Jincheng Shi
Biographic Data
| ID | 7997131 |
|---|---|
| NAME | Jincheng Shi |
| GIVEN NAMES | Jincheng |
| FAMILY NAME | Shi |
| SIGNATURE | SHI J |
| AFFILIATIONS | China University of Mining and Technology |
| ORCID | 0000-0001-6928-1064 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Toward open-source foundation model ecosystem
Open-source foundation models cultivate complex innovation ecosystems that render traditional, project-centric evaluation frameworks inadequate. To address this gap, our study develops and validates a three-level framework for assessing ecosystem-level impact and identifying its enhancement mechanisms. Grounded in technology diffusion theory, we conduct a mixed-methods analysis of 14 leading models, using data from Hugging Face, GitHub, and X (fo…
Spatially and temporally coherent reconstruction of tropospheric NO 2 over China combining OMI and Gome-2B measurements
Tropospheric NO 2 columns retrieved from ozone monitoring instrument (OMI) are widely used, even though there is a significant loss of spatial coverage due to multiple factors. This work introduces a framework for reconstructing gaps in the OMI NO 2 data over China by using machine learning and an adaptive weighted temporal fitting method with NO 2 measurements from Global Ozone Monitoring Experiment–2B, and surface measurements. The reconstructe…
No prominent works on this page.
Spatially and temporally coherent reconstruction of tropospheric NO 2 over China combining OMI and Gome-2B measurements
Tropospheric NO 2 columns retrieved from ozone monitoring instrument (OMI) are widely used, even though there is a significant loss of spatial coverage due to multiple factors. This work introduces a framework for reconstructing gaps in the OMI NO 2 data over China by using machine learning and an adaptive weighted temporal fitting method with NO 2 measurements from Global Ozone Monitoring Experiment–2B, and surface measurements. The reconstructe…
Toward open-source foundation model ecosystem
Open-source foundation models cultivate complex innovation ecosystems that render traditional, project-centric evaluation frameworks inadequate. To address this gap, our study develops and validates a three-level framework for assessing ecosystem-level impact and identifying its enhancement mechanisms. Grounded in technology diffusion theory, we conduct a mixed-methods analysis of 14 leading models, using data from Hugging Face, GitHub, and X (fo…
Computer Science (2 works) · Environmental Science (2 works) · Absorption (acoustics (1 work) · Atmospheric and Environmental Gas Dynamics (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric Ozone and Climate (1 work) · Atmospheric sciences (1 work) · Business (1 work) · Climatology (1 work) · Coherence (philosophical gambling strategy (1 work)