Wenlong Li
Biographic Data
| ID | 5741076 |
|---|---|
| NAME | Wenlong Li |
| GIVEN NAMES | Wenlong |
| FAMILY NAME | Li |
| SIGNATURE | LI W |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0003-3144-6219 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 20 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Risk factors and predictive modeling of postpartum depression among postpartum women
Background: Postpartum depression (PPD) is a prevalent mental health condition that significantly impacts the wellbeing of mothers and their families. Early identification of high-risk women continues to be a challenge in public health practice. This study focuses on postpartum women in Chongqing, China, aiming to identify key psychosocial and demographic risk factors for PPD. Using logistic regression, we constructed and validated a predictive m…
Measuring Spatial–Semantic Coupling in Historic Districts Using Space Syntax and the CLIP Model
The 2024 World Heritage inscription of the Beijing Central Axis shifts the focus of historic district governance to quality-oriented urban regeneration. However, evaluating the precise alignment between infrastructural topology and cultural meaning remains a methodological challenge. To move beyond macro-level assumptions, this study constructs a novel “spatial–semantic coupling” diagnostic framework. Integrating multi-source street-view data, Sp…
Decoding urban park use patterns from a day–night disparity perspective
Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investi…
Predicting Student Performance Using a Cost-Sensitive Deep Learning Network With Sparse Attention Mechanism
Contribution: This study proposes a student performance prediction model that leverages real-world data on students’ daily academic activities to forecast their academic outcomes. The predicted results can be used to provide students with personalized and adaptive support. Background: Traditional educational assessment systems face systemic challenges such as weak data support, high subjectivity, lack of scientific rigor, and insufficient persona…
A machine learning-based assessment strategy for Artemisia argyi Folium
An Examination of the Impact of China’s Compulsory Education Levels on Urban Economic Resilience
This study examines panel data from 31 provincial capitals in China from 2008 to 2022, focusing on the important relationship between compulsory education levels and urban economic resilience. Our findings reveal a concerning trend: disparities in education levels are widening, while urban economic resilience is exhibiting a pattern of “low-low clustering and high-high convergence,” indicating an urgent need for targeted interventions. Higher lev…
Theory of mind, empathy, and prosocial behavior in children and adolescent
Oxidation of commercial antioxidants is driving increasing atmospheric abundance of organophosphate esters
Trends in Research on Traditional Chinese Health Exercises for Improving Cognitive Function
Although previous studies have investigated the ability of traditional Chinese health exercises (TCHEs) to improve cognitive function, few have utilized bibliometric analyses to address this topic. We aimed to investigate the current status of and developmental trends in this field from 2001 to 2020. We searched the Web of Science Core Collection (WoSCC) for all research publications on cognitive function in relation to TCHEs. CiteSpace V was use…
Influence of Rural Social Capital and Production Mode on the Subjective Well-Being of Farmers and Herdsmen
Rural areas are crucial to the realization of sustainable development goals (SDGs). Rural social capital is indispensable for these areas to fulfil the SDGs. As China pursues rural revitalization, it is essential to achieve the sustainable development of rural areas within the agropastoral transition zone (APTZ) in northern China. The same applies to the SDGs' realization in other APTZs across the globe. From the micro perspective of individual f…
On-line screening of natural antioxidants and the antioxidant activity prediction for the extracts from flowers of Chrysanthemum morifolium ramat
The Causes and Prevention of Commercial Contract Cheating in the Era of Digital Education
Evolution Characters and Influencing Factors of Regional Eco-Efficiency in a Developing Country
The sandstorm in 2021 in East Asia demonstrated the ecological issues that culminated for decades in Mongolia. Mongolia is facing challenges to realize green and sustainable development. This article aims to increase the understanding of eco-efficiency and its influencing factors in Mongolia and to provide a reference for similar developing countries and regions to achieve green and sustainable development. This article used the Slacks-Based Meas…
Privacy’s Blueprint
Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages
The Effect of Social Capital on Environmental Pollution in China—Suppression or Promotion
The 19th National Congress of the Communist Party of China clearly regards the prevention and control of environmental pollution as one of the "three key battles" to build a well-off society. This paper analyzes the relationship between social capital and environmental pollution from both theoretical and empirical perspectives. From the theoretical perspective, social capital has two opposite effects on environmental pollution: the suppression an…
Effect of Land Expropriation on Land-Lost Farmers’ Health
With rapid urbanization and industry development, China has witnessed substantial land acquisition. Using the rural household survey data, this paper examines the impact of land expropriation on land-lost farmers' self-reported health with the ordered probit model and investigates the possible mechanisms. The results show that the land expropriation puts higher health risks over those land-lost farmers and the health status of land-lost farmers i…
Rhodiola crenulata root ameliorates derangements of glucose and lipid metabolism in a rat model of the metabolic syndrome and type 2 diabetes
Salacia oblonga ameliorates hypertriglyceridemia and excessive ectopic fat accumulation in laying hens
Spatiotemporal analysis of ecological footprint and biological capacity of Gansu, China 1991–2015
Ecological footprint methodology, as an excellent educational tool applicable to global issues, is essential for quantifying humanity's consumption of natural capital, for overall assessments of human impact on earth as well as for planning for a sustainable future. At present, quantitative studies on the development trends of ecological footprint (EF) time series and biological capacity (BC) time series in a given region are still rare. In this …
Spatiotemporal analysis of ecological footprint and biological capacity of Gansu, China 1991–2015
Ecological footprint methodology, as an excellent educational tool applicable to global issues, is essential for quantifying humanity's consumption of natural capital, for overall assessments of human impact on earth as well as for planning for a sustainable future. At present, quantitative studies on the development trends of ecological footprint (EF) time series and biological capacity (BC) time series in a given region are still rare. In this …
The Causes and Prevention of Commercial Contract Cheating in the Era of Digital Education
Spatiotemporal analysis of ecological footprint and biological capacity of Gansu, China 1991–2015
Ecological footprint methodology, as an excellent educational tool applicable to global issues, is essential for quantifying humanity's consumption of natural capital, for overall assessments of human impact on earth as well as for planning for a sustainable future. At present, quantitative studies on the development trends of ecological footprint (EF) time series and biological capacity (BC) time series in a given region are still rare. In this …
Rhodiola crenulata root ameliorates derangements of glucose and lipid metabolism in a rat model of the metabolic syndrome and type 2 diabetes
Salacia oblonga ameliorates hypertriglyceridemia and excessive ectopic fat accumulation in laying hens
Effect of Land Expropriation on Land-Lost Farmers’ Health
With rapid urbanization and industry development, China has witnessed substantial land acquisition. Using the rural household survey data, this paper examines the impact of land expropriation on land-lost farmers' self-reported health with the ordered probit model and investigates the possible mechanisms. The results show that the land expropriation puts higher health risks over those land-lost farmers and the health status of land-lost farmers i…
Privacy’s Blueprint
Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages
The Effect of Social Capital on Environmental Pollution in China—Suppression or Promotion
The 19th National Congress of the Communist Party of China clearly regards the prevention and control of environmental pollution as one of the "three key battles" to build a well-off society. This paper analyzes the relationship between social capital and environmental pollution from both theoretical and empirical perspectives. From the theoretical perspective, social capital has two opposite effects on environmental pollution: the suppression an…
Evolution Characters and Influencing Factors of Regional Eco-Efficiency in a Developing Country
The sandstorm in 2021 in East Asia demonstrated the ecological issues that culminated for decades in Mongolia. Mongolia is facing challenges to realize green and sustainable development. This article aims to increase the understanding of eco-efficiency and its influencing factors in Mongolia and to provide a reference for similar developing countries and regions to achieve green and sustainable development. This article used the Slacks-Based Meas…
Trends in Research on Traditional Chinese Health Exercises for Improving Cognitive Function
Although previous studies have investigated the ability of traditional Chinese health exercises (TCHEs) to improve cognitive function, few have utilized bibliometric analyses to address this topic. We aimed to investigate the current status of and developmental trends in this field from 2001 to 2020. We searched the Web of Science Core Collection (WoSCC) for all research publications on cognitive function in relation to TCHEs. CiteSpace V was use…
Influence of Rural Social Capital and Production Mode on the Subjective Well-Being of Farmers and Herdsmen
Rural areas are crucial to the realization of sustainable development goals (SDGs). Rural social capital is indispensable for these areas to fulfil the SDGs. As China pursues rural revitalization, it is essential to achieve the sustainable development of rural areas within the agropastoral transition zone (APTZ) in northern China. The same applies to the SDGs' realization in other APTZs across the globe. From the micro perspective of individual f…
On-line screening of natural antioxidants and the antioxidant activity prediction for the extracts from flowers of Chrysanthemum morifolium ramat
The Causes and Prevention of Commercial Contract Cheating in the Era of Digital Education
Oxidation of commercial antioxidants is driving increasing atmospheric abundance of organophosphate esters
Theory of mind, empathy, and prosocial behavior in children and adolescent
An Examination of the Impact of China’s Compulsory Education Levels on Urban Economic Resilience
This study examines panel data from 31 provincial capitals in China from 2008 to 2022, focusing on the important relationship between compulsory education levels and urban economic resilience. Our findings reveal a concerning trend: disparities in education levels are widening, while urban economic resilience is exhibiting a pattern of “low-low clustering and high-high convergence,” indicating an urgent need for targeted interventions. Higher lev…
Risk factors and predictive modeling of postpartum depression among postpartum women
Background: Postpartum depression (PPD) is a prevalent mental health condition that significantly impacts the wellbeing of mothers and their families. Early identification of high-risk women continues to be a challenge in public health practice. This study focuses on postpartum women in Chongqing, China, aiming to identify key psychosocial and demographic risk factors for PPD. Using logistic regression, we constructed and validated a predictive m…
Measuring Spatial–Semantic Coupling in Historic Districts Using Space Syntax and the CLIP Model
The 2024 World Heritage inscription of the Beijing Central Axis shifts the focus of historic district governance to quality-oriented urban regeneration. However, evaluating the precise alignment between infrastructural topology and cultural meaning remains a methodological challenge. To move beyond macro-level assumptions, this study constructs a novel “spatial–semantic coupling” diagnostic framework. Integrating multi-source street-view data, Sp…
Decoding urban park use patterns from a day–night disparity perspective
Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investi…
Predicting Student Performance Using a Cost-Sensitive Deep Learning Network With Sparse Attention Mechanism
Contribution: This study proposes a student performance prediction model that leverages real-world data on students’ daily academic activities to forecast their academic outcomes. The predicted results can be used to provide students with personalized and adaptive support. Background: Traditional educational assessment systems face systemic challenges such as weak data support, high subjectivity, lack of scientific rigor, and insufficient persona…
A machine learning-based assessment strategy for Artemisia argyi Folium
China (8 works) · Medicine (5 works) · Political science (5 works) · Biology (4 works) · Computer Science (4 works) · Economics (4 works) · Geography (4 works) · Psychology (4 works) · Business (3 works) · Chemistry (3 works)