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Zehao Zhang

Biographic Data

ID7132604
NAMEZehao Zhang
GIVEN NAMESZehao
FAMILY NAMEZhang
SIGNATUREZHANG Z
AFFILIATIONSShandong Key Laboratory of Eco‐Environmental Science for the Yellow River Delta Shandong University of Aeronautics Binzhou China
ORCID0000-0003-4140-0572
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS0
AUTHOR COUNT10
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • A new potential intervention strategy to promote the “body-mind-brain” health development of Chinese children and adolescents

    Open Access•Long Jin, Kai Qi et al.•ARTICLE•Frontiers in Sports and Active…•2026

    Objective This scoping review maps the extent and nature of literature on Shaolin martial arts (SMA) and examines how direct, contextual, and indirect evidence may inform hypotheses about body-mind-brain health in children and adolescents. It does not evaluate intervention effectiveness. Methods Following PRISMA-ScR guidance, we searched PubMed, Web of Science, CNKI, and Wanfang Data from database inception to February 2026. Eligibility was defin…

  • How Climate Change and Human Activities Affect the Habitat Quality of the Yellow River Delta

    Open Access•Ying Wang, Zehao Zhang et al.•ARTICLE•Land Degradation and Development•2026

    Habitat quality (HQ) is a crucial indicator for assessing ecosystem services. Investigating HQ in the Yellow River Delta (YRD) and elucidating its relationships with climate change and human activities is crucial for supporting regional eco‐economic sustainability. Based on land use data from 1980, 1990, 2000, 2010, and 2020, the impacts and correlations of climate change and human activities on the ecological environment were analyzed using the …

  • A study on the use of smartphones among the elderly in Shaanxi Province, China

    Zehao Zhang, Min Tang et al.•ARTICLE•Educational Gerontology•2026

    Data from the 2021 China Longitudinal Healthy Longevity Survey shows that more than 50% of elderly aged 65–69 use smartphones, and even 1.3% of centenarians still use smartphones. A social survey in Shaanxi Province was conducted, and 650 valid questionnaires were obtained. Main findings are as follows: 1) Gender difference- male elderly have stronger willingness to consume online, lower demand for help, and a higher proportion of reported online…

  • Mechanisms Disturbing Forest Water Yield Stability in the Upper Yellow River Under Environmental Stress

    Open Access•Jiangang Zhao, Yumeng Su et al.•ARTICLE•Land Degradation and Development•2026

    Forests in the Upper Yellow River Basin (UYRB) function as critical headwater ecosystems where water‐yield stability (WYS) is a priority management concern given accelerating climate change and intensifying anthropogenic pressures. However, current assessments often treat the basin as a homogeneous whole, thereby obscuring the distinct hydrological stability mechanisms of forest ecosystems. Furthermore, reliance on linear assumptions or single, p…

  • Eco‐Environmental Effects and Driving Forces of Land Use Transition in the Yellow River Delta

    Open Access•Yao Zhang, Rui Hu et al.•ARTICLE•Land Degradation and Development•2026

    Analyzing the spatiotemporal evolution and driving forces of land‐use change in the Yellow River Delta is essential for optimizing territorial spatial layout, enhancing ecological protection, and advancing high‐quality regional development. This study is intended to clarify the quantitative link between land‐use transitions and ecological environmental effects, providing an analytical basis for revealing their coupling mechanisms and future land‐…

  • The impact of social media usage frequency on air travel behavior

    Open Access•Zehao Zhang, Zhiying Zhu•ARTICLE•Humanities and Social Sciences…•2025

    This study examines how the frequency of social media usage influences the air travel behavior of Chinese residents by integrating the Theory of Planned Behavior (TPB) and Media System Dependency (MSD) theory. Utilizing 2022 CFPS data, we have applied Logit regression, instrumental variable analysis, mediation analysis, marginal effect analysis, and Blinder-Oaxaca decomposition. Key findings include: (1) Frequent social media usage significantly …

  • Indirect Prediction Based on Machine Learning and Remote Sensing of Ecological Stoichiometric Ratio Superior to Direct Prediction

    Open Access•Zehao Zhang, Yuan Chi et al.•ARTICLE•Land Degradation and Development•2025

    Exploring carbon (C), nitrogen (N), and phosphorus (P) contents as well as dynamic balances in soil are important for understanding ecological characteristics and stability. However, the substantial costs associated with soil surveys limited the possibility of large‐scale surveys. The accurate predictive capability of machine learning (ML) supported this possibility. In this study, ML models (Random Forest, RF; support vector machine, SVM; Extrem…

  • Relationships between Dark Triad and negative emotions during Covid-19 lockdown

    Open Access•Minqi Yang, Chunyu Qu et al.•ARTICLE•Current Psychology•2024

    Personality is distal vulnerability of negative emotions and vital to mental health. Dark Triad was significantly correlated with negative emotions, whereas the mechanisms beneath the relationships were less clear. Based on life history strategy theory (LHS) and cognitive vulnerability-transactional stress model, the study explored the relationships between Dark Triad and negative emotions and investigated the roles of negative coping style and s…

  • Effects of short‐term nitrogen addition on rhizosphere and bulk soil bacterial community structure of three halophytes in the Yellow River Delta

    Open Access•Zehao Zhang, Tian Li et al.•ARTICLE•Land Degradation and Development•2023

    The total amount and rate of atmospheric nitrogen (N) deposition are constantly increasing, which substantially influences the soil microbial community structure and function. However, it is still unclear whether the responses of different plant rhizosphere soil bacterial community to short‐term N addition was consistent. Based on 16s rRNA sequencing, we investigated the responses of rhizosphere and bulk soil bacterial community of halophytes (sa…

  • Retracted Article

    Open Access•Zehao Zhang, Linling Xie et al.•ARTICLE•Current Psychology•2022

No prominent works on this page.

  • Retracted Article

    Open Access•Zehao Zhang, Linling Xie et al.•ARTICLE•Current Psychology•2022

  • Effects of short‐term nitrogen addition on rhizosphere and bulk soil bacterial community structure of three halophytes in the Yellow River Delta

    Open Access•Zehao Zhang, Tian Li et al.•ARTICLE•Land Degradation and Development•2023

    The total amount and rate of atmospheric nitrogen (N) deposition are constantly increasing, which substantially influences the soil microbial community structure and function. However, it is still unclear whether the responses of different plant rhizosphere soil bacterial community to short‐term N addition was consistent. Based on 16s rRNA sequencing, we investigated the responses of rhizosphere and bulk soil bacterial community of halophytes (sa…

  • Relationships between Dark Triad and negative emotions during Covid-19 lockdown

    Open Access•Minqi Yang, Chunyu Qu et al.•ARTICLE•Current Psychology•2024

    Personality is distal vulnerability of negative emotions and vital to mental health. Dark Triad was significantly correlated with negative emotions, whereas the mechanisms beneath the relationships were less clear. Based on life history strategy theory (LHS) and cognitive vulnerability-transactional stress model, the study explored the relationships between Dark Triad and negative emotions and investigated the roles of negative coping style and s…

  • The impact of social media usage frequency on air travel behavior

    Open Access•Zehao Zhang, Zhiying Zhu•ARTICLE•Humanities and Social Sciences…•2025

    This study examines how the frequency of social media usage influences the air travel behavior of Chinese residents by integrating the Theory of Planned Behavior (TPB) and Media System Dependency (MSD) theory. Utilizing 2022 CFPS data, we have applied Logit regression, instrumental variable analysis, mediation analysis, marginal effect analysis, and Blinder-Oaxaca decomposition. Key findings include: (1) Frequent social media usage significantly …

  • Indirect Prediction Based on Machine Learning and Remote Sensing of Ecological Stoichiometric Ratio Superior to Direct Prediction

    Open Access•Zehao Zhang, Yuan Chi et al.•ARTICLE•Land Degradation and Development•2025

    Exploring carbon (C), nitrogen (N), and phosphorus (P) contents as well as dynamic balances in soil are important for understanding ecological characteristics and stability. However, the substantial costs associated with soil surveys limited the possibility of large‐scale surveys. The accurate predictive capability of machine learning (ML) supported this possibility. In this study, ML models (Random Forest, RF; support vector machine, SVM; Extrem…

  • A new potential intervention strategy to promote the “body-mind-brain” health development of Chinese children and adolescents

    Open Access•Long Jin, Kai Qi et al.•ARTICLE•Frontiers in Sports and Active…•2026

    Objective This scoping review maps the extent and nature of literature on Shaolin martial arts (SMA) and examines how direct, contextual, and indirect evidence may inform hypotheses about body-mind-brain health in children and adolescents. It does not evaluate intervention effectiveness. Methods Following PRISMA-ScR guidance, we searched PubMed, Web of Science, CNKI, and Wanfang Data from database inception to February 2026. Eligibility was defin…

  • How Climate Change and Human Activities Affect the Habitat Quality of the Yellow River Delta

    Open Access•Ying Wang, Zehao Zhang et al.•ARTICLE•Land Degradation and Development•2026

    Habitat quality (HQ) is a crucial indicator for assessing ecosystem services. Investigating HQ in the Yellow River Delta (YRD) and elucidating its relationships with climate change and human activities is crucial for supporting regional eco‐economic sustainability. Based on land use data from 1980, 1990, 2000, 2010, and 2020, the impacts and correlations of climate change and human activities on the ecological environment were analyzed using the …

  • A study on the use of smartphones among the elderly in Shaanxi Province, China

    Zehao Zhang, Min Tang et al.•ARTICLE•Educational Gerontology•2026

    Data from the 2021 China Longitudinal Healthy Longevity Survey shows that more than 50% of elderly aged 65–69 use smartphones, and even 1.3% of centenarians still use smartphones. A social survey in Shaanxi Province was conducted, and 650 valid questionnaires were obtained. Main findings are as follows: 1) Gender difference- male elderly have stronger willingness to consume online, lower demand for help, and a higher proportion of reported online…

  • Mechanisms Disturbing Forest Water Yield Stability in the Upper Yellow River Under Environmental Stress

    Open Access•Jiangang Zhao, Yumeng Su et al.•ARTICLE•Land Degradation and Development•2026

    Forests in the Upper Yellow River Basin (UYRB) function as critical headwater ecosystems where water‐yield stability (WYS) is a priority management concern given accelerating climate change and intensifying anthropogenic pressures. However, current assessments often treat the basin as a homogeneous whole, thereby obscuring the distinct hydrological stability mechanisms of forest ecosystems. Furthermore, reliance on linear assumptions or single, p…

  • Eco‐Environmental Effects and Driving Forces of Land Use Transition in the Yellow River Delta

    Open Access•Yao Zhang, Rui Hu et al.•ARTICLE•Land Degradation and Development•2026

    Analyzing the spatiotemporal evolution and driving forces of land‐use change in the Yellow River Delta is essential for optimizing territorial spatial layout, enhancing ecological protection, and advancing high‐quality regional development. This study is intended to clarify the quantitative link between land‐use transitions and ecological environmental effects, providing an analytical basis for revealing their coupling mechanisms and future land‐…

Anxiety (2 works) · Biology (2 works) · Computer Science (2 works) · Ecology (2 works) · Impact of Technology on Adolescents (2 works) · Mental health (2 works) · Psychology (2 works) · Remote Sensing in Agriculture (2 works) · 16S ribosomal RNA (1 works) · Actinobacteria (1 works)

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