Junhui Wang
Biographic Data
| ID | 5978234 |
|---|---|
| NAME | Junhui Wang |
| GIVEN NAMES | Junhui |
| FAMILY NAME | Wang |
| SIGNATURE | WANG J |
| AFFILIATIONS | Pai Chai University |
| ORCID | 0000-0001-6849-5896 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Leaf morphology-δ13C synergy in drought response and G×E interactions in Toona sinensis
Toona sinensis is prized for its superior wood quality, ranking among the most important timber species. However, its growth and development has been severely constrained by persistent drought stress, which has become more frequent due to global climate change. Therefore, elucidating its drought response mechanisms and breeding high-yield, drought-resistant varieties are crucial for mitigating plantation productivity losses caused by global clima…
Moment-integrated Bias-adjusted Spectral Method for Community Detection in Multi-layer Networks
To detect the global community structure of multi-layer networks, individual layers might not provide sufficient information. It is of vital importance to effectively complement the information from the network data. In this paper, under the framework of multi-layer stochastic block model, a Spectral method with Moments integration and Bias Adjustment (SpecMBA) is proposed for community detection. The key distinguishing feature of SpecMBA is the …
A Study on Chinese and English Transfer in French Writing of L3 French Language Beginners
In order to investigate the language transfer existing in the field of third language acquisition, and to provide effective strategies of learning two or more languages, this research, based on theories related to the third language acquisition and error analysis, collected 32 French compositions written by English majors’ undergraduates as a corpus, analyzed errors in those compositions, and further discussed the negative transfer of Chinese and…
Covariate-Assisted Community Detection in Multi-Layer Networks
Communities in multi-layer networks consist of nodes with similar connectivity patterns across all layers. This article proposes a tensor-based community detection method in multi-layer networks, which leverages available node-wise covariates to improve community detection accuracy. This is motivated by the network homophily principle, which suggests that nodes with similar covariates tend to reside in the same community. To take advantage of the…
Effects of Restorative Environment and Presence on Anxiety and Depression Based on Interactive Virtual Reality Scenarios
Anxiety and depression have been growing global mental health problems. The following studies explored the effect of interactive VR scenarios to find a low-cost and high-efficiency solution. Study 1 designed a 2 (anxiety and depression state) × 4 (interactive VR scenarios) experiment, the results of 20 participants showed that the designed scenarios had good restoration and presence, assisting to improve depression mood for people with mild to mo…
The impact of the Middle East Respiratory Syndrome coronavirus on inbound tourism in South Korea toward sustainable tourism
Despite the declaration of the end of the Middle East Respiratory Syndrome coronavirus (MERS) outbreak in December 2015 in South Korea that the epidemic lasted for 2 months, the depressed domestic economy and tourism sector did not immediately restore. Thus, it is important to explore how much of an impact the disease had and how long the damage lasted. Using quantitative time-series models, the present study explored the influence of MERS on inb…
Korean Domestic Tourists’ Decision-Making Process under Threat of Covid-19
The purpose of this study is to build a theoretical framework to explain Korean domestic tourists' decision-making process under COVID-19 by applying an extended model of goal-directed behavior. The role of positive expectation of COVID-19, the effect of mass media, and perception of government policy were considered as new variables in the process of tourism decision-making. The results of this present study show that positive and negative antic…
Family migration and educational outcomes of migrant children in China
The Effect of Smog-Related Factors on Korean Domestic Tourists’ Decision-Making Process
The present study aims to explore Korean domestic tourists' decision-making processes by utilizing an extended model of goal-directed behavior (EMGB) as a theoretical framework. Integrating government policy (PLY) and protection motivation for smog (PMS) with the original model of goal-directed behavior (MGB) makes it easier to better understand the formation process of tourists' behavioral intentions for domestic travel. Structural equation mode…
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Family migration and educational outcomes of migrant children in China
The Effect of Smog-Related Factors on Korean Domestic Tourists’ Decision-Making Process
The present study aims to explore Korean domestic tourists' decision-making processes by utilizing an extended model of goal-directed behavior (EMGB) as a theoretical framework. Integrating government policy (PLY) and protection motivation for smog (PMS) with the original model of goal-directed behavior (MGB) makes it easier to better understand the formation process of tourists' behavioral intentions for domestic travel. Structural equation mode…
The impact of the Middle East Respiratory Syndrome coronavirus on inbound tourism in South Korea toward sustainable tourism
Despite the declaration of the end of the Middle East Respiratory Syndrome coronavirus (MERS) outbreak in December 2015 in South Korea that the epidemic lasted for 2 months, the depressed domestic economy and tourism sector did not immediately restore. Thus, it is important to explore how much of an impact the disease had and how long the damage lasted. Using quantitative time-series models, the present study explored the influence of MERS on inb…
Korean Domestic Tourists’ Decision-Making Process under Threat of Covid-19
The purpose of this study is to build a theoretical framework to explain Korean domestic tourists' decision-making process under COVID-19 by applying an extended model of goal-directed behavior. The role of positive expectation of COVID-19, the effect of mass media, and perception of government policy were considered as new variables in the process of tourism decision-making. The results of this present study show that positive and negative antic…
Effects of Restorative Environment and Presence on Anxiety and Depression Based on Interactive Virtual Reality Scenarios
Anxiety and depression have been growing global mental health problems. The following studies explored the effect of interactive VR scenarios to find a low-cost and high-efficiency solution. Study 1 designed a 2 (anxiety and depression state) × 4 (interactive VR scenarios) experiment, the results of 20 participants showed that the designed scenarios had good restoration and presence, assisting to improve depression mood for people with mild to mo…
A Study on Chinese and English Transfer in French Writing of L3 French Language Beginners
In order to investigate the language transfer existing in the field of third language acquisition, and to provide effective strategies of learning two or more languages, this research, based on theories related to the third language acquisition and error analysis, collected 32 French compositions written by English majors’ undergraduates as a corpus, analyzed errors in those compositions, and further discussed the negative transfer of Chinese and…
Covariate-Assisted Community Detection in Multi-Layer Networks
Communities in multi-layer networks consist of nodes with similar connectivity patterns across all layers. This article proposes a tensor-based community detection method in multi-layer networks, which leverages available node-wise covariates to improve community detection accuracy. This is motivated by the network homophily principle, which suggests that nodes with similar covariates tend to reside in the same community. To take advantage of the…
Leaf morphology-δ13C synergy in drought response and G×E interactions in Toona sinensis
Toona sinensis is prized for its superior wood quality, ranking among the most important timber species. However, its growth and development has been severely constrained by persistent drought stress, which has become more frequent due to global climate change. Therefore, elucidating its drought response mechanisms and breeding high-yield, drought-resistant varieties are crucial for mitigating plantation productivity losses caused by global clima…
Moment-integrated Bias-adjusted Spectral Method for Community Detection in Multi-layer Networks
To detect the global community structure of multi-layer networks, individual layers might not provide sufficient information. It is of vital importance to effectively complement the information from the network data. In this paper, under the framework of multi-layer stochastic block model, a Spectral method with Moments integration and Bias Adjustment (SpecMBA) is proposed for community detection. The key distinguishing feature of SpecMBA is the …
Computer Science (4 works) · Psychology (4 works) · Economics (3 works) · Medicine (3 works) · Political science (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Complex Network Analysis Techniques (2 works) · Diverse Aspects of Tourism Research (2 works) · Domestic tourism (2 works)