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Weidong Guo

Biographic Data

ID4013902
NAMEWeidong Guo
GIVEN NAMESWeidong
FAMILY NAMEGuo
SIGNATUREGUO W
AFFILIATIONSNanjing University
ORCID0000-0002-3276-6284
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Evolution and proximity analysis of oil and natural gas trade networks among the Belt and Road Initiative countries

    Open Access•Wenlong Yang, Wentian Shi et al.•ARTICLE•Humanities and Social Sciences…•2026

    Based on 2009–2018 BRI countries' oil and natural gas trade, this paper uses social network analysis to construct and compare the topological, spatial, and community structures of oil and gas trade networks. It extends the gravity model to analyze proximity effects in both networks. The findings are as follows: Both the oil and natural gas trade networks exhibited a trend toward densification. However, the oil trade network showed higher national…

  • Contrasting effects of urbanization on vegetation between the Global South and Global North

    Open Access•Jiuyi Chen, Bo Qiu et al.•ARTICLE•Nature Sustainability•2025•References: 3

  • Unpacking the dynamics of international research collaboration network

    Open Access•Qinchang Gui, Wei Xu et al.•ARTICLE•Technology in Society•2025•References: 9

  • Global burden of low back pain and its attributable risk factors from 1990 to 2021

    Open Access•Yue Li, Yu’e Li et al.•ARTICLE•Frontiers in Public Health•2024

    Background: This study aimed to examine the evolving trends in the global burden of low back pain (LBP) from 1990 to 2021 and predicted disease burden until 2035. Materials and methods: LBP-related data were obtained from the Global Health Data Exchange (GHDx) query tool. All estimates and their 95% uncertainty intervals (UIs) were generated using DisMod-MR 2.1, a Bayesian meta-regression tool in Global Burden of Disease, Injury, and Risk Factor …

  • Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography

    Open Access•Jiuyi Chen, Bo Qiu et al.•ARTICLE•Environmental Research Letters•2023

    Extreme precipitation events have posed a threat to global terrestrial ecosystems in recent decades. However, the response of terrestrial ecosystems to extreme precipitation in areas with various vegetation types and complex topography remains unclear. Here, we used satellite-based solar-induced chlorophyll fluorescence measurements, a direct proxy of photosynthetic activity, to assess the response of vegetation to the record-breaking extreme pre…

  • Shift of soil moisture-temperature coupling exacerbated 2022 compound hot-dry event in eastern China

    Open Access•Yueyang Ni, Bo Qiu et al.•ARTICLE•Environmental Research Letters•2023

    Compound hot-dry events (CHDEs) are among the deadliest climate hazards and are occurring with increasing frequency under global warming. The Yangtze River Basin in China experienced a record-breaking CHDE in the summer of 2022, causing severe damage to human societies and ecosystems. Recent studies have emphasized the role of atmospheric circulation anomalies in driving this event. However, the contribution of land–atmosphere feedback to the dev…

  • Greening vegetation cools mean and extreme near-surface air temperature in China

    Open Access•Yipeng Cao, Weidong Guo et al.•ARTICLE•Environmental Research Letters•2023

    Satellite observations have shown evident vegetation greening in China during the last two decades. The biophysical effects of vegetation changes on near-surface air temperature (SAT) remain elusive because prior studies focused on the effects on land surface temperature (LST). SAT is more relevant to climate mitigation and adaptation, as this temperature is experienced by humans. Here, we provide the first observational evidence of the greening …

  • Dryland climate change

    Open Access•JIANPING HUANG, Y Li et al.•ARTICLE•Reviews of Geophysics•2017

    Drylands are home to more than 38% of the world's population and are one of the most sensitive areas to climate change and human activities. This review describes recent progress in dryland climate change research. Recent findings indicate that the long‐term trend of the aridity index (AI) is mainly attributable to increased greenhouse gas emissions, while anthropogenic aerosols exert small effects but alter its attributions. Atmosphere‐land inte…

  • Evaluating Ceop model performance in semi-arid region of China

    Open Access•Xiaolu Ling, Weidong Guo et al.•ARTICLE•Environmental Research Letters•2012

    This study systematically evaluates simulations of near-surface temperature and precipitation using the station observations collected in the semi-arid region of China during the Coordinated Enhanced Observing Period (CEOP) from October 2002 to December 2004 (EOP3 and EOP4). The outputs being evaluated are from eight general circulation models (GCMs) archived by the Coordinated Energy and Water Cycle Observations Project (CEOP), as well as a mult…

No prominent works on this page.

  • Evaluating Ceop model performance in semi-arid region of China

    Open Access•Xiaolu Ling, Weidong Guo et al.•ARTICLE•Environmental Research Letters•2012

    This study systematically evaluates simulations of near-surface temperature and precipitation using the station observations collected in the semi-arid region of China during the Coordinated Enhanced Observing Period (CEOP) from October 2002 to December 2004 (EOP3 and EOP4). The outputs being evaluated are from eight general circulation models (GCMs) archived by the Coordinated Energy and Water Cycle Observations Project (CEOP), as well as a mult…

  • Dryland climate change

    Open Access•JIANPING HUANG, Y Li et al.•ARTICLE•Reviews of Geophysics•2017

    Drylands are home to more than 38% of the world's population and are one of the most sensitive areas to climate change and human activities. This review describes recent progress in dryland climate change research. Recent findings indicate that the long‐term trend of the aridity index (AI) is mainly attributable to increased greenhouse gas emissions, while anthropogenic aerosols exert small effects but alter its attributions. Atmosphere‐land inte…

  • Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography

    Open Access•Jiuyi Chen, Bo Qiu et al.•ARTICLE•Environmental Research Letters•2023

    Extreme precipitation events have posed a threat to global terrestrial ecosystems in recent decades. However, the response of terrestrial ecosystems to extreme precipitation in areas with various vegetation types and complex topography remains unclear. Here, we used satellite-based solar-induced chlorophyll fluorescence measurements, a direct proxy of photosynthetic activity, to assess the response of vegetation to the record-breaking extreme pre…

  • Shift of soil moisture-temperature coupling exacerbated 2022 compound hot-dry event in eastern China

    Open Access•Yueyang Ni, Bo Qiu et al.•ARTICLE•Environmental Research Letters•2023

    Compound hot-dry events (CHDEs) are among the deadliest climate hazards and are occurring with increasing frequency under global warming. The Yangtze River Basin in China experienced a record-breaking CHDE in the summer of 2022, causing severe damage to human societies and ecosystems. Recent studies have emphasized the role of atmospheric circulation anomalies in driving this event. However, the contribution of land–atmosphere feedback to the dev…

  • Greening vegetation cools mean and extreme near-surface air temperature in China

    Open Access•Yipeng Cao, Weidong Guo et al.•ARTICLE•Environmental Research Letters•2023

    Satellite observations have shown evident vegetation greening in China during the last two decades. The biophysical effects of vegetation changes on near-surface air temperature (SAT) remain elusive because prior studies focused on the effects on land surface temperature (LST). SAT is more relevant to climate mitigation and adaptation, as this temperature is experienced by humans. Here, we provide the first observational evidence of the greening …

  • Global burden of low back pain and its attributable risk factors from 1990 to 2021

    Open Access•Yue Li, Yu’e Li et al.•ARTICLE•Frontiers in Public Health•2024

    Background: This study aimed to examine the evolving trends in the global burden of low back pain (LBP) from 1990 to 2021 and predicted disease burden until 2035. Materials and methods: LBP-related data were obtained from the Global Health Data Exchange (GHDx) query tool. All estimates and their 95% uncertainty intervals (UIs) were generated using DisMod-MR 2.1, a Bayesian meta-regression tool in Global Burden of Disease, Injury, and Risk Factor …

  • Contrasting effects of urbanization on vegetation between the Global South and Global North

    Open Access•Jiuyi Chen, Bo Qiu et al.•ARTICLE•Nature Sustainability•2025•References: 3

  • Unpacking the dynamics of international research collaboration network

    Open Access•Qinchang Gui, Wei Xu et al.•ARTICLE•Technology in Society•2025•References: 9

  • Evolution and proximity analysis of oil and natural gas trade networks among the Belt and Road Initiative countries

    Open Access•Wenlong Yang, Wentian Shi et al.•ARTICLE•Humanities and Social Sciences…•2026

    Based on 2009–2018 BRI countries' oil and natural gas trade, this paper uses social network analysis to construct and compare the topological, spatial, and community structures of oil and gas trade networks. It extends the gravity model to analyze proximity effects in both networks. The findings are as follows: Both the oil and natural gas trade networks exhibited a trend toward densification. However, the oil trade network showed higher national…

Environmental Science (6 works) · Geography (6 works) · Climate change (5 works) · Climate variability and models (5 works) · Climatology (5 works) · Atmospheric sciences (4 works) · Ecology (4 works) · Geology (4 works) · Meteorology (4 works) · Arid (3 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae