Hongyan Gu
Biographic Data
| ID | 3707867 |
|---|---|
| NAME | Hongyan Gu |
| GIVEN NAMES | Hongyan |
| FAMILY NAME | Gu |
| SIGNATURE | GU H |
| AFFILIATIONS | Shanghai Academy of Social Sciences |
| ORCID | 0000-0001-8962-9152 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 20 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Majority voting of doctors improves appropriateness of AI reliance in pathology
As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance might encounter challenges while being applied in the medical domain. With this regard, this work employs and provides the validation of an alternative approach – majority voting – to facilitate appropria…
Nimbyism in China
Drivers of Change in Socio-Ecological Production Landscapes
Gu, H., and S. M. Subramanian. 2014. Drivers of change in socio-ecological production landscapes: implications for better management. Ecology and Society 19(1): 41. https://doi.org/10.5751/ES-06283-190141
Strengthening the socio-ecological resilience of forest-dependent communities
Studies on the toxicity of gambogic acid in rats
Nimbyism in China
Drivers of Change in Socio-Ecological Production Landscapes
Gu, H., and S. M. Subramanian. 2014. Drivers of change in socio-ecological production landscapes: implications for better management. Ecology and Society 19(1): 41. https://doi.org/10.5751/ES-06283-190141
Strengthening the socio-ecological resilience of forest-dependent communities
Studies on the toxicity of gambogic acid in rats
Strengthening the socio-ecological resilience of forest-dependent communities
Drivers of Change in Socio-Ecological Production Landscapes
Gu, H., and S. M. Subramanian. 2014. Drivers of change in socio-ecological production landscapes: implications for better management. Ecology and Society 19(1): 41. https://doi.org/10.5751/ES-06283-190141
Nimbyism in China
Majority voting of doctors improves appropriateness of AI reliance in pathology
As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance might encounter challenges while being applied in the medical domain. With this regard, this work employs and provides the validation of an alternative approach – majority voting – to facilitate appropria…
Business (3 works) · Economics (3 works) · Environmental planning (3 works) · Geography (3 works) · China (2 works) · Economic growth (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Medicine (2 works) · Political science (2 works)