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Wenzhe Sun

Biographic Data

ID4616747
NAMEWenzhe Sun
GIVEN NAMESWenzhe
FAMILY NAMESun
SIGNATURESUN W
AFFILIATIONSKyoto University
ORCID0000-0002-7305-8671
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Railway-station-area vitality in response to Covid-19

    Open Access•Jiannan Dai, Wenzhe Sun et al.•ARTICLE•Cities•2025•References: 2

  • Recovering urban nightlife

    Open Access•Enrique Santiago-Iglesias, Gustavo Romanillos et al.•ARTICLE•Journal of Maps•2024

    Nightlife in urban areas is gaining interest due to its role as a stimulus of the local economy, tourism, safety, and public services. However, most studies analyse nighttime activity from a qualitative perspective and at a general urban scale, without going into a detailed spatial analysis. In this paper, we have used the spatio-temporal details of Google Places data, and the activity trends at a variety of facilities that provide Google Popular…

  • Light in the darkness

    Open Access•Enrique Santiago-Iglesias, Gustavo Romanillos et al.•ARTICLE•Cities•2024•References: 32

    City nightlife supports a significant part of our social interactions, enhancing social wellbeing and community-building dynamics. COVID-19 impact on nightlife has been particularly dramatic and expanded over time. Few studies have analyzed this impact, and nightlife recovery remains even less explored. This study examines the post-COVID-19 recovery of nightlife using mobile phone data in Kyoto (Japan) and Madrid (Spain), two cities with differen…

  • Explaining a century of Swiss regional development by deep learning and SHAP values

    Open Access•Youxi Lai, Wenzhe Sun et al.•ARTICLE•Environment and Planning B Urban…•2023

    We use a graph convolutional neural network (GCN) for regional development prediction with population, railway network density, and road network density of each municipality as development indicators. By structuring the long-term time series data from 2833 municipalities in Switzerland during the years 1910–2000 as graphs over time, the GCN model interprets the indicators as node features and produces an acceptable prediction accuracy on their fu…

  • Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward

    Open Access•Kai Shen, Jan‐dirk Schmöcker et al.•ARTICLE•Transportation•2023

  • A Comparative Study on the Psychological Health of Frontline Health Workers in Wuhan Under and After the Lockdown

    Open Access•Xiuli Qiu, Yan Lan et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: The coronavirus disease-2019 (COVID-19) outbreak and a 3-month lockdown of Wuhan may have had a long-term impact on the mental health of frontline healthcare workers (HWs). However, there is still a lack of comparative studies on the mental health of front-line HWs in the initial phase of the lockdown and 1 month after the lifting of the lockdown. Methods: We recruited 1717 HWs during the initial phase of the lockdown and 2214 HWs 1 m…

  • Association of Cerebral Artery Stenosis With Post-stroke Depression at Discharge and 3 Months After Ischemic Stroke Onset

    Open Access•Xiuli Qiu, Jinfeng Miao et al.•ARTICLE•Frontiers in Psychiatry•2020

    Background: Post-stroke depression (PSD) is one of the most common complications after stroke, which seriously affects patients' recovery outcome. Although vascular depression has been extensively studied, the relationship between cerebral artery stenosis and PSD has not been clarified so far. Methods: Two hundred ninety-eight patients with ischemic stroke (72 women, 226 men) with computed tomography angiography (CTA) or magnetic resonance angiog…

  • Lower Serum Uric Acid Is Associated With Post-Stroke Depression at Discharge

    Open Access•Li Guo, Guo Li et al.•ARTICLE•Frontiers in Psychiatry•2020

    Lower SUA levels on admission were found to be associated with PSD at discharge and the threshold effect was also revealed. For stroke patients, doctors should pay attention to the baseline SUA for screening high-risk PSD at discharge in clinical practice

No prominent works on this page.

  • Association of Cerebral Artery Stenosis With Post-stroke Depression at Discharge and 3 Months After Ischemic Stroke Onset

    Open Access•Xiuli Qiu, Jinfeng Miao et al.•ARTICLE•Frontiers in Psychiatry•2020

    Background: Post-stroke depression (PSD) is one of the most common complications after stroke, which seriously affects patients' recovery outcome. Although vascular depression has been extensively studied, the relationship between cerebral artery stenosis and PSD has not been clarified so far. Methods: Two hundred ninety-eight patients with ischemic stroke (72 women, 226 men) with computed tomography angiography (CTA) or magnetic resonance angiog…

  • Lower Serum Uric Acid Is Associated With Post-Stroke Depression at Discharge

    Open Access•Li Guo, Guo Li et al.•ARTICLE•Frontiers in Psychiatry•2020

    Lower SUA levels on admission were found to be associated with PSD at discharge and the threshold effect was also revealed. For stroke patients, doctors should pay attention to the baseline SUA for screening high-risk PSD at discharge in clinical practice

  • A Comparative Study on the Psychological Health of Frontline Health Workers in Wuhan Under and After the Lockdown

    Open Access•Xiuli Qiu, Yan Lan et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: The coronavirus disease-2019 (COVID-19) outbreak and a 3-month lockdown of Wuhan may have had a long-term impact on the mental health of frontline healthcare workers (HWs). However, there is still a lack of comparative studies on the mental health of front-line HWs in the initial phase of the lockdown and 1 month after the lifting of the lockdown. Methods: We recruited 1717 HWs during the initial phase of the lockdown and 2214 HWs 1 m…

  • Explaining a century of Swiss regional development by deep learning and SHAP values

    Open Access•Youxi Lai, Wenzhe Sun et al.•ARTICLE•Environment and Planning B Urban…•2023

    We use a graph convolutional neural network (GCN) for regional development prediction with population, railway network density, and road network density of each municipality as development indicators. By structuring the long-term time series data from 2833 municipalities in Switzerland during the years 1910–2000 as graphs over time, the GCN model interprets the indicators as node features and produces an acceptable prediction accuracy on their fu…

  • Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward

    Open Access•Kai Shen, Jan‐dirk Schmöcker et al.•ARTICLE•Transportation•2023

  • Recovering urban nightlife

    Open Access•Enrique Santiago-Iglesias, Gustavo Romanillos et al.•ARTICLE•Journal of Maps•2024

    Nightlife in urban areas is gaining interest due to its role as a stimulus of the local economy, tourism, safety, and public services. However, most studies analyse nighttime activity from a qualitative perspective and at a general urban scale, without going into a detailed spatial analysis. In this paper, we have used the spatio-temporal details of Google Places data, and the activity trends at a variety of facilities that provide Google Popular…

  • Light in the darkness

    Open Access•Enrique Santiago-Iglesias, Gustavo Romanillos et al.•ARTICLE•Cities•2024•References: 32

    City nightlife supports a significant part of our social interactions, enhancing social wellbeing and community-building dynamics. COVID-19 impact on nightlife has been particularly dramatic and expanded over time. Few studies have analyzed this impact, and nightlife recovery remains even less explored. This study examines the post-COVID-19 recovery of nightlife using mobile phone data in Kyoto (Japan) and Madrid (Spain), two cities with differen…

  • Railway-station-area vitality in response to Covid-19

    Open Access•Jiannan Dai, Wenzhe Sun et al.•ARTICLE•Cities•2025•References: 2

Geography (5 works) · Medicine (5 works) · Urban Transport and Accessibility (4 works) · Business (3 works) · Depression (economics (3 works) · Internal Medicine (3 works) · Tourism (3 works) · Advertising (2 works) · Archaeology (2 works) · Computer Science (2 works)

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