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Sheng Wen

Biographic Data

ID7932899
NAMESheng Wen
GIVEN NAMESSheng
FAMILY NAMEWen
SIGNATUREWEN S
AFFILIATIONSSwinburne University of Technology
ORCID0000-0003-0655-666X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Connecting Users With Similar Tendencies in Social Networks by Weighted Random Walking on Heterogeneous Information Network

    Open Access•Zhiwei Tang, Gaolei Fei et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The rapid development of Internet technology has made social networks central platforms for information dissemination and acquisition. As key participants, users exhibit increasingly complex connection patterns, reflecting the dynamic nature of online interactions. Therefore, in order to better understand and manage social networks, analyzing these connection patterns, particularly identifying the potential connections between users with similar …

  • Guhan Yangsheng Jing mitigates oxidative stress and ferroptosis to improve reproductive damage in Diabetic Male Rats

    Open Access•Xinying Fu, Yulan Jing et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Real-Time Detection of Covid-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method

    Open Access•Gaolei Fei, Yong Cheng et al.•ARTICLE•IEEE Transactions on Computational…•2023

    In the last two years, the outbreak of COVID-19 has significantly affected human life, society, and the economy worldwide. To prevent people from contracting COVID-19 and mitigate its spread, it is crucial to timely distribute complete, accurate, and up-to-date information about the pandemic to the public. In this article, we propose a spatial–temporally bursty-aware method called STBA for real-time detection of COVID-19 events from Twitter. STBA…

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  • Real-Time Detection of Covid-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method

    Open Access•Gaolei Fei, Yong Cheng et al.•ARTICLE•IEEE Transactions on Computational…•2023

    In the last two years, the outbreak of COVID-19 has significantly affected human life, society, and the economy worldwide. To prevent people from contracting COVID-19 and mitigate its spread, it is crucial to timely distribute complete, accurate, and up-to-date information about the pandemic to the public. In this article, we propose a spatial–temporally bursty-aware method called STBA for real-time detection of COVID-19 events from Twitter. STBA…

  • Guhan Yangsheng Jing mitigates oxidative stress and ferroptosis to improve reproductive damage in Diabetic Male Rats

    Open Access•Xinying Fu, Yulan Jing et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Connecting Users With Similar Tendencies in Social Networks by Weighted Random Walking on Heterogeneous Information Network

    Open Access•Zhiwei Tang, Gaolei Fei et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The rapid development of Internet technology has made social networks central platforms for information dissemination and acquisition. As key participants, users exhibit increasingly complex connection patterns, reflecting the dynamic nature of online interactions. Therefore, in order to better understand and manage social networks, analyzing these connection patterns, particularly identifying the potential connections between users with similar …

Medicine (2 works) · Algorithm (1 works) · Anomaly Detection Techniques and Applications (1 works) · Biology (1 works) · Cancer-related molecular mechanisms research (1 works) · Cancer, Lipids, and Metabolism (1 works) · Complex network (1 works) · Complex Network Analysis Techniques (1 works) · Computer Science (1 works) · Data-Driven Disease Surveillance (1 works)

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