Binbin Lin

Biographic Data

ID4056866
NAMEBinbin Lin
GIVEN NAMESBinbin
FAMILY NAMELin
SIGNATURELIN B
AFFILIATIONSTexas A&M University
ORCID0000-0002-7013-283X
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS3
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX1

  • Rapid Disaster Response and Damage Estimation with Social Media and Pretrained Large Language Models

    Bing Zhou, Lei Zou et al.ARTICLEAnnals of the American…2026References: 40

  • Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

    Open AccessYifan Yang, Lei Zou et al.ARTICLEComputers Environment and Urban…2025References: 17

    Street-view images offer unique advantages for disaster damage estimation as they capture impacts from a visual perspective and provide detailed, on-the-ground insights. Despite several investigations attempting to analyze street-view images for damage estimation, they mainly focus on using post-disaster images. The potential of time-series street-view images remains underexplored. Pre-disaster images provide valuable benchmarks for accurate dama…

  • Deciphering spatial-temporal dynamics of flood exposure in the United States

    Open AccessJoynal Abedin, Lei Zou et al.ARTICLESustainable Cities and Society2024

  • Overlooked voices under strict lockdown

    Bing Zhou, Lei Zou et al.ARTICLECartography and Geographic…2024Cited by: 2References: 1

    The COVID-19 pandemic that emerged in 2020 has caused significant health crises worldwide. Countries and regions around the globe have practiced different policies to contain the pandemic. One commonly adopted strategy is the Zero-COVID policy, comprising two phases: an initial suppression phase, typically enforced through lockdowns, followed by a sustained containment phase. However, sudden and strict lockdown policies in the suppression phase w…

  • Sensing the pulse of the pandemic

    Open AccessBinbin Lin, Lei Zou et al.ARTICLECartography and Geographic…2024References: 1

    Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users' reactions toward critical events. However, social media use varies across demographics, with younger users being more prevalent compared to older populations. This difference introduces biases in data representativeness, and analysis based on social media without proper adjustment will lead to overlooking the voices of digitally marginalized communities …

  • Association between long-term exposure to ambient particulate matter and pulmonary function among men and women in typical areas of South and North China

    Open AccessQihang Liu, Li Pan et al.ARTICLEFrontiers in Public Health2023

    Background Studies comparing the effects of different sizes and concentrations of ambient particulate matter (PM) on pulmonary function in different regions and sexes remain sparse. Objectives To investigate the associations of different sizes and levels of long-term ambient PM exposure with pulmonary function among people of different sexes in typical areas of South and North China. Methods In 2021, a total of 1,592 participants aged 20–73 years…

  • Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures

    Open AccessYaoda Hu, Huijing He et al.ARTICLEFrontiers in Public Health2023

    Background: Variations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures. Methods: We used data collected at the baseline survey (April-May 2021) of the Diverse Life-Course Cohort study and inclu…

  • Algorithmic uncertainties in geolocating social media data for disaster management

    Debayan Mandal, Lei Zou et al.ARTICLECartography and Geographic…2023Cited by: 1References: 2

    The rapid development of information and communications technology has turned individuals into sensors, fostering the growth of human-generated geospatial big data. In disaster management, geospatial big data, mainly social media data, have opened new avenues for observing human responses to disasters in near real-time. Previous research relies on geographical information in geotags, content, and user profiles to locate social media messages. How…

  • VictimFinder

    Open AccessBing Zhou, Lei Zou et al.ARTICLEComputers Environment and Urban…2022