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Zhenwen Zhang

Biographic Data

ID7279629
NAMEZhenwen Zhang
GIVEN NAMESZhenwen
FAMILY NAMEZhang
SIGNATUREZHANG Z
AFFILIATIONSLanzhou University
ORCID0000-0001-8443-8779
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Sentiment Classification of Anxiety-Related Texts in Social Media via Fuzing Linguistic and Semantic Features

    Open Access•Jianghong Zhu, Zhenwen Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Anxiety disorder is a common mental disorder that has received increasing attention due to its high incidence, comorbidity, and recurrence. In recent years, with the rapid development of information technology, social media platforms have become a crucial source of data for studying anxiety disorders. Existing studies on anxiety disorders have focused on utilizing user-generated contents to study correlations with disorders or identify disorders.…

  • Baicalin suppresses macrophage JNK-mediated adipose tissue inflammation to mitigate insulin resistance in obesity

    Open Access•Ziyue Zhu, Mei Yu et al.•ARTICLE•Journal of Ethnopharmacology•2024

  • Leveraging Domain Knowledge to Improve Depression Detection on Chinese Social Media

    Open Access•Zhihua Guo, Nengneng Ding et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Depression is a prevalent and severe mental disorder that often goes undetected and untreated, particularly in its early stages. However, social media has emerged as a valuable resource for identifying symptoms of depression and other mental disorders as people are increasingly willing to share their experiences and emotions online. As such, social media-based depression detection has become an important area of research. Unfortunately, despite t…

  • Donald J. Trump’s Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era

    Open Access•Xiaolong Zheng, Xiao Wang et al.•ARTICLE•IEEE Transactions on Computational…•2021

    In the past few years, with the rapid growth of digital technologies, Facebook, Twitter, and other social media platforms have become the digital oligarchies, which have the enormous capabilities to potentially control what is discussed in cyberspace. In the digital oligarchy era, social perception and social influence in different complex social systems have evolved quickly. In this article, we conducted large-scale empirical studies on social p…

  • San-Huang-Tang protects obesity/diabetes induced NAFLD by upregulating PGC-1α/PEPCK signaling in obese and galr1 knockout mice models

    Open Access•Penghua Fang, Yabin Sun et al.•ARTICLE•Journal of Ethnopharmacology•2020

No prominent works on this page.

  • San-Huang-Tang protects obesity/diabetes induced NAFLD by upregulating PGC-1α/PEPCK signaling in obese and galr1 knockout mice models

    Open Access•Penghua Fang, Yabin Sun et al.•ARTICLE•Journal of Ethnopharmacology•2020

  • Donald J. Trump’s Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era

    Open Access•Xiaolong Zheng, Xiao Wang et al.•ARTICLE•IEEE Transactions on Computational…•2021

    In the past few years, with the rapid growth of digital technologies, Facebook, Twitter, and other social media platforms have become the digital oligarchies, which have the enormous capabilities to potentially control what is discussed in cyberspace. In the digital oligarchy era, social perception and social influence in different complex social systems have evolved quickly. In this article, we conducted large-scale empirical studies on social p…

  • Leveraging Domain Knowledge to Improve Depression Detection on Chinese Social Media

    Open Access•Zhihua Guo, Nengneng Ding et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Depression is a prevalent and severe mental disorder that often goes undetected and untreated, particularly in its early stages. However, social media has emerged as a valuable resource for identifying symptoms of depression and other mental disorders as people are increasingly willing to share their experiences and emotions online. As such, social media-based depression detection has become an important area of research. Unfortunately, despite t…

  • Sentiment Classification of Anxiety-Related Texts in Social Media via Fuzing Linguistic and Semantic Features

    Open Access•Jianghong Zhu, Zhenwen Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Anxiety disorder is a common mental disorder that has received increasing attention due to its high incidence, comorbidity, and recurrence. In recent years, with the rapid development of information technology, social media platforms have become a crucial source of data for studying anxiety disorders. Existing studies on anxiety disorders have focused on utilizing user-generated contents to study correlations with disorders or identify disorders.…

  • Baicalin suppresses macrophage JNK-mediated adipose tissue inflammation to mitigate insulin resistance in obesity

    Open Access•Ziyue Zhu, Mei Yu et al.•ARTICLE•Journal of Ethnopharmacology•2024

Computer Science (3 works) · Psychology (3 works) · Social media (3 works) · World Wide Web (3 works) · Adipokines, Inflammation, and Metabolic Diseases (2 works) · Adipose Tissue and Metabolism (2 works) · Artificial Intelligence (2 works) · Biology (2 works) · Endocrinology (2 works) · Internal Medicine (2 works)

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