https://ojs.sgsci.org/journals/jcmea/issue/feed 2025-03-05T00:00:00+08:00 Open Journal Systems <p><strong><em>Journal of Computational Methods in Engineering Applications</em></strong> is an international, peer-reviewed, and open-access journal that provides a platform for researchers and engineers to share their latest findings and innovations in computational engineering. The journal covers a wide range of topics, including modelling, solution techniques, and applications of computational methods in various engineering fields, such as manufacturing, industrial engineering, control engineering, civil engineering, energy engineering, and material engineering. The journal welcomes manuscripts that encompass theoretical advancements and practical applications of mathematical models about diverse discretization methods, such as finite element, boundary element, finite difference, finite volume, isogeometric, and meshless techniques, thereby covering a broad spectrum of simulation engineering science.</p> <p><strong>ISSN(Online): 3041-0509</strong></p> https://ojs.sgsci.org/journals/jcmea/article/view/294 2025-02-05T20:18:08+08:00 Han Shi csh@hznu.edu.cn Jiaye Qian csh@hznu.edu.cn Jing Kang csh@hznu.edu.cn Yuxuan Cui csh@hznu.edu.cn Yunhan Shao csh@hznu.edu.cn Kangnan Bao csh@hznu.edu.cn Lemin Fang csh@hznu.edu.cn Wangxu Yang csh@hznu.edu.cn Dunchun Yang csh@hznu.edu.cn Junyan Zhao csh@hznu.edu.cn Shihua Cao csh@hznu.edu.cn

<p><strong>Objective:</strong> To explore the current status and developmental trends in non-contact sleep monitoring, providing references for future research. <strong>Methods:</strong> A bibliometric analysis was conducted by retrieving literature related to non-contact sleep monitoring from the Web of Science database, covering records from its inception to December 2024. CiteSpace and Bibliometrix software were employed to perform visual analyses of annual publication trends, geographic distributions, institutional contributions, author collaborations, high-frequency keywords, and burst keywords. These analyses aimed to elucidate research landscapes, hotspots, and emerging directions, with corresponding visual maps generated. <strong>Results:</strong> A total of 625 articles were analyzed. Current research primarily focuses on the prevention and monitoring of sleep apnea syndrome and the development of Internet of Things (IoT)-based sleep monitoring systems. <strong>Conclusion:</strong> Non-contact sensing technologies for sleep monitoring have gained significant research momentum in recent years. Future studies in this field are expected to emphasize interdisciplinary integration and technological innovation. Further exploration of the clinical diagnostic potential and health management applications of non-contact sleep monitoring technologies is recommended, with an emphasis on advancing intelligent and precision-oriented developments.</p>

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