11 citations as recorded by crossref.

1. Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research S. Hickman et al.
2. The Capability of Deep Learning Model to Predict Ozone Across Continents in China, the United States and Europe W. Han et al.
3. Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0 J. Li et al.
4. Opinion: Challenges and needs of tropospheric chemical mechanism development B. Ervens et al.
5. Guaranteed Mass-Conserving Deep Learning Model for Stiff Kinetics in Atmospheric Chemistry H. Feng et al.
6. Trends in the seasonal amplitude of atmospheric methane G. Liu et al.
7. An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor (KPP) Version 3.0.0 H. Lin et al.
8. Implementation of a parallel reduction algorithm in the GENerator of reduced Organic Aerosol mechanisms (GENOA v2.0): Application to multiple monoterpene aerosol precursors Z. Wang et al.
9. Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) R. Martin et al.
10. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al.
11. Data driven analysis on changing patterns of reactive nitrogen deposition in East and Southeast Asia J. Tan et al.