Zhihong Li
Biographic Data
| ID | 3713161 |
|---|---|
| NAME | Zhihong Li |
| GIVEN NAMES | Zhihong |
| FAMILY NAME | Li |
| SIGNATURE | LI Z |
| AFFILIATIONS | Renmin University of China |
| ORCID | 0000-0002-1281-2108 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
The antecedents of reading behavior in university libraries: A meta-analysis
Introduction Although university libraries have become important places for readers to improve their literacy, acquire knowledge, and conduct academic research, however, scholars still have limited understanding of the antecedents of reading behavior. Methods Drawing upon a comprehensive theoretical framework, we conducted a systematic review and meta-analysis to systematically summarize and outline the key determinants of current reading behavio…
Smoking, alcohol consumption, and psoriasis risk: A systematic review and dose-response meta-analysis of observational studies
Background: Smoking and alcohol consumption are modifiable behavioral exposures of public health relevance that may contribute to psoriasis risk, but the epidemiologic evidence remains inconsistent. Methods: We searched PubMed, Embase, Web of Science, and the Cochrane Library from inception to December 18, 2025, and included observational studies reporting adjusted associations between smoking or alcohol consumption and the risk of psoriasis. Ran…
The Antecedents of Organ Donation Intention and Behavior: A meta-Analysis
Despite rising demand for organ donation, global rates remain low. This systematic review and meta-analysis identified the key factors influencing organ donation intentions and behaviors. We established a theoretical framework outlining the key determinants of organ donation intent and behavior. The analysis included 85 studies (N = 310,476), our results identified 48 antecedents and compared their differences based on (1) demographics, (2) ratio…
Addressing “Political Anger” And “Non-Political Fear” In News Engagement: The Impact of Human-AI Interactions on Emotional and Behavioral Responses
The rise of AI technologies has transformed news consumption, yet little is known about the mechanism of how human-AI interactions influence audiences’ emotional reactions and civic behaviors. This study employed a 2 (China vs. U.S. AI chatbot) × 2 (cognitive vs. emotional language style) × 2 (political vs. nonpolitical news) factorial experimental design to address these questions. The results indicate that interacting with AI chatbots can mitig…
Biosecurity from non-native insects in Belt and Road countries: The role of donor–receiver patterns and human activity
The Belt and Road Initiative (BRI), as a green development initiative, highlights the importance of regional cooperation among participating countries to address the possibility of non-native organisms. We created a database of 8655 non-native insect records from 3059 non-native insect species of 312 families to better understand invasion vulnerability. Results showed that Coleoptera, Hemiptera, and Hymenoptera dominated, comprising 72.54% of all…
Depression and daytime dysfunction centralize the fatigue–sleep cascade in island firefighters: A symptom network and Bayesian DAG study
Depression (S4) and daytime dysfunction (P7) may serve as key nodes linking sleep and affective processes; fatigue may relate to psychological distress via sleep; and tenacity (C1) could play an upstream protective role. Sleep status and shift work may reorganize network structure without necessarily altering global connectivity. Targeted interventions may consider subjective sleep perception and psychological resilience in island-based firefight…
Improving answer quality using image-text coherence on social Q&A sites
Long-term exposure to particulate matter on cardiovascular and respiratory diseases in low- and middle-income countries: A systematic review and meta-analysis
Epidemiological analysis reveals a surge in inflammatory bowel disease among children and adolescents: A global, regional, and national perspective from 1990 to 2019 – insights from the China study
Background: The burden of inflammatory bowel disease (IBD) among children and adolescents is rising globally, with substantial variation in levels and trends of disease in different countries and regions, while data on the burden and trends were sparse in children and adolescents. We aimed to assess the trends and geographical differences in children and adolescents aged zero to 19 in 204 countries and territories over the past 30 years. Methods:…
The impacts of environmental regulation on regional green productivity growth in China: From the perspective of local-neighborhood effects
It is of great theoretical and practical implications for developing countries to achieve the win-win for economic growth and environmental performance.Extant studies focus on the local effect of environmental regulation, but ignore the neighborhood effect.This study tries to fill the gap from both the theoretical analysis and empirical test.We construct the theoretical framework of the localneighborhood effect of environmental regulation on regi…
Fresh insights for sustainable development: Collaborative governance of carbon emissions based on social network analysis
Global climate change caused by carbon emissions has brought severe challenges to the sustainable development of global economy. In this context, this study constructs a weighted and directed carbon emission network for the European Union (EU). We use social network analysis to measure the indicators of the structural characteristics of the EU carbon emission network, and employ cluster analysis to investigate the role of countries in the carbon …
Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study
Background As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing amount of deep learning-based researches in orthopedics. This bibliometric analysis aimed to identify the hotspots of deep learning applications in orthopedics in recent years and infer future research trends. Methods We screened global publication on deep learning applications in orthopedics by acc…
A Novel Environment Estimation Method of Whole Sample Traffic Flows and Emissions Based on Multifactor MFD
Vehicle emissions seriously affect the air environment and public health. The dynamic estimation method of vehicle emissions changing over time on the road network has always been the bottleneck of air quality simulation. The dynamic traffic volume is one of the important parameters to estimate vehicle emission, which is difficult to obtain effectively. A novel estimation method of whole sample traffic volumes and emissions on the entire road net…
Modeling and Simulation of Crowd Pre-Evacuation Decision-Making in Complex Traffic Environments
Human movements in complex traffic environments have been successfully simulated by various models. It is crucial to improve crowd safety and urban resilience. However, few studies focus on reproducing human behavior and predicting escape reaction time in the initial judgement stage in complex traffic environments. In this paper, a pedestrian pre-evacuation decision-making model considering pedestrian heterogeneity is proposed for complex environ…
The main driving factors and responses to increase in soil available potassium in the Yangtze River basin over the past 30 years
Intensive crop rotation is one of the main causes of the continued depletion in soil potassium (K) content in the Yangtze River basin (YRB). However, recent studies have shown that soil K content is increasing in the YRB. Therefore, in this study, experimental and statistical data were collected to evaluate the soil K changes caused by K fertilizer application and straw return across the YRB. The results showed that soil available K increased, on…
Do the Securities Analysts Play the Role of Information Competition or Information Supplement? Empirical Analysis Based on Investor Sentiment
The purpose of this article is to investigate the role of securities analysts in Chinese stock market. Taking the earnings announcements of listed companies, analysts’ earnings forecast and analysts’ recommendations in Chinese stock markets from 2014 to 2018 as the samples, this paper explores the influence mechanism of investor sentiment on the market reaction to announcements, and investigates the influence mechanism of investor sentiment on th…
How does social learning facilitate urban disaster resilience? A systematic review
The influence of media consumption on public risk perception: A meta-analysis
Media is an important explanatory variable in the research on the social amplification of risk; the public often perceives risks in social life through media consumption such as by relying on, using, and trusting the media dialectically. Currently, researchers have not reached a consistent conclusion about the relationship between media consumption and public risk perception (PRP). This study uses meta-analysis to integrate empirical literature a…
Predicting the trajectories of emotional well‐being of Chinese community dwelling oldest old adults: Urban and rural differences
The paper explores the longitudinal changes of emotional well‐being of Chinese oldest old adults (80 years or older) and discloses significant factors that influence the trajectories, with a focus on the differences between those residing in rural and urban settings. Data were derived from three waves (1998, 2000, and 2002) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which was carried out in 22 of the 31 provinces in China. We u…
Fresh insights for sustainable development: Collaborative governance of carbon emissions based on social network analysis
Global climate change caused by carbon emissions has brought severe challenges to the sustainable development of global economy. In this context, this study constructs a weighted and directed carbon emission network for the European Union (EU). We use social network analysis to measure the indicators of the structural characteristics of the EU carbon emission network, and employ cluster analysis to investigate the role of countries in the carbon …
The influence of media consumption on public risk perception: A meta-analysis
Media is an important explanatory variable in the research on the social amplification of risk; the public often perceives risks in social life through media consumption such as by relying on, using, and trusting the media dialectically. Currently, researchers have not reached a consistent conclusion about the relationship between media consumption and public risk perception (PRP). This study uses meta-analysis to integrate empirical literature a…
Predicting the trajectories of emotional well‐being of Chinese community dwelling oldest old adults: Urban and rural differences
The paper explores the longitudinal changes of emotional well‐being of Chinese oldest old adults (80 years or older) and discloses significant factors that influence the trajectories, with a focus on the differences between those residing in rural and urban settings. Data were derived from three waves (1998, 2000, and 2002) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which was carried out in 22 of the 31 provinces in China. We u…
How does social learning facilitate urban disaster resilience? A systematic review
The influence of media consumption on public risk perception: A meta-analysis
Media is an important explanatory variable in the research on the social amplification of risk; the public often perceives risks in social life through media consumption such as by relying on, using, and trusting the media dialectically. Currently, researchers have not reached a consistent conclusion about the relationship between media consumption and public risk perception (PRP). This study uses meta-analysis to integrate empirical literature a…
The main driving factors and responses to increase in soil available potassium in the Yangtze River basin over the past 30 years
Intensive crop rotation is one of the main causes of the continued depletion in soil potassium (K) content in the Yangtze River basin (YRB). However, recent studies have shown that soil K content is increasing in the YRB. Therefore, in this study, experimental and statistical data were collected to evaluate the soil K changes caused by K fertilizer application and straw return across the YRB. The results showed that soil available K increased, on…
Do the Securities Analysts Play the Role of Information Competition or Information Supplement? Empirical Analysis Based on Investor Sentiment
The purpose of this article is to investigate the role of securities analysts in Chinese stock market. Taking the earnings announcements of listed companies, analysts’ earnings forecast and analysts’ recommendations in Chinese stock markets from 2014 to 2018 as the samples, this paper explores the influence mechanism of investor sentiment on the market reaction to announcements, and investigates the influence mechanism of investor sentiment on th…
Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study
Background As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing amount of deep learning-based researches in orthopedics. This bibliometric analysis aimed to identify the hotspots of deep learning applications in orthopedics in recent years and infer future research trends. Methods We screened global publication on deep learning applications in orthopedics by acc…
A Novel Environment Estimation Method of Whole Sample Traffic Flows and Emissions Based on Multifactor MFD
Vehicle emissions seriously affect the air environment and public health. The dynamic estimation method of vehicle emissions changing over time on the road network has always been the bottleneck of air quality simulation. The dynamic traffic volume is one of the important parameters to estimate vehicle emission, which is difficult to obtain effectively. A novel estimation method of whole sample traffic volumes and emissions on the entire road net…
Modeling and Simulation of Crowd Pre-Evacuation Decision-Making in Complex Traffic Environments
Human movements in complex traffic environments have been successfully simulated by various models. It is crucial to improve crowd safety and urban resilience. However, few studies focus on reproducing human behavior and predicting escape reaction time in the initial judgement stage in complex traffic environments. In this paper, a pedestrian pre-evacuation decision-making model considering pedestrian heterogeneity is proposed for complex environ…
Long-term exposure to particulate matter on cardiovascular and respiratory diseases in low- and middle-income countries: A systematic review and meta-analysis
Epidemiological analysis reveals a surge in inflammatory bowel disease among children and adolescents: A global, regional, and national perspective from 1990 to 2019 – insights from the China study
Background: The burden of inflammatory bowel disease (IBD) among children and adolescents is rising globally, with substantial variation in levels and trends of disease in different countries and regions, while data on the burden and trends were sparse in children and adolescents. We aimed to assess the trends and geographical differences in children and adolescents aged zero to 19 in 204 countries and territories over the past 30 years. Methods:…
The impacts of environmental regulation on regional green productivity growth in China: From the perspective of local-neighborhood effects
It is of great theoretical and practical implications for developing countries to achieve the win-win for economic growth and environmental performance.Extant studies focus on the local effect of environmental regulation, but ignore the neighborhood effect.This study tries to fill the gap from both the theoretical analysis and empirical test.We construct the theoretical framework of the localneighborhood effect of environmental regulation on regi…
Fresh insights for sustainable development: Collaborative governance of carbon emissions based on social network analysis
Global climate change caused by carbon emissions has brought severe challenges to the sustainable development of global economy. In this context, this study constructs a weighted and directed carbon emission network for the European Union (EU). We use social network analysis to measure the indicators of the structural characteristics of the EU carbon emission network, and employ cluster analysis to investigate the role of countries in the carbon …
Improving answer quality using image-text coherence on social Q&A sites
Biosecurity from non-native insects in Belt and Road countries: The role of donor–receiver patterns and human activity
The Belt and Road Initiative (BRI), as a green development initiative, highlights the importance of regional cooperation among participating countries to address the possibility of non-native organisms. We created a database of 8655 non-native insect records from 3059 non-native insect species of 312 families to better understand invasion vulnerability. Results showed that Coleoptera, Hemiptera, and Hymenoptera dominated, comprising 72.54% of all…
Depression and daytime dysfunction centralize the fatigue–sleep cascade in island firefighters: A symptom network and Bayesian DAG study
Depression (S4) and daytime dysfunction (P7) may serve as key nodes linking sleep and affective processes; fatigue may relate to psychological distress via sleep; and tenacity (C1) could play an upstream protective role. Sleep status and shift work may reorganize network structure without necessarily altering global connectivity. Targeted interventions may consider subjective sleep perception and psychological resilience in island-based firefight…
The antecedents of reading behavior in university libraries: A meta-analysis
Introduction Although university libraries have become important places for readers to improve their literacy, acquire knowledge, and conduct academic research, however, scholars still have limited understanding of the antecedents of reading behavior. Methods Drawing upon a comprehensive theoretical framework, we conducted a systematic review and meta-analysis to systematically summarize and outline the key determinants of current reading behavio…
Smoking, alcohol consumption, and psoriasis risk: A systematic review and dose-response meta-analysis of observational studies
Background: Smoking and alcohol consumption are modifiable behavioral exposures of public health relevance that may contribute to psoriasis risk, but the epidemiologic evidence remains inconsistent. Methods: We searched PubMed, Embase, Web of Science, and the Cochrane Library from inception to December 18, 2025, and included observational studies reporting adjusted associations between smoking or alcohol consumption and the risk of psoriasis. Ran…
The Antecedents of Organ Donation Intention and Behavior: A meta-Analysis
Despite rising demand for organ donation, global rates remain low. This systematic review and meta-analysis identified the key factors influencing organ donation intentions and behaviors. We established a theoretical framework outlining the key determinants of organ donation intent and behavior. The analysis included 85 studies (N = 310,476), our results identified 48 antecedents and compared their differences based on (1) demographics, (2) ratio…
Addressing “Political Anger” And “Non-Political Fear” In News Engagement: The Impact of Human-AI Interactions on Emotional and Behavioral Responses
The rise of AI technologies has transformed news consumption, yet little is known about the mechanism of how human-AI interactions influence audiences’ emotional reactions and civic behaviors. This study employed a 2 (China vs. U.S. AI chatbot) × 2 (cognitive vs. emotional language style) × 2 (political vs. nonpolitical news) factorial experimental design to address these questions. The results indicate that interacting with AI chatbots can mitig…
Computer Science (6 works) · Geography (5 works) · Medicine (5 works) · Psychology (5 works) · Social Psychology (4 works) · Artificial Intelligence (3 works) · Business (3 works) · China (3 works) · Economics (3 works) · Engineering (3 works)