# Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China

*PRI Rank #3 · Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 120 |
| Journal | Atmosphere |
| Year | 2024 |
| DOI | 10.3390/atmos15121432 |
| Corresponding authors | Qingchun Guo |
| Institution | Liaocheng University, China |

**Ranking page:** [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)

**Paper link:** [10.3390/atmos15121432](https://doi.org/10.3390/atmos15121432)

## 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

## Cite this ranking

```
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 2026-10-28.

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
```