Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
#3PRI RANKED
Most Cited Paper
in Air Quality and Health Impacts
18 Months Post-Publication
Class of 2026
“Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China”
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Topics
PM2.5 concentration · Deep learning model · CNN-GRU-LSTM · Convolutional neural network (CNN) · Gated recurrent unit (GRU) · Long short-term memory (LSTM) · artificial neural network (ANN) · ambient air pollution forecasting · monthly time series prediction · Dezhou City · correlation coefficient (R) · Root mean square error (RMSE) · hybrid deep learning architecture · air quality prediction · model performance comparison
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026. https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459