Bing Zhou
Biographic Data
| ID | 3914449 |
|---|---|
| NAME | Bing Zhou |
| GIVEN NAMES | Bing |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU B |
| AFFILIATIONS | Texas A&M University |
| ORCID | 0000-0002-8040-8182 |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 26 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain
Objective: To establish and validate interpretable machine-learning (ML) models for early assessment and identification of Chinese women at risk of excessive gestational weight gain (EGWG). Methods: We performed a prospective observational study with pregnant women whose gestational age averaged 19 weeks or less. These women attended the obstetric clinic of a tertiary hospital in CentralSouth China between January and June 2023, and again from Ap…
The “Double Reduction” Policy in China
This study develops a systematic, theory-driven evaluation index system to address the critical gap in assessing the implementation effectiveness of China’s “Double Reduction” policy. Grounded in Policy Implementation Theory and Educational Policy Evaluation Frameworks, the study employed a mixed-methods approach involving policy text analysis of five core documents and a two-round Delphi consultation with 23 experts (authority coefficient Cr = 0…
Nonlinear dynamics of surfing participation, flow, and enjoyment
Introduction: Understanding how participation in leisure sports shapes psychological experiences is an important issue in sport and recreation research. While previous studies have typically assumed a linear relationship between participation intensity and psychological outcomes, emerging perspectives suggest that such relationships may follow nonlinear patterns. The present study examines the nonlinear relationships between surfing participation…
FlowsDT
Communities worldwide increasingly confront flood hazards intensified by climate change, urban expansion, and environmental degradation. Addressing these challenges requires real-time flood analysis, precise flood forecasting, and robust risk communications with stakeholders to implement efficient mitigation strategies. Recent advances in hydrodynamic modeling and digital twins afford new opportunities for high-resolution flood simulation and vis…
Rapid Disaster Response and Damage Estimation with Social Media and Pretrained Large Language Models
Comprehensive insights into the disease burden linked to air pollution exposure across U.S. states
Background Ambient air pollution persists as a critical global health threat, ranking fourth among risk factors for premature mortality. Despite decades of air quality improvements in the U.S. through regulatory measures, persistent health impacts remain, driven primarily by particulate matter (PM 2 .5) and ozone. Objective This study aimed to quantify long-term trends (1990–2021) in air pollution-attributable disease burdens across U.S. states, …
Impact Mechanism and Effect Analysis of the Integration of Digital Economy and Real Economy on China’s Regional Low-Carbon Transitions
In the context of carbon peaking and carbon neutrality, this study addresses how the integration of digital economy and real economy (IDRE) influences regional low-carbon transitions (RLCT). Such exploration enhances the high-quality evolution of China’s economic landscape and contributes insights to the worldwide efforts against climate change and sustainable progress. Through the entropy method, this investigation develops a comprehensive index…
The influence of physical activity on emotional management ability in college students
PA significantly enhances college students' EMA through direct effects and a chain mediation pathway involving PR and HL. Coordinated interventions, including regular exercise, PR training, and health education, are recommended to optimize college students' psychological health
Where are GIScience faculty hired from? Analyzing faculty mobility and research themes through hiring networks
Academia is profoundly influenced by faculty hiring networks, which serve as critical conduits for knowledge dissemination and the formation of collaborative research initiatives. While extensive research in various disciplines has revealed the institutional hierarchies inherent in these networks, their impacts within GIScience remain underexplored. To fill this gap, this study analyzes the placement patterns of 946 GIScience faculty worldwide by…
Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models
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…
Understanding the disparate impacts of the 2021 Texas winter storm and power outages through mobile phone location data and nighttime light images
Impact of Mianzi consciousness on unethical pro-organizational behavior
Prime
Deciphering spatial-temporal dynamics of flood exposure in the United States
Exploring Mianzi consciousness congruence and its impact on unethical pro-organizational behavior
This research advanced a novel, synergistic perspective on the role of social Mianzi and contributed to the localized UPB research, thus helping to find a path to prevent UPB from occurring in the Chinese sociocultural context
The spatial-temporal evolution characteristics and influencing factors of the coupling between the industrial chain and innovation chain in China
Exploring the theoretical logic, development characteristics and improvement paths of the deep coupling of innovation chains and industrial chains (two-chain) is of great importance for building a modern industrial system and developing productive forces. However, empirical evidence on the spatial-temporal characteristics and influencing factors of two-chain coupling is still lacking. In this study, the degree of coupling coordination model is ap…
Overlooked voices under strict lockdown
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
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 …
Social media for emergency rescue
How Does Emissions Trading Affect the Efficiency of Enterprise Resource Allocation? Evidence From China
Emission trading policies can provide environmental incentives for businesses, leading to a reduction in pollution emissions and promoting sustainable environmental development. Previous research indicated the significant impact of market-based environmental regulations on emission reduction by businesses, however, there is a lack of in-depth examination from the perspective of overall corporate management efficiency. In this study, we conducted …
Algorithmic uncertainties in geolocating social media data for disaster management
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…
Agent-Based Campus Novel Coronavirus Infection and Control Simulation
Corona Virus Disease 2019 (COVID-19), due to its extremely high infectivity, has been spreading rapidly around the world and bringing huge influence to socioeconomic development and people’s daily life. Taking for example the virus transmission that may occur after college students return to school, we analyze the quantitative influence of the key factors on the virus spread, including crowd density and self-protection. One Campus Virus Infection…
VictimFinder
Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques
Groundwater is an eco-environmental factor and critical resource required for human life and socioeconomic development. Understanding the evolution of groundwater chemistry and its controlling factors are imperative for preventing its deterioration and ensuring its sustainable use. We studied the characteristics of groundwater chemistry in the Huangshui River Basin in Qinghai Province, China using hydrochemical techniques. Additionally, we identi…
Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China
Based on the panel data of eleven provinces and cities in the Yangtze River Economic Belt of China from 2008 to 2018, both the optimization index of the industrial structure and environmental performance indexes are calculated. Then, the impact of industrial structure optimization on the improvement of ecological environmental performance was investigated by applying the static panel model and threshold model. The results show that the optimizati…
Overlooked voices under strict lockdown
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…
Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China
Based on the panel data of eleven provinces and cities in the Yangtze River Economic Belt of China from 2008 to 2018, both the optimization index of the industrial structure and environmental performance indexes are calculated. Then, the impact of industrial structure optimization on the improvement of ecological environmental performance was investigated by applying the static panel model and threshold model. The results show that the optimizati…
Algorithmic uncertainties in geolocating social media data for disaster management
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…
An updated review of worldwide levels of docosahexaenoic and arachidonic acid in human breast milk by region
Objective We aimed to evaluate the DHA and arachidonic acid (AA) levels in human breast milk worldwide by country, region and socio-economic status. Design Descriptive review conducted on English publications reporting breast-milk DHA and AA levels. Setting We systematically searched and identified eligible literature in PubMed from January 1980 to July 2015. Data on breast-milk DHA and AA levels from women who had given birth to term infants wer…
Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques
Groundwater is an eco-environmental factor and critical resource required for human life and socioeconomic development. Understanding the evolution of groundwater chemistry and its controlling factors are imperative for preventing its deterioration and ensuring its sustainable use. We studied the characteristics of groundwater chemistry in the Huangshui River Basin in Qinghai Province, China using hydrochemical techniques. Additionally, we identi…
Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China
Based on the panel data of eleven provinces and cities in the Yangtze River Economic Belt of China from 2008 to 2018, both the optimization index of the industrial structure and environmental performance indexes are calculated. Then, the impact of industrial structure optimization on the improvement of ecological environmental performance was investigated by applying the static panel model and threshold model. The results show that the optimizati…
Agent-Based Campus Novel Coronavirus Infection and Control Simulation
Corona Virus Disease 2019 (COVID-19), due to its extremely high infectivity, has been spreading rapidly around the world and bringing huge influence to socioeconomic development and people’s daily life. Taking for example the virus transmission that may occur after college students return to school, we analyze the quantitative influence of the key factors on the virus spread, including crowd density and self-protection. One Campus Virus Infection…
VictimFinder
Social media for emergency rescue
How Does Emissions Trading Affect the Efficiency of Enterprise Resource Allocation? Evidence From China
Emission trading policies can provide environmental incentives for businesses, leading to a reduction in pollution emissions and promoting sustainable environmental development. Previous research indicated the significant impact of market-based environmental regulations on emission reduction by businesses, however, there is a lack of in-depth examination from the perspective of overall corporate management efficiency. In this study, we conducted …
Algorithmic uncertainties in geolocating social media data for disaster management
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…
Understanding the disparate impacts of the 2021 Texas winter storm and power outages through mobile phone location data and nighttime light images
Impact of Mianzi consciousness on unethical pro-organizational behavior
Prime
Deciphering spatial-temporal dynamics of flood exposure in the United States
Exploring Mianzi consciousness congruence and its impact on unethical pro-organizational behavior
This research advanced a novel, synergistic perspective on the role of social Mianzi and contributed to the localized UPB research, thus helping to find a path to prevent UPB from occurring in the Chinese sociocultural context
The spatial-temporal evolution characteristics and influencing factors of the coupling between the industrial chain and innovation chain in China
Exploring the theoretical logic, development characteristics and improvement paths of the deep coupling of innovation chains and industrial chains (two-chain) is of great importance for building a modern industrial system and developing productive forces. However, empirical evidence on the spatial-temporal characteristics and influencing factors of two-chain coupling is still lacking. In this study, the degree of coupling coordination model is ap…
Overlooked voices under strict lockdown
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
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 …
Comprehensive insights into the disease burden linked to air pollution exposure across U.S. states
Background Ambient air pollution persists as a critical global health threat, ranking fourth among risk factors for premature mortality. Despite decades of air quality improvements in the U.S. through regulatory measures, persistent health impacts remain, driven primarily by particulate matter (PM 2 .5) and ozone. Objective This study aimed to quantify long-term trends (1990–2021) in air pollution-attributable disease burdens across U.S. states, …
Impact Mechanism and Effect Analysis of the Integration of Digital Economy and Real Economy on China’s Regional Low-Carbon Transitions
In the context of carbon peaking and carbon neutrality, this study addresses how the integration of digital economy and real economy (IDRE) influences regional low-carbon transitions (RLCT). Such exploration enhances the high-quality evolution of China’s economic landscape and contributes insights to the worldwide efforts against climate change and sustainable progress. Through the entropy method, this investigation develops a comprehensive index…
The influence of physical activity on emotional management ability in college students
PA significantly enhances college students' EMA through direct effects and a chain mediation pathway involving PR and HL. Coordinated interventions, including regular exercise, PR training, and health education, are recommended to optimize college students' psychological health
Where are GIScience faculty hired from? Analyzing faculty mobility and research themes through hiring networks
Academia is profoundly influenced by faculty hiring networks, which serve as critical conduits for knowledge dissemination and the formation of collaborative research initiatives. While extensive research in various disciplines has revealed the institutional hierarchies inherent in these networks, their impacts within GIScience remain underexplored. To fill this gap, this study analyzes the placement patterns of 946 GIScience faculty worldwide by…
Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models
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…
Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain
Objective: To establish and validate interpretable machine-learning (ML) models for early assessment and identification of Chinese women at risk of excessive gestational weight gain (EGWG). Methods: We performed a prospective observational study with pregnant women whose gestational age averaged 19 weeks or less. These women attended the obstetric clinic of a tertiary hospital in CentralSouth China between January and June 2023, and again from Ap…
The “Double Reduction” Policy in China
This study develops a systematic, theory-driven evaluation index system to address the critical gap in assessing the implementation effectiveness of China’s “Double Reduction” policy. Grounded in Policy Implementation Theory and Educational Policy Evaluation Frameworks, the study employed a mixed-methods approach involving policy text analysis of five core documents and a two-round Delphi consultation with 23 experts (authority coefficient Cr = 0…
Nonlinear dynamics of surfing participation, flow, and enjoyment
Introduction: Understanding how participation in leisure sports shapes psychological experiences is an important issue in sport and recreation research. While previous studies have typically assumed a linear relationship between participation intensity and psychological outcomes, emerging perspectives suggest that such relationships may follow nonlinear patterns. The present study examines the nonlinear relationships between surfing participation…
FlowsDT
Communities worldwide increasingly confront flood hazards intensified by climate change, urban expansion, and environmental degradation. Addressing these challenges requires real-time flood analysis, precise flood forecasting, and robust risk communications with stakeholders to implement efficient mitigation strategies. Recent advances in hydrodynamic modeling and digital twins afford new opportunities for high-resolution flood simulation and vis…
Geography (10 works) · Computer Science (8 works) · Medicine (7 works) · Disaster Management and Resilience (6 works) · Artificial Intelligence (5 works) · Cartography (5 works) · Business (4 works) · Energy, Environment, Economic Growth (4 works) · Environmental Science (4 works) · Social media (4 works)