Wenyan Wang
Biographic Data
| ID | 7292799 |
|---|---|
| NAME | Wenyan Wang |
| GIVEN NAMES | Wenyan |
| FAMILY NAME | Wang |
| SIGNATURE | WANG W |
| AFFILIATIONS | , |
| ORCID | 0000-0001-5188-7789 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multi‐Source Rainfall Erosivity Fusion Based on Machine Learning Models
High‐accuracy rainfall erosivity (RE) data are essential for understanding soil erosion processes. However, considerable differences exist among various precipitation datasets in terms of RE estimation. This study aimed to develop a machine learning‐based framework for multisource RE fusion to increase the accuracy and spatial consistency of RE estimation. To achieve this goal, RE data derived from station observations were used as a benchmark to…
Integrating of serum pharmacochemistry, metabolomics, and experimental validation to explore the mechanism of Erzhi Pill against Triple-negative breast cancer
Skillful seasonal prediction of the 2022–23 mega soil drought over the Yangtze River basin by combining dynamical climate prediction and copula analysis
An unprecedented soil moisture drought broke out over the Yangtze River basin (YRB) in the summer of 2022 and lasted until the spring of 2023, caused great economic losses and serious environmental issues. With the rapid onset and long-lasting duration, the mega soil drought challenges the current seasonal prediction capacity. Whether the state-of-the-art climate models provide skillful predictions of the onset, persistence and recovery of the 20…
Paper acceptance prediction at the institutional level based on the combination of individual and network features
Undergraduate students’ motivation and engagement in China
Viewing student engagement as a multidimensional construct, this study explored the motivation and engagement of undergraduate students in China. A sample of 1131 students from 10 full-time universities in Beijing participated in a survey. The results showed that the Motivation and Engagement Scale for university/college students is a promising and valid instrument for assessing student engagement in Chinese universities. Chinese undergraduates s…
Unmasking the teaching quality of higher education
The quality of teaching in higher education is a topic which has generated heated debate in China, though there has been a remarkable paucity of empirical research into the characteristics of teaching and learning in Chinese universities. This study examined Chinese university students' course experience and its influence on their approaches to learning. A sample of 2529 students from 15 full-time regular universities responded to the questionnai…
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Unmasking the teaching quality of higher education
The quality of teaching in higher education is a topic which has generated heated debate in China, though there has been a remarkable paucity of empirical research into the characteristics of teaching and learning in Chinese universities. This study examined Chinese university students' course experience and its influence on their approaches to learning. A sample of 2529 students from 15 full-time regular universities responded to the questionnai…
Undergraduate students’ motivation and engagement in China
Viewing student engagement as a multidimensional construct, this study explored the motivation and engagement of undergraduate students in China. A sample of 1131 students from 10 full-time universities in Beijing participated in a survey. The results showed that the Motivation and Engagement Scale for university/college students is a promising and valid instrument for assessing student engagement in Chinese universities. Chinese undergraduates s…
Paper acceptance prediction at the institutional level based on the combination of individual and network features
Skillful seasonal prediction of the 2022–23 mega soil drought over the Yangtze River basin by combining dynamical climate prediction and copula analysis
An unprecedented soil moisture drought broke out over the Yangtze River basin (YRB) in the summer of 2022 and lasted until the spring of 2023, caused great economic losses and serious environmental issues. With the rapid onset and long-lasting duration, the mega soil drought challenges the current seasonal prediction capacity. Whether the state-of-the-art climate models provide skillful predictions of the onset, persistence and recovery of the 20…
Integrating of serum pharmacochemistry, metabolomics, and experimental validation to explore the mechanism of Erzhi Pill against Triple-negative breast cancer
Multi‐Source Rainfall Erosivity Fusion Based on Machine Learning Models
High‐accuracy rainfall erosivity (RE) data are essential for understanding soil erosion processes. However, considerable differences exist among various precipitation datasets in terms of RE estimation. This study aimed to develop a machine learning‐based framework for multisource RE fusion to increase the accuracy and spatial consistency of RE estimation. To achieve this goal, RE data derived from station observations were used as a benchmark to…
China (3 works) · Evaluation of Teaching Practices (2 works) · Mathematics (2 works) · Mathematics education (2 works) · Medicine (2 works) · Online and Blended Learning (2 works) · Pedagogy (2 works) · Political science (2 works) · Psychology (2 works) · Artificial Intelligence (1 work)