Analyzing and predicting user participations in online health communities: a social support perspective X Wang, K Zhao, N Street Journal of medical Internet research 19 (4), e6834, 2017 | 190 | 2017 |
Social support and user engagement in online health communities X Wang, K Zhao, N Street Smart Health: International Conference, ICSH 2014, Beijing, China, July 10 …, 2014 | 113 | 2014 |
A multirelational social network analysis of an online health community for smoking cessation K Zhao, X Wang, S Cha, AM Cohn, GD Papandonatos, MS Amato, ... Journal of medical Internet research 18 (8), e233, 2016 | 68 | 2016 |
User Recommendations in Reciprocal and Bipartite Social Networks--An Online Dating Case Study K Zhao, X Wang, M Yu, B Gao IEEE intelligent systems 29 (2), 27-35, 2013 | 55 | 2013 |
Mining user-generated content in an online smoking cessation community to identify smoking status: a machine learning approach X Wang, K Zhao, S Cha, MS Amato, AM Cohn, JL Pearson, ... Decision support systems 116, 26-34, 2019 | 46 | 2019 |
A prospective examination of online social network dynamics and smoking cessation AL Graham, K Zhao, GD Papandonatos, B Erar, X Wang, MS Amato, ... PloS one 12 (8), e0183655, 2017 | 43 | 2017 |
Integrated resource assignment and scheduling optimization with limited critical equipment constraints at an automated container terminal H Li, J Peng, X Wang, J Wan IEEE Transactions on Intelligent Transportation Systems 22 (12), 7607-7618, 2020 | 28 | 2020 |
The evolution and diffusion of user roles in online health communities: A social support perspective X Wang, Z Zuo, K Zhao 2015 International Conference on Healthcare Informatics, 48-56, 2015 | 27 | 2015 |
Predicting users' continued engagement in online health communities from the quantity and quality of received support X Wang, A High, X Wang, K Zhao Journal of the Association for Information Science and Technology 72 (6 …, 2021 | 24 | 2021 |
Link prediction in heterogeneous information networks: An improved deep graph convolution approach X Wang, Y Chai, H Li, D Wu Decision Support Systems 141, 113448, 2021 | 23 | 2021 |
Discussions of alcohol use in an online social network for smoking cessation: analysis of topics, sentiment, and social network centrality AM Cohn, MS Amato, K Zhao, X Wang, S Cha, JL Pearson, ... Alcoholism: Clinical and Experimental Research 43 (1), 108-114, 2019 | 23 | 2019 |
A hybrid differential evolution algorithm for flexible job shop scheduling with outsourcing operations and job priority constraints H Li, X Wang, J Peng Expert Systems with Applications 201, 117182, 2022 | 22 | 2022 |
How US smokers refer to e-cigarettes: An examination of user-generated posts from a web-based smoking cessation intervention, 2008–2015 JL Pearson, MS Amato, X Wang, K Zhao, S Cha, AM Cohn, ... Nicotine & tobacco research 19 (2), 253-257, 2017 | 18 | 2017 |
Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use JL Pearson, MS Amato, GD Papandonatos, K Zhao, B Erar, X Wang, ... Addictive behaviors 87, 39-45, 2018 | 15 | 2018 |
E-book adoption behaviors through an online sharing platform: a multi-relational network perspective X Wang, W Wang, Y Chai, Y Wang, N Zhang Information Technology & People 33 (3), 1011-1035, 2020 | 13 | 2020 |
A descriptive study of the prevalence and typology of alcohol-related posts in an online social network for smoking cessation AM Cohn, K Zhao, S Cha, X Wang, MS Amato, JL Pearson, ... Journal of studies on alcohol and drugs 78 (5), 665-673, 2017 | 8 | 2017 |
Graph convolutional network-based model for incident-related congestion prediction: a case study of Shanghai expressways X Wang, Y Chai, H Li, W Wang, W Sun ACM Transactions on Management Information Systems (TMIS) 12 (3), 1-22, 2021 | 7 | 2021 |
A preliminary investigation of COVID‐19 transmission in the United States by incorporating social media sentiments T Tan, T Huang, X Wang, Z Zuo Proceedings of the Association for Information Science and Technology 57 (1 …, 2020 | 5 | 2020 |
Inferring smoking status from user generated content in an online cessation community MS Amato, GD Papandonatos, S Cha, X Wang, K Zhao, AM Cohn, ... Nicotine and Tobacco Research 21 (2), 205-211, 2019 | 5 | 2019 |
Talk more about yourself: A data-driven extended theory of reasoned action for online health communities X Wang, Z Zuo, X Tong, Y Zhu Information Technology and Management, 1-14, 2022 | 4 | 2022 |