243037) 2024.7-2027.6
3.基於移動健康管理對不同人格特質2型糖尿病患者的自我管理行為幹預研究 國家自然科學基金面上項目(72174008)2022-2025
4.基於人工智能的移動健康行為幹預對糖尿病預防控製的效果追蹤研究 北京市衛健委重點攻關項目2022-2024
5.基於人工智能的社區高血壓患者自我管理幹預追蹤研究 北京市自然科學基金面上項目(7202087)2020-2022
6.北京市老年人新媒體使用態度與行為研究 北京市社會科學基金一般項目(21XCB007)2021-2023
7.直接☸️、間接支持在糖尿病患者行為改變各階段中的作用機製追蹤研究 國家自然科學基金面上項目(71673009) 2017-2020
8.應用階段變化模型和自我效能理論提高高血壓藥物治療依從性的幹預研究 北京市自然科學基金面上項目(7162105) 2016-2018
9.北京城鄉居民鹽勺使用追蹤的健康信念模式分析及鹽勺改良效果評價國家自然科學基金青年項目(81102176)2012-2014
10.智慧社區支持下的養老服務模式研究 北京市科協決策咨詢課題 2024.5-2024.12
1. 孫昕霙;李毅;陳平; 社區高血壓患者自我管理助手[簡稱:高血壓助手]1.0, 2024SR0330242, 原始取得, 全部權利, 2023-3-15 (軟件著作權)
2. 孫昕霙;吳一波👔;閔鶴葳;趙廷江🧗🏼♀️🏀;糖尿病高危人群人工智能知識圖譜平臺V1.0,2024SR0427533,原始取得, 全部權利, 2023-12-22 (軟件著作權)
3. Ping Chen, Yi Li, Xuxi Zhang, Xinglin Feng3*, Xinying Sun1*. The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixedmethods study. BMC Public Health (2024) 24:2266
4. Yu, Yebo, Hewei Min, Wei Pan, Ping Chen, Xuxi Zhang, and Xinying Sun*. Network analysis of the relationships between depressive symptoms and social participation activities among Chinese older adults and its implications for nursing. International Journal of Nursing Sciences 11, no. 4 (2024): 465-472.
5. Yu, Yebo, Yibo Wu, Ping Chen, Hewei Min, and Xinying Sun*. Associations between personality and problematic internet use among Chinese adolescents and young adults: A network analysis. Journal of Affective Disorders 365 (2024): 501-508.
6. Xinye Zou, Siyu Zou, Yi Guo, Di Peng, Hewei Min, Ruolin Zhang, Ruiwen Qin, Jianrong Mai, Yibo Wu, Xinying Sun*Association of smoking status and nicotine dependence with multi-morbidity in China: A nationally representative crosssectional study. Tobacco Induced Diseases. 2023;21(June):81
7. Yibo Wu #, Hewei Min #, Mingzi Li, Yuhui Shi, Aijuan Ma, Yumei Han, Yadi Gan, Xiaohui Guo and Xinying Sun*.Effect of Artificial Intelligence‑based Health Education Accurately Linking System (AI‑HEALS) for Type 2 diabetes self‑management: protocol for a mixed‑methods study. BMC Public Health ,2023, 23:1325
8. Ping Chen#, Ying Shen#, Zeming Li, Xinying Sun*, Xing Lin Feng* Edwin B. Fisher. What factors predict type 2 diabetes patients' adoption intention to wearable activity trackers-Application of Diffusion of Innovation Theory. Frontiers in Public Health-Aging and Public Health,2021,9:773293
9. Zeming Li , Zihan Li and Xinying Sun*.Exploration into the Influencing Factors for the Intention of the Public to Vaccinate against Infectious Diseases Based on the Theory of Planned Behavior—Example of the COVID-19 Vaccine. Vaccines 2023, 11, 1092
10. Min Gao#, Ping Chen#, Xinying Sun*, XingLin Feng* and Edwin B. Fisher. Integrating the Extended Theory of Planned Behavior With the Stages of Change to Predict Exercise Among Chinese People With Type 2 Diabetes. Frontiers in Public Health 2021,9:772564