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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

ENSO analysis and prediction using deep learning: A review
Gai‐Ge Wang, Honglei Cheng, Yiming Zhang, et al.
Neurocomputing (2022) Vol. 520, pp. 216-229
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment?
Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131040-131040
Closed Access | Times Cited: 28
Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 26
Deep learning with autoencoders and LSTM for ENSO forecasting
Chibuike Chiedozie Ibebuchi, Michael B. Richman
Climate Dynamics (2024) Vol. 62, Iss. 6, pp. 5683-5697
Open Access | Times Cited: 10
ENSO-Former: spatiotemporal fusion network based on multivariate and dual-branch transformer for ENSO prediction
Wei Fang, Yu Sha
Climate Dynamics (2025) Vol. 63, Iss. 2
Closed Access | Times Cited: 1
Short-Term Prediction of Global Sea Surface Temperature Using Deep Learning Networks
Tianliang Xu, Zhiquan Zhou, Yingchun Li, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1352-1352
Open Access | Times Cited: 14
Multimodal Deep Learning for Two-Year ENSO Forecast
Mohammad Naisipour, Iraj Saeedpanah, Arash Adib
Water Resources Management (2025)
Closed Access
A low-dimensional recursive deep learning model for El Niño-Southern Oscillation simulation
Jaepil Ko, Na-Yeon Shin, Jonghun Kam, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access
A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability
Ioana Colfescu, Hannah M. Christensen, David John Gagne
Geophysical Research Letters (2024) Vol. 51, Iss. 13
Open Access | Times Cited: 3
Comparison of machine learning models in forecasting different ENSO types
Chibuike Chiedozie Ibebuchi, Seth Rainey, Omon A. Obarein, et al.
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 086007-086007
Open Access | Times Cited: 3
Predictive diagnosis of El Niño based on empirical sea level anomaly forecasts
Małgorzata Świerczyńska‐Chlaściak, Tomasz Niedzielski, Bartłomiej Miziński
Acta Geodaetica et Geophysica (2025)
Open Access
Quantification and Prediction of the Impact of ENSO on Rainfed Rice Yields in Thailand
Usa Humphries Wannasingha, Muhammad Waqas, Shakeel Ahmad, et al.
Environmental Challenges (2025), pp. 101123-101123
Open Access
Time Series Forecasting Techniques for Climate Trend Prediction
Rufai Yusuf Zakari, Zaharaddeen Karami Lawal, Kassim Kalinaki, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 282-310
Closed Access | Times Cited: 2
Analysis and Prediction of Rainfall with Oceanic Nino Index and Climate Variables Using Correlation Coefficient and Deep Learning
Chayanat Buathongkhue, Kritsana Sureeya, Natapon Kaewthong
Civil Engineering Journal (2024) Vol. 10, Iss. 5, pp. 1354-1369
Open Access | Times Cited: 2
How well do climate modes explain precipitation variability?
Sanaa Hobeichi, Gab Abramowitz, Alex Sen Gupta, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean
Haibin Han, Bohui Jiang, Delong Xiang, et al.
Ecological Indicators (2024) Vol. 158, pp. 111526-111526
Open Access | Times Cited: 1
ENSO dataset & comparison of deep learning models for ENSO forecasting
Shabana Mir, Arbab Masood Ahmad, Sadaqat Ur Rehman
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 2623-2628
Open Access | Times Cited: 1
Harnessing evolutionary algorithms for enhanced characterization of ENSO events
Ulviya Abdulkarimova, Rodrigo Abarca-del-Río, Pierre Collet
Genetic Programming and Evolvable Machines (2024) Vol. 26, Iss. 1
Closed Access | Times Cited: 1
ENSO Influence on Agricultural Drought Identified by SPEI Assessment in the Peruvian Tropical Andes, Mantaro Valley
Del Piero Raphael Arana Ruedas, Nabilt Moggiano
Manglar (2023) Vol. 20, Iss. 2, pp. 157-167
Open Access | Times Cited: 2
Multimodal ENSO Forecast
Mohammad Naisipour, Iraj Saeedpanah, Arash Adib
Research Square (Research Square) (2024)
Open Access
Temporal and Spatial Variations in Rainfall Erosivity on Hainan Island and the Influence of the El Niño/Southern Oscillation
Xudong Lü, Jiadong Chen, Jianchao Guo, et al.
Land (2024) Vol. 13, Iss. 8, pp. 1210-1210
Open Access
Forecasting the El Niño southern oscillation: physics, bias correction and combined models
Gordon Reikard
Meteorology and Atmospheric Physics (2024) Vol. 136, Iss. 5
Closed Access
Comprehensive study of heavy precipitation events over land using climate network analysis
Kaiwen Li, Ming Wang, Kai Liu, et al.
Journal of Hydrology (2024), pp. 132582-132582
Closed Access
How well do climate modes explain precipitationvariability?
Sanaa Hobeichi, Gab Abramowitz, Alex Sen Gupta, et al.
Research Square (Research Square) (2024)
Open Access
Unpacking the black box of deep learning for identifying El Niño-Southern oscillation
Yu Sun, Yusupjan Habibulla, Gaoke Hu, et al.
Communications in Theoretical Physics (2023) Vol. 75, Iss. 9, pp. 095601-095601
Closed Access
Modeling El Niño and La Niña Events Using Evolutionary Algorithms
Ulviya Abdulkarimova, Rodrigo Abarca-del-Río
Lecture notes in computer science (2023), pp. 205-217
Closed Access
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