Fengying Yan
Biographic Data
| ID | 6275037 |
|---|---|
| NAME | Fengying Yan |
| GIVEN NAMES | Fengying |
| FAMILY NAME | Yan |
| SIGNATURE | YAN F |
| AFFILIATIONS | Tianjin University |
| ORCID | 0000-0003-4917-985X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Deciphering carbon emissions from commuting activities
Constrained carbon emissions from commuting activities (CCE) are one of the important issues under the backdrop of global climate change and urbanization. 593 relevant publications on CCE worldwide from 2000 to 2023 were retrieved, and the application of measurement methods and spatial constraint factors in regional, urban, and block scales was comprehensively analyzed. The study found that: (1) The related research reached its peak of 97 article…
Using a machine learning framework for natural language processing to create a high-resolution carbon emission map for urban manufacturing
Managing carbon emissions from the manufacturing sector is crucial for sustainable development, and effective identification of manufacturing land is key to achieving this goal. However, current methods for identifying urban manufacturing land remain inadequate. In this study, we employ a fine-tuned, pre-trained natural language processing model based on Bidirectional Encoder Representations from Transformers to classify points of interest data i…
A coupled STIRPAT-SD model method for land-use carbon emission prediction and scenario simulation at the county level
Towards low carbon cities
Towards low carbon cities
A coupled STIRPAT-SD model method for land-use carbon emission prediction and scenario simulation at the county level
Deciphering carbon emissions from commuting activities
Constrained carbon emissions from commuting activities (CCE) are one of the important issues under the backdrop of global climate change and urbanization. 593 relevant publications on CCE worldwide from 2000 to 2023 were retrieved, and the application of measurement methods and spatial constraint factors in regional, urban, and block scales was comprehensively analyzed. The study found that: (1) The related research reached its peak of 97 article…
Using a machine learning framework for natural language processing to create a high-resolution carbon emission map for urban manufacturing
Managing carbon emissions from the manufacturing sector is crucial for sustainable development, and effective identification of manufacturing land is key to achieving this goal. However, current methods for identifying urban manufacturing land remain inadequate. In this study, we employ a fine-tuned, pre-trained natural language processing model based on Bidirectional Encoder Representations from Transformers to classify points of interest data i…
Environmental Science (4 works) · Computer Science (3 works) · Engineering (3 works) · Greenhouse gas (3 works) · Vehicle emissions and performance (3 works) · Algorithm (2 works) · Carbon fibers (2 works) · Civil engineering (2 works) · Environmental Engineering (2 works) · Environmental Impact and Sustainability (2 works)