12 citations as recorded by crossref.

1. Probabilistic Forecasting of El Niño Using Neural Network Models P. Petersik & H. Dijkstra 10.1029/2019GL086423
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4. The Application of Machine Learning Techniques to Improve El Niño Prediction Skill H. Dijkstra et al. 10.3389/fphy.2019.00153
5. Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa O. Adisa et al. 10.3390/su12166516
6. Challenges and design choices for global weather and climate models based on machine learning P. Dueben & P. Bauer 10.5194/gmd-11-3999-2018
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8. Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier J. Meng et al. 10.1073/pnas.1917007117
9. El Niño forecasting based on the global atmospheric oscillation I. Serykh & D. Sonechkin 10.1002/joc.6488
10. A machine learning based prediction system for the Indian Ocean Dipole J. Ratnam et al. 10.1038/s41598-019-57162-8
11. Temporal Convolutional Networks for the Advance Prediction of ENSO J. Yan et al. 10.1038/s41598-020-65070-5
12. Machine Learning Models for the Seasonal Forecast of Winter Surface Air Temperature in North America Q. Qian et al. 10.1029/2020EA001140