Gongquan Zhang
Biographic Data
| ID | 8072698 |
|---|---|
| NAME | Gongquan Zhang |
| GIVEN NAMES | Gongquan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG G |
| AFFILIATIONS | Harvard University |
| ORCID | 0009-0001-7269-5329 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Student's acceptance of artificial intelligence eBooks using LCA and SEM: A case study of medical book in China
The proliferation of eBooks has significantly impacted traditional paper books. With the development of emerging technologies like artificial intelligence (AI), AI eBooks have an even greater impact on traditional paper books, influencing aspects such as reading and learning methods, the dissemination of textual content, and book design, especially in education. To explore the students' acceptance of AI eBooks, this study utilizes a latent class …
Impact of digitization and artificial intelligence on carbon emissions considering variable interaction and heterogeneity: An interpretable deep learning modeling framework
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
No prominent works on this page.
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
Student's acceptance of artificial intelligence eBooks using LCA and SEM: A case study of medical book in China
The proliferation of eBooks has significantly impacted traditional paper books. With the development of emerging technologies like artificial intelligence (AI), AI eBooks have an even greater impact on traditional paper books, influencing aspects such as reading and learning methods, the dissemination of textual content, and book design, especially in education. To explore the students' acceptance of AI eBooks, this study utilizes a latent class …
Impact of digitization and artificial intelligence on carbon emissions considering variable interaction and heterogeneity: An interpretable deep learning modeling framework
Air Quality Monitoring and Forecasting (2 works) · Artificial Intelligence (2 works) · China (2 works) · Computer Science (2 works) · Energy, Environment, Economic Growth (2 works) · Machine learning (2 works) · AI in Service Interactions (1 works) · Algorithm (1 works) · Carbon fibers (1 works) · Computer vision (1 works)