Shengzhi Huang
Biographic Data
| ID | 6819312 |
|---|---|
| NAME | Shengzhi Huang |
| GIVEN NAMES | Shengzhi |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG S |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0001-7592-5268 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Disclosing the competitive-cooperative mechanism driving topic evolution from the perspective of topic function analysis
Utilizing large model for content-based identification of disruptive and developmental research
A framework for demonstrating, forecasting, and explaining topic evolution by analyzing geometrical motion of topic embeddings
Topic analysis aims to study topic evolution and trends in order to help researchers understand the process of knowledge evolution and creation. This paper develops a novel topic evolution analysis framework, which we use to demonstrate, forecast, and explain topic evolution from the perspective of the geometrical motion of topic embeddings generated by pretrained language models. Our data set comprises approximately 15 million papers in the comp…
Exploration and exploitation
This study quantifies and analyzes the individual-level abilities of scientists utilizing either an exploration or an exploitation strategy. Specifically, we present a Research Strategy Q model, which untangles the coupling effect of scientists’ research ability (Qα) and research strategy ability (Eαπ) on research performance. Qα indicates scientists’ fundamental ability to publish high-quality papers, while Eαπ indicates scientists’ proficiency …
A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis
Correlation analysis is the common method to evaluate the relationship between two variables; however, it may sometimes cause spurious correlations. Specifically, in the field of hydrometeorology, with the impacts of climate change and human activities, correlation analysis is difficult to identify the true relationship between variables, and thus, causality analysis should be adopted instead. This study analyzed the causal relationship between m…
Understanding knowledge role transitions
Informal knowledge constantly transitions into formal domain knowledge in the dynamic knowledge base. This article focuses on an integrative understanding of the knowledge role transition from the perspective of knowledge codification. The transition process is characterized by several dynamics involving a variety of bibliometric entities, such as authors, keywords, institutions, and venues. We thereby designed a series of temporal and cumulative…
Variations in precipitation and runoff from a multivariate perspective in the Wei River Basin, China
Impact of climate change and human activities on runoff in the Weihe River Basin, China
No prominent works on this page.
Impact of climate change and human activities on runoff in the Weihe River Basin, China
Variations in precipitation and runoff from a multivariate perspective in the Wei River Basin, China
Understanding knowledge role transitions
Informal knowledge constantly transitions into formal domain knowledge in the dynamic knowledge base. This article focuses on an integrative understanding of the knowledge role transition from the perspective of knowledge codification. The transition process is characterized by several dynamics involving a variety of bibliometric entities, such as authors, keywords, institutions, and venues. We thereby designed a series of temporal and cumulative…
A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis
Correlation analysis is the common method to evaluate the relationship between two variables; however, it may sometimes cause spurious correlations. Specifically, in the field of hydrometeorology, with the impacts of climate change and human activities, correlation analysis is difficult to identify the true relationship between variables, and thus, causality analysis should be adopted instead. This study analyzed the causal relationship between m…
A framework for demonstrating, forecasting, and explaining topic evolution by analyzing geometrical motion of topic embeddings
Topic analysis aims to study topic evolution and trends in order to help researchers understand the process of knowledge evolution and creation. This paper develops a novel topic evolution analysis framework, which we use to demonstrate, forecast, and explain topic evolution from the perspective of the geometrical motion of topic embeddings generated by pretrained language models. Our data set comprises approximately 15 million papers in the comp…
Exploration and exploitation
This study quantifies and analyzes the individual-level abilities of scientists utilizing either an exploration or an exploitation strategy. Specifically, we present a Research Strategy Q model, which untangles the coupling effect of scientists’ research ability (Qα) and research strategy ability (Eαπ) on research performance. Qα indicates scientists’ fundamental ability to publish high-quality papers, while Eαπ indicates scientists’ proficiency …
Disclosing the competitive-cooperative mechanism driving topic evolution from the perspective of topic function analysis
Utilizing large model for content-based identification of disruptive and developmental research
Computer Science (3 works) · Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Hydrology and Watershed Management Studies (3 works) · Meteorology (3 works) · Precipitation (3 works) · scientometrics and bibliometrics research (3 works) · Artificial Intelligence (2 works) · Climate variability and models (2 works)