Yunpeng Li
Biographic Data
| ID | 3749238 |
|---|---|
| NAME | Yunpeng Li |
| GIVEN NAMES | Yunpeng |
| FAMILY NAME | Li |
| SIGNATURE | LI Y |
| AFFILIATIONS | Capital University of Economics and Business |
| ORCID | 0009-0003-6213-9905 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 38 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A multivariable explanation of emergency response time for highway crash incidents
Emergency Response Time (ERT), defined as the time interval from the occurrence of a traffic accident to the arrival of Emergency Medical Services (EMS) at the accident location, is a fundamental factor that affects survival outcomes and the severity of injuries. It is indeed a daunting task to skillfully map and explain different ERT scenarios, given that the cause factors are complicated, nonlinear, and heavily intertwined. Prior research has a…
Association between the body roundness index and all-cause mortality in patients with metabolic dysfunction- associated steatotic liver disease
Background The body roundness index (BRI) is a novel anthropometric measure derived from waist circumference and height that reflects abdominal adiposity. Previous studies have demonstrated that BRI has predictive value for all-cause mortality in the general population and in individuals with metabolic dysfunction–associated steatotic liver disease (MASLD) in the United States. However, the association between BRI and all-cause mortality in patie…
Post-pandemic tourism forecasting with ensemble RNN
Tourism forecasting plays a critical role in the tourism industry, enabling strategic planning for diverse stakeholders. However, it is a challenging task influenced by numerous factors. This study investigates the development of automated, data-driven approaches, by introducing an ensemble model that combines two forecasting methods of recurrent neural networks. It integrates COVID-19-related explanatory variables and automatically learns the sp…
Top management team media exposure and corporate ESG performance
This study begins with the central role of enhancing corporate Environmental, Social, and Governance (ESG) performance in sustainable development strategies. It focuses on the interaction mechanism between media exposure of top management team (TMT) and corporate ESG performance. This study aims to examine how TMT media exposure (TME) impacts corporate ESG performance and to reveal the regulatory role of TMT power (TMTP) and TMT social network (T…
"Comment on "Deleuze, Lucretius and Simulacra
Commented article: ESTAY, T. F. Deleuze, Lucretius and Simulacra: a naturalist image of thought. Trans/Form/Ação: Unesp journal of philosophy, Marília, SP, v. 48, n. 02, p. e025025, 2025. Available at: https://revistas.marilia.unesp.br/index.php/transformacao/article/view/16669. Submission: 09/9/2025 – Decision: 14/9/2025 - Revision: 19/9/2025 – Publication: 30/9/2025
A deep learning model based on multi-source data for daily tourist volume forecasting
Demand forecasting is important for management and decision making in the tourism sector. However, research on deep learning forecasting, which combines multiple data sources, is still in the development phase. This study proposes a bidirectional long short-term memory (BiLSTM) forecasting method incorporating an attention mechanism (ATT-BiLSTM) that can better extract data features from a set of predictor variables consisting of multiple predict…
The variability of competitive performance and pacing strategies in different rounds of the 400 m and 800 m freestyle swimming races at the 2017–2024 World Swimming Championships
Introduction This study aims to analyze the competitive performance and pacing strategies (PS) of medalists and non-medalists in different rounds of the 400 m and 800 m freestyle at the World Swimming Championships. Method The 2017–2024 World Swimming Championships and 161 elite swimmers were selected. First, intra-athlete coefficients of variability (CVs) were evaluated using linear mixed effects modeling and changes in competitive performance (…
Inheritance and Development of Chinese Ancient Poetry Song Culture
In traditional Chinese culture, ancient poetry played a crucial role. With the development of the times, the combination of traditional Chinese culture and Western culture has led to the birth of Chinese Ancient Poetry Song Culture. In order to better inheritance of Chinese Culture, the historical traces of the development of Chinese Ancient Poetry Song through the survey of historical materials are summarized in this article. Even then the chara…
Analysis of network public opinion on Covid-19 epidemic based on the WSR theory
Objective: To obtain the influencing factors of public opinion reactions and to construct a basic framework of the factors causing the occurrence of online public opinion in the epidemic area. Methods: The hot news comments on microblogs during the epidemic in Shanghai were collected and analyzed with qualitative analysis, grounded theory, and the "Wuli-Shili-Renli" (WSR) methodology as an auxiliary method. Results: (1) Three core categories of t…
Keep it real
Inaccurate promotional information about tourist destinations may result in tourists' negative evaluations. This study proposes a new approach to measure the congruence between projected and received images of a destination's attractions. Based on online textual data, this study investigates how image congruence influences tourists' evaluations of their destination experiences. Using promotional messages and reviews of attractions in Hainan, Chin…
A Web-Based Prognostic Model for Pediatric Genitourinary Rhabdomyosarcoma
Background We conduct an analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database, intending to identify prognostic factors of pediatric genitourinary rhabdomyosarcoma (PGU–RMS). Prognostic nomogram and web-based calculator were developed for potential clinical use. Methods Data of PGU–RMS patients were extracted from the SEER database as training and internal validation cohort, patients diagnosed as PGU–RMS from 2001…
Tourism demand forecasting from the perspective of mobility
Few studies have investigated tourism demand forecasting from a mobility perspective. We explore whether population mobility data improve the ability to forecast tourist volumes in scenic spots. We selected Jiuzhaigou and Mount Siguniang in China as study cases and ensured the robustness of the results using single- and multistep rolling evaluation techniques. The findings reveal a significant correlation, long-term cointegration, and two-way Gra…
Uncovering crowdsourcing in tourism apps
The Technical History of China's Grand Canal
Based on the past 30-years' research on the technical and cultural values of China's Grand Canal, this book, based on interdisciplinary research, studies the natural and social background of the evolution and development of different sections of the Grand Canal in different historical periods, as well as the interrelations between the Grand Canal and the Chinese politics, economics, and culture. It also assesses the effects of the Grand Canal on …
Aristolochia Bracteolate Retz. Attenuates Hyperuricemia in a Metabolic Arthritis Rat Model
Background: The leaves of Aristolochia bracteolata Retz. has been documented in the folk medicine literature for its anti-arthritic activity. The target of the research envisaged was to elucidate the activity of A. bracteolata extract on hyperuricemic condition in arthritis rat model. Materials and Methods: Dried and powdered plant leaves were extracted using ether and chloroform. Potassium oxonate was injected intra-articularly to produce arthri…
The concept of smart tourism in the context of tourism information services
China's “smart tourism destination” initiative
The concept of smart tourism in the context of tourism information services
Keep it real
Inaccurate promotional information about tourist destinations may result in tourists' negative evaluations. This study proposes a new approach to measure the congruence between projected and received images of a destination's attractions. Based on online textual data, this study investigates how image congruence influences tourists' evaluations of their destination experiences. Using promotional messages and reviews of attractions in Hainan, Chin…
Tourism demand forecasting from the perspective of mobility
Few studies have investigated tourism demand forecasting from a mobility perspective. We explore whether population mobility data improve the ability to forecast tourist volumes in scenic spots. We selected Jiuzhaigou and Mount Siguniang in China as study cases and ensured the robustness of the results using single- and multistep rolling evaluation techniques. The findings reveal a significant correlation, long-term cointegration, and two-way Gra…
The Technical History of China's Grand Canal
Based on the past 30-years' research on the technical and cultural values of China's Grand Canal, this book, based on interdisciplinary research, studies the natural and social background of the evolution and development of different sections of the Grand Canal in different historical periods, as well as the interrelations between the Grand Canal and the Chinese politics, economics, and culture. It also assesses the effects of the Grand Canal on …
Uncovering crowdsourcing in tourism apps
The variability of competitive performance and pacing strategies in different rounds of the 400 m and 800 m freestyle swimming races at the 2017–2024 World Swimming Championships
Introduction This study aims to analyze the competitive performance and pacing strategies (PS) of medalists and non-medalists in different rounds of the 400 m and 800 m freestyle at the World Swimming Championships. Method The 2017–2024 World Swimming Championships and 161 elite swimmers were selected. First, intra-athlete coefficients of variability (CVs) were evaluated using linear mixed effects modeling and changes in competitive performance (…
China's “smart tourism destination” initiative
Aristolochia Bracteolate Retz. Attenuates Hyperuricemia in a Metabolic Arthritis Rat Model
Background: The leaves of Aristolochia bracteolata Retz. has been documented in the folk medicine literature for its anti-arthritic activity. The target of the research envisaged was to elucidate the activity of A. bracteolata extract on hyperuricemic condition in arthritis rat model. Materials and Methods: Dried and powdered plant leaves were extracted using ether and chloroform. Potassium oxonate was injected intra-articularly to produce arthri…
The concept of smart tourism in the context of tourism information services
The Technical History of China's Grand Canal
Based on the past 30-years' research on the technical and cultural values of China's Grand Canal, this book, based on interdisciplinary research, studies the natural and social background of the evolution and development of different sections of the Grand Canal in different historical periods, as well as the interrelations between the Grand Canal and the Chinese politics, economics, and culture. It also assesses the effects of the Grand Canal on …
Uncovering crowdsourcing in tourism apps
A Web-Based Prognostic Model for Pediatric Genitourinary Rhabdomyosarcoma
Background We conduct an analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database, intending to identify prognostic factors of pediatric genitourinary rhabdomyosarcoma (PGU–RMS). Prognostic nomogram and web-based calculator were developed for potential clinical use. Methods Data of PGU–RMS patients were extracted from the SEER database as training and internal validation cohort, patients diagnosed as PGU–RMS from 2001…
Tourism demand forecasting from the perspective of mobility
Few studies have investigated tourism demand forecasting from a mobility perspective. We explore whether population mobility data improve the ability to forecast tourist volumes in scenic spots. We selected Jiuzhaigou and Mount Siguniang in China as study cases and ensured the robustness of the results using single- and multistep rolling evaluation techniques. The findings reveal a significant correlation, long-term cointegration, and two-way Gra…
Analysis of network public opinion on Covid-19 epidemic based on the WSR theory
Objective: To obtain the influencing factors of public opinion reactions and to construct a basic framework of the factors causing the occurrence of online public opinion in the epidemic area. Methods: The hot news comments on microblogs during the epidemic in Shanghai were collected and analyzed with qualitative analysis, grounded theory, and the "Wuli-Shili-Renli" (WSR) methodology as an auxiliary method. Results: (1) Three core categories of t…
Keep it real
Inaccurate promotional information about tourist destinations may result in tourists' negative evaluations. This study proposes a new approach to measure the congruence between projected and received images of a destination's attractions. Based on online textual data, this study investigates how image congruence influences tourists' evaluations of their destination experiences. Using promotional messages and reviews of attractions in Hainan, Chin…
A deep learning model based on multi-source data for daily tourist volume forecasting
Demand forecasting is important for management and decision making in the tourism sector. However, research on deep learning forecasting, which combines multiple data sources, is still in the development phase. This study proposes a bidirectional long short-term memory (BiLSTM) forecasting method incorporating an attention mechanism (ATT-BiLSTM) that can better extract data features from a set of predictor variables consisting of multiple predict…
The variability of competitive performance and pacing strategies in different rounds of the 400 m and 800 m freestyle swimming races at the 2017–2024 World Swimming Championships
Introduction This study aims to analyze the competitive performance and pacing strategies (PS) of medalists and non-medalists in different rounds of the 400 m and 800 m freestyle at the World Swimming Championships. Method The 2017–2024 World Swimming Championships and 161 elite swimmers were selected. First, intra-athlete coefficients of variability (CVs) were evaluated using linear mixed effects modeling and changes in competitive performance (…
Inheritance and Development of Chinese Ancient Poetry Song Culture
In traditional Chinese culture, ancient poetry played a crucial role. With the development of the times, the combination of traditional Chinese culture and Western culture has led to the birth of Chinese Ancient Poetry Song Culture. In order to better inheritance of Chinese Culture, the historical traces of the development of Chinese Ancient Poetry Song through the survey of historical materials are summarized in this article. Even then the chara…
Top management team media exposure and corporate ESG performance
This study begins with the central role of enhancing corporate Environmental, Social, and Governance (ESG) performance in sustainable development strategies. It focuses on the interaction mechanism between media exposure of top management team (TMT) and corporate ESG performance. This study aims to examine how TMT media exposure (TME) impacts corporate ESG performance and to reveal the regulatory role of TMT power (TMTP) and TMT social network (T…
"Comment on "Deleuze, Lucretius and Simulacra
Commented article: ESTAY, T. F. Deleuze, Lucretius and Simulacra: a naturalist image of thought. Trans/Form/Ação: Unesp journal of philosophy, Marília, SP, v. 48, n. 02, p. e025025, 2025. Available at: https://revistas.marilia.unesp.br/index.php/transformacao/article/view/16669. Submission: 09/9/2025 – Decision: 14/9/2025 - Revision: 19/9/2025 – Publication: 30/9/2025
A multivariable explanation of emergency response time for highway crash incidents
Emergency Response Time (ERT), defined as the time interval from the occurrence of a traffic accident to the arrival of Emergency Medical Services (EMS) at the accident location, is a fundamental factor that affects survival outcomes and the severity of injuries. It is indeed a daunting task to skillfully map and explain different ERT scenarios, given that the cause factors are complicated, nonlinear, and heavily intertwined. Prior research has a…
Association between the body roundness index and all-cause mortality in patients with metabolic dysfunction- associated steatotic liver disease
Background The body roundness index (BRI) is a novel anthropometric measure derived from waist circumference and height that reflects abdominal adiposity. Previous studies have demonstrated that BRI has predictive value for all-cause mortality in the general population and in individuals with metabolic dysfunction–associated steatotic liver disease (MASLD) in the United States. However, the association between BRI and all-cause mortality in patie…
Post-pandemic tourism forecasting with ensemble RNN
Tourism forecasting plays a critical role in the tourism industry, enabling strategic planning for diverse stakeholders. However, it is a challenging task influenced by numerous factors. This study investigates the development of automated, data-driven approaches, by introducing an ensemble model that combines two forecasting methods of recurrent neural networks. It integrates COVID-19-related explanatory variables and automatically learns the sp…
Tourism (7 works) · Business (5 works) · China (5 works) · Digital Marketing and Social Media (5 works) · Diverse Aspects of Tourism Research (5 works) · Computer Science (4 works) · Geography (4 works) · Marketing (4 works) · Political science (4 works) · Data science (3 works)