{"id":2109,"date":"2025-02-07T13:06:24","date_gmt":"2025-02-07T11:06:24","guid":{"rendered":"https:\/\/sites.uef.fi\/learning-analytics\/?page_id=2109"},"modified":"2026-03-03T10:45:58","modified_gmt":"2026-03-03T08:45:58","slug":"chengxin","status":"publish","type":"page","link":"https:\/\/sites.uef.fi\/learning-analytics\/members\/chengxin\/","title":{"rendered":"Chengxin Zhang"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<div class=\"person-card\">\n    \n                    <div class=\"person-card-item\">\n                    <div class=\"person-card-column-left\">\n                                                    <img decoding=\"async\" class=\"person-card-image\" src=\"https:\/\/sites.uef.fi\/learning-analytics\/wp-content\/uploads\/sites\/444\/2025\/02\/chen.jpg\" alt=\"Chengxin\" \/>\n                                            <\/div>\n\n                    <div class=\"person-card-column-right\">\n                                                <p class=\"person-card-name\">Chengxin Zhang<\/p>\n                        \n                                                <p class=\"person-card-position\">Doctoral Researcher<\/p>\n                        \n                                                <p class=\"person-card-organisation\">Email: chengxin.zhang@uef.fi<\/p>\n                        \n                        \n                                            <\/div>\n                <\/div>\n                            <\/div>\n\n\n\n<p>Chengxin is a doctoral researcher in Computer Science at the University of Eastern Finland. Her research interests include virtual patients, multimodal learning, natural language processing, and social network analysis. During her master\u2019s studies, she gained research experience in online social networks, with a particular focus on rumor detection, modeling rumor diffusion dynamics, and predicting rumor diffusion trends. Her current doctoral research focuses on analyzing medical students\u2019 clinical reasoning processes within virtual patient platform, aiming to enhance learning efficiency and improve the overall quality of medical education.<\/p>\n\n\n\n<p>Chengxin enjoys challenging new things and works hard. She is passionate about research with practical significance and hopes to use the knowledge she has acquired to solve real-life problems. She enjoys sharing ideas with different people, which allows her to have a more comprehensive understanding and analysis of things. She is good at communication and has strong organizational skills. She looks forward to making contributions in the interdisciplinary field of computer science, medicine and education.<\/p>\n\n\n\n<p>See me at: <a href=\"https:\/\/www.linkedin.com\/in\/chengxin-zhang-ab4bb5310\/\">LinkedIn<\/a> <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=_VhCcyAAAAAJ\">GoogleScholar<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Publications<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Zhang, C.<\/strong>, Wang, L., Lin, Y., &amp; Wang, X. (2024). PLP-SSAF: Improved Online Rumor Detection Combining Propagation Link Prediction and Semantic-Structure Adaptive Fusion.&nbsp;<em>IEEE Transactions on Computational Social Systems<\/em>,&nbsp;<em>12<\/em>(5), 2171-2185.<\/li>\n\n\n\n<li><strong>Zhang, C.<\/strong>, Lin, Y., Wang, X., &amp; Hao, Y. (2023). A trend prediction method for misinformation spreading with time delay effect.&nbsp;<em>IEEJ Transactions on Electrical and Electronic Engineering<\/em>,&nbsp;<em>18<\/em>(9), 1459-1471.<\/li>\n\n\n\n<li><strong>Zhang, C.<\/strong>, Wang, X., Lin, Y., &amp; Hao, Y. (2022, November). The impact of time delay and user\u2019s behavior on the dissemination process of rumor in mobile social networks. In&nbsp;<em>China Conference on Wireless Sensor Networks<\/em>&nbsp;(pp. 154-161). Singapore: Springer Nature Singapore.<\/li>\n\n\n\n<li>Hao, Y., Wang, X., Lin, Y., &amp; <strong>Zhang, C.<\/strong> (2022, November). Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks. In&nbsp;<em>China Conference on Wireless Sensor Networks<\/em>&nbsp;(pp. 145-153). Singapore: Springer Nature Singapore.<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chengxin is a doctoral researcher in Computer Science at the University of Eastern Finland. Her research interests include virtual patients, multimodal learning, natural language processing, and social network analysis. During her master\u2019s studies, she gained research experience in online social networks, with a particular focus on rumor detection, modeling rumor diffusion dynamics, and predicting rumor [&hellip;]<\/p>\n","protected":false},"author":704,"featured_media":0,"parent":290,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2109","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chengxin Zhang - Learning Analytics Unit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/learning-analytics\/members\/chengxin\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Chengxin Zhang - Learning Analytics Unit\" \/>\n<meta property=\"og:description\" content=\"Chengxin is a doctoral researcher in Computer Science at the University of Eastern Finland. Her research interests include virtual patients, multimodal learning, natural language processing, and social network analysis. 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