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Chenhong Wang

Biographic Data

ID7275984
NAMEChenhong Wang
GIVEN NAMESChenhong
FAMILY NAMEWang
SIGNATUREWANG C
AFFILIATIONSChina National Tobacco Corporation Zhejiang Company, China
ORCID0000-0003-0336-9279
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • An integration strategy combined progressive multivariate statistics with anticoagulant activity evaluation for screening anticoagulant quality markers in Chinese patent medicine

    Open Access•Kunze Du, Kun-ze Du et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Technical Ethics-Based AI Security Framework for Tobacco Industry

    Yuanxiang Ji, Chenhong Wang et al.

    To address ethical and safety risks including misleading marketing, minor exposure, and algorithmic opacity in artificial intelligence (AI) applications of the tobacco industry, this study proposed a technology-ethics dual-driven safety framework. It adopted a three-layer architecture: (1) a risk perception layer using multimodal sensing and federated learning for real-time detection and privacy preservation; (2) an ethical decision-making layer …

No prominent works on this page.

  • An integration strategy combined progressive multivariate statistics with anticoagulant activity evaluation for screening anticoagulant quality markers in Chinese patent medicine

    Open Access•Kunze Du, Kun-ze Du et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Technical Ethics-Based AI Security Framework for Tobacco Industry

    Yuanxiang Ji, Chenhong Wang et al.

    To address ethical and safety risks including misleading marketing, minor exposure, and algorithmic opacity in artificial intelligence (AI) applications of the tobacco industry, this study proposed a technology-ethics dual-driven safety framework. It adopted a three-layer architecture: (1) a risk perception layer using multimodal sensing and federated learning for real-time detection and privacy preservation; (2) an ethical decision-making layer …

Adversarial Robustness in Machine Learning (1 work) · Adversarial system (1 work) · Anticoagulant (1 work) · Audit (1 work) · Blockchain (1 work) · Blockchain Technology Applications and Security (1 work) · Chemistry (1 work) · Chromatography (1 work) · Corporate governance (1 work) · Discovery and development of direct thrombin inhibitors (1 work)

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