Yizhi Liu
Biographic Data
| ID | 6033324 |
|---|---|
| NAME | Yizhi Liu |
| GIVEN NAMES | Yizhi |
| FAMILY NAME | Liu |
| SIGNATURE | LIU Y |
| AFFILIATIONS | Hunan University of Science and Technology |
| ORCID | 0000-0001-8636-6895 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Navigating trust dynamics in online health communities
The cornerstone of doctor-patient interaction rests upon mutual trust. However, patients often encounter challenges in promptly selecting the most suitable doctor within the extensive information landscape of online health communities, primarily stemming from difficulties in establishing trust. While previous studies have delved into factors influencing patient choice, few have approached this issue from a trust-centric perspective. Thus, this st…
Primacy Effect or Recency Effect? The Interplay of Travel Duration and Hedonic Trends in Multi-Destination Tourism
This study delves into the under-explored dynamics of Primacy and Recency effects in multi-destination tourism, utilizing data from online travelogs. Focusing on attraction sequences (hedonic trends) and travel duration, our analysis reveals key relationships between travel duration and tourists’ emotional experiences. We found that longer travel durations lead to a Recency effect, where later parts of the journey significantly impact overall exp…
Association between air pollution and emergency department visits for unintentional injuries in four cities of Shandong Province, China
Objective To study the relationship between emergency department visits for unintentional injuries and air pollutants in four cities in Shandong Province, China (2019–2022). Methods From 2019 to 2022, the data on air pollutants and unintentional injury emergency department visits were extracted from four cities in Shandong Province (Dezhou, Jinan, Zibo, and Heze). We used the dynamic factor model (DFM) to determine the trend of emergency visits a…
Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction methods have problems with feature extraction and fusion from multi-type data and multi-level interactions between features. To overcome these limitations, we propose a deep learning approach that ta…
Analysis and Forecast of Traffic Flow between Urban Functional Areas Based on Ride-Hailing Trajectories
Urban planning and function layout have important implications for the journeys of a large percentage of commuters, which often make up the majority of daily traffic in many cities. Therefore, the analysis and forecast of traffic flow among urban functional areas are of great significance for detecting urban traffic flow directions and traffic congestion causes, as well as helping commuters plan routes in advance. Existing methods based on ride-h…
Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data
Road intersections are essential to road networks. How to precisely recognize road intersections based on GPS data is still challenging in intelligent transportation systems. Road intersection recognition involves detecting intersections and recognizing its scope. There are few works on intersections’ scope recognition. The existing methods always focus on road intersection detection. It includes two parts: one is selecting turning points from GP…
The Association of High-Frequency Nut Intake With a Low Risk of Psychological Problems in Female Methamphetamine Users
In the female methamphetamine population, increasing the frequency of nut intake may reduce the risk of psychological problems for female methamphetamine users
Impact Assessing of Traffic Lights via GPS Vehicle Trajectories
The adaptability of traffic lights in the control of vehicle traffic heavily affects the trafficability of vehicles and the travel efficiency of traffic participants in busy urban areas. Existing studies mainly have focused on the presence of traffic lights, but rarely evaluate the impact of traffic lights by analyzing traffic data, thus there is no solution for practicably and precisely self-regulating traffic lights. To address these issues, we…
Impact Measurement of Covid-19 Lockdown on China’s Electricity-Carbon Nexus
Lockdown measures to prevent the spread of coronavirus disease 2019 (COVID-19) resulted in the plummeting of China's overall electric-power demand and production. To date, power generation remains one of the largest carbon dioxide (CO 2 ) emitting sectors of China on account of its high carbon intensity. Within this context, our study seeks to measure the impacts of COVID-19 lockdown on the electricity-power related carbon footprints on both gene…
Influence of Heat Waves on Daily Hospital Visits for Mental Illness in Jinan, China—A Case-Crossover Study
Background: Given that more frequent and intensive extreme heat events have been projected based on climate change modeling, it is of significance to have a better understanding of the association between heat waves and mental illnesses. This study aimed to explore the effects of heat waves on daily hospital visits for mental illness in the summer of 2010 in Jinan, China. Methods: A symmetric bidirectional case-crossover study was firstly conduct…
Primacy Effect or Recency Effect? The Interplay of Travel Duration and Hedonic Trends in Multi-Destination Tourism
This study delves into the under-explored dynamics of Primacy and Recency effects in multi-destination tourism, utilizing data from online travelogs. Focusing on attraction sequences (hedonic trends) and travel duration, our analysis reveals key relationships between travel duration and tourists’ emotional experiences. We found that longer travel durations lead to a Recency effect, where later parts of the journey significantly impact overall exp…
Influence of Heat Waves on Daily Hospital Visits for Mental Illness in Jinan, China—A Case-Crossover Study
Background: Given that more frequent and intensive extreme heat events have been projected based on climate change modeling, it is of significance to have a better understanding of the association between heat waves and mental illnesses. This study aimed to explore the effects of heat waves on daily hospital visits for mental illness in the summer of 2010 in Jinan, China. Methods: A symmetric bidirectional case-crossover study was firstly conduct…
Impact Assessing of Traffic Lights via GPS Vehicle Trajectories
The adaptability of traffic lights in the control of vehicle traffic heavily affects the trafficability of vehicles and the travel efficiency of traffic participants in busy urban areas. Existing studies mainly have focused on the presence of traffic lights, but rarely evaluate the impact of traffic lights by analyzing traffic data, thus there is no solution for practicably and precisely self-regulating traffic lights. To address these issues, we…
Impact Measurement of Covid-19 Lockdown on China’s Electricity-Carbon Nexus
Lockdown measures to prevent the spread of coronavirus disease 2019 (COVID-19) resulted in the plummeting of China's overall electric-power demand and production. To date, power generation remains one of the largest carbon dioxide (CO 2 ) emitting sectors of China on account of its high carbon intensity. Within this context, our study seeks to measure the impacts of COVID-19 lockdown on the electricity-power related carbon footprints on both gene…
Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data
Road intersections are essential to road networks. How to precisely recognize road intersections based on GPS data is still challenging in intelligent transportation systems. Road intersection recognition involves detecting intersections and recognizing its scope. There are few works on intersections’ scope recognition. The existing methods always focus on road intersection detection. It includes two parts: one is selecting turning points from GP…
The Association of High-Frequency Nut Intake With a Low Risk of Psychological Problems in Female Methamphetamine Users
In the female methamphetamine population, increasing the frequency of nut intake may reduce the risk of psychological problems for female methamphetamine users
Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction methods have problems with feature extraction and fusion from multi-type data and multi-level interactions between features. To overcome these limitations, we propose a deep learning approach that ta…
Analysis and Forecast of Traffic Flow between Urban Functional Areas Based on Ride-Hailing Trajectories
Urban planning and function layout have important implications for the journeys of a large percentage of commuters, which often make up the majority of daily traffic in many cities. Therefore, the analysis and forecast of traffic flow among urban functional areas are of great significance for detecting urban traffic flow directions and traffic congestion causes, as well as helping commuters plan routes in advance. Existing methods based on ride-h…
Association between air pollution and emergency department visits for unintentional injuries in four cities of Shandong Province, China
Objective To study the relationship between emergency department visits for unintentional injuries and air pollutants in four cities in Shandong Province, China (2019–2022). Methods From 2019 to 2022, the data on air pollutants and unintentional injury emergency department visits were extracted from four cities in Shandong Province (Dezhou, Jinan, Zibo, and Heze). We used the dynamic factor model (DFM) to determine the trend of emergency visits a…
Navigating trust dynamics in online health communities
The cornerstone of doctor-patient interaction rests upon mutual trust. However, patients often encounter challenges in promptly selecting the most suitable doctor within the extensive information landscape of online health communities, primarily stemming from difficulties in establishing trust. While previous studies have delved into factors influencing patient choice, few have approached this issue from a trust-centric perspective. Thus, this st…
Primacy Effect or Recency Effect? The Interplay of Travel Duration and Hedonic Trends in Multi-Destination Tourism
This study delves into the under-explored dynamics of Primacy and Recency effects in multi-destination tourism, utilizing data from online travelogs. Focusing on attraction sequences (hedonic trends) and travel duration, our analysis reveals key relationships between travel duration and tourists’ emotional experiences. We found that longer travel durations lead to a Recency effect, where later parts of the journey significantly impact overall exp…
Computer Science (5 works) · Engineering (4 works) · Geography (4 works) · Artificial Intelligence (3 works) · Automated Road and Building Extraction (3 works) · China (3 works) · Medicine (3 works) · Data mining (2 works) · Demography (2 works) · Demography (2 works)