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Lihao Zhang

Biographic Data

ID6319087
NAMELihao Zhang
GIVEN NAMESLihao
FAMILY NAMEZhang
SIGNATUREZHANG L
AFFILIATIONSChina University of Geosciences
ORCID0000-0002-3543-914X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS10
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Is AI chatbot recommendation convincing customer? An analytical response based on the elaboration likelihood model

    Open Access•Xiaoyi Zhang, Angelina Lilac Chen et al.•ARTICLE•Acta Psychologica•2024

    The integration of artificial intelligence (AI) technology in e-commerce has currently stimulated scholarly attention, however studies on AI and e-commerce generally relatively few. The current study aims to evaluate how artificial intelligence (AI) chatbots persuade users to consider chatbot recommendations in a web-based buying situation. Employing the theory of elaboration likelihood, the current study presents an analytical framework for iden…

  • Evolution and its driving forces of rural settlements along the roadsides in the northeast of Jianghan Plain, China

    Open Access•Bo Geng, Yugang Tian et al.•ARTICLE•Land Use Policy•2023•Cited by: 10•References: 54

  • Smoking Status and Cognitive Function in a National Sample of Older Adults

    Open Access•Qiaoyang Zhang, Min Zhang et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study suggests that cigarette smoking is associated with processing speed among the American elderly

  • Effective Remediation of Arsenic-Contaminated Soils by EK-PRB of Fe/Mn/C-LDH

    Open Access•Zongqiang Zhu, Shuai Zhou et al.•ARTICLE•International Journal of…•2022

    Arsenic is highly toxic and carcinogenic. The aim of the present work is to develop a good remediation technique for arsenic-contaminated soils. Here, a novel remediation technique by coupling electrokinetics (EK) with the permeable reactive barriers (PRB) of Fe/Mn/C-LDH composite was applied for the remediation of arsenic-contaminated soils. The influences of electric field strength, PRB position, moisture content and PRB filler type on the remo…

  • Evolution and its driving forces of rural settlements along the roadsides in the northeast of Jianghan Plain, China

    Open Access•Bo Geng, Yugang Tian et al.•ARTICLE•Land Use Policy•2023•Cited by: 10•References: 54

  • Smoking Status and Cognitive Function in a National Sample of Older Adults

    Open Access•Qiaoyang Zhang, Min Zhang et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study suggests that cigarette smoking is associated with processing speed among the American elderly

  • Effective Remediation of Arsenic-Contaminated Soils by EK-PRB of Fe/Mn/C-LDH

    Open Access•Zongqiang Zhu, Shuai Zhou et al.•ARTICLE•International Journal of…•2022

    Arsenic is highly toxic and carcinogenic. The aim of the present work is to develop a good remediation technique for arsenic-contaminated soils. Here, a novel remediation technique by coupling electrokinetics (EK) with the permeable reactive barriers (PRB) of Fe/Mn/C-LDH composite was applied for the remediation of arsenic-contaminated soils. The influences of electric field strength, PRB position, moisture content and PRB filler type on the remo…

  • Evolution and its driving forces of rural settlements along the roadsides in the northeast of Jianghan Plain, China

    Open Access•Bo Geng, Yugang Tian et al.•ARTICLE•Land Use Policy•2023•Cited by: 10•References: 54

  • Is AI chatbot recommendation convincing customer? An analytical response based on the elaboration likelihood model

    Open Access•Xiaoyi Zhang, Angelina Lilac Chen et al.•ARTICLE•Acta Psychologica•2024

    The integration of artificial intelligence (AI) technology in e-commerce has currently stimulated scholarly attention, however studies on AI and e-commerce generally relatively few. The current study aims to evaluate how artificial intelligence (AI) chatbots persuade users to consider chatbot recommendations in a web-based buying situation. Employing the theory of elaboration likelihood, the current study presents an analytical framework for iden…

Ecology (2 works) · Agriculture (1 work) · AI in Service Interactions (1 work) · Alternative medicine (1 work) · Archaeology (1 work) · Arsenic (1 work) · Chatbot (1 work) · Chemistry (1 work) · China (1 work) · Cigarette smoking (1 work)

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