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Haodong Wu

Biographic Data

ID3915615
NAMEHaodong Wu
GIVEN NAMESHaodong
FAMILY NAMEWu
SIGNATUREWU H
AFFILIATIONSXi'an Honghui Hospital
ORCID0000-0003-4830-4970
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Public Sentiment Towards Interactive Art on Multi-Modal Social Media

    Open Access•Shunfeng Zhang, Jiaxuan Gong et al.•ARTICLE•SAGE Open•2026

    This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomi…

  • Efficacy of Rhizoma Drynariae (Drynaria roosii Nakaike) extracts in treating osteoporosis in rat models

    Open Access•Ruoyang Tang, Rui Tang et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • The factors influencing user loyalty in virtual green games

    Open Access•Haodong Wu, Yinying Tao et al.•ARTICLE•Sustainable Futures•2025•References: 4

  • Cohesion Model and Scenario Simulation for Risk Prevention of “Blockchain + Agriculture Crowdfunding” from the Synergistic Perspective

    Open Access•Ye Xue, Ying Li et al.•ARTICLE•SAGE Open•2024

    Aiming at the problems such as scattered subjects, static mode and single function, this paper explores a dynamic synergistic risk prevention mode of agricultural crowdfunding that adapts to the age of data intelligence. Based on multiple prevention subjects, the blockchain technology and cohesion principle are introduced into agricultural crowdfunding prevention, and then a risk prevention dynamic model of “blockchain + agricultural crowdfunding…

No prominent works on this page.

  • Cohesion Model and Scenario Simulation for Risk Prevention of “Blockchain + Agriculture Crowdfunding” from the Synergistic Perspective

    Open Access•Ye Xue, Ying Li et al.•ARTICLE•SAGE Open•2024

    Aiming at the problems such as scattered subjects, static mode and single function, this paper explores a dynamic synergistic risk prevention mode of agricultural crowdfunding that adapts to the age of data intelligence. Based on multiple prevention subjects, the blockchain technology and cohesion principle are introduced into agricultural crowdfunding prevention, and then a risk prevention dynamic model of “blockchain + agricultural crowdfunding…

  • The factors influencing user loyalty in virtual green games

    Open Access•Haodong Wu, Yinying Tao et al.•ARTICLE•Sustainable Futures•2025•References: 4

  • Public Sentiment Towards Interactive Art on Multi-Modal Social Media

    Open Access•Shunfeng Zhang, Jiaxuan Gong et al.•ARTICLE•SAGE Open•2026

    This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomi…

  • Efficacy of Rhizoma Drynariae (Drynaria roosii Nakaike) extracts in treating osteoporosis in rat models

    Open Access•Ruoyang Tang, Rui Tang et al.•ARTICLE•Journal of Ethnopharmacology•2026

Business (2 works) · Computer Science (2 works) · Marketing (2 works) · Advertising (1 work) · Aesthetic Perception and Analysis (1 work) · Agriculture (1 work) · ANT (1 work) · Blockchain (1 work) · Bone Metabolism and Diseases (1 work) · Computer network (1 work)

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