Prediction of the COVID-19 epidemic trends based on SEIR and AI models
2021 · PLoS ONE · 64 citations
https://doi.org/10.1371/journal.pone.0245101
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Zhongke Feng
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Zhongke Feng is an academic researcher from Chinese Center For Disease Control and Prevention. The author has contributed to research in topics: Remote Sensing and Land Use & Remote Sensing and LiDAR Applications & Forest ecology and management. The author has an h-index of 26, co-authored 214 publications.
ORCID: 0000-0002-1444-7976Papers by this author
worksRelationship between the geographical environment and the forest carbon sink capacity in China based on an individual-tree growth-rate model
2022 · Ecological Indicators · 39 citations
https://doi.org/10.1016/j.ecolind.2022.108814
Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models
2020 · medRxiv · 10 citations
https://doi.org/10.1101/2020.04.21.20074138
Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
2025 · Ecological Informatics · 10 citations
https://doi.org/10.1016/j.ecoinf.2025.103045
Carbon emission of urban vehicles based on carbon emission factor correlation analysis
2025 · Scientific Reports · 8 citations
https://doi.org/10.1038/s41598-025-86119-3
A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery
2025 · International Journal of Applied Earth Observation and Geoinformation · 4 citations
https://doi.org/10.1016/j.jag.2025.104449
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