12 citations as recorded by crossref.

1. AI-driven approaches for air pollution modelling: A comprehensive systematic review L. Garbagna et al.
2. Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review S. Chadalavada et al.
3. A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter L. Fang et al.
4. Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values F. Huber & V. Steinhage
5. Entropy-based feature selection for capturing impacts in Earth system models with abrupt forcing J. Watkins et al.
6. Integrating Machine Learning with Causal Inference to Improve Prediction of Ammonium Wet Deposition in the Pearl River Delta R. Lin et al.
7. Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al.
8. Enhancing PM$$_{2.5}$$ Air Pollution Forecasting with Novel Random Imputation Based on Hybrid RNN-Bidirectional GRU (nRI RNN-BiGRU) Model N. Ahmad & V. Kumar
9. New data-driven estimation of metal element in rocks using a hyperspectral data and geochemical data X. Ma et al.
10. Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas C. Rosca et al.
11. Machine learning-enabled estimation and high-resolution forecasting of atmospheric VOCs B. Lu et al.
12. Feature Ranking on Small Samples: A Bayes-Based Approach A. Vatian et al.