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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:

Combining Dynamical and Statistical Modeling to Improve the Prediction of Surface Air Temperatures 2 Months in Advance: A Hybrid Approach
Pascal Oettli, Masami Nonaka, Ingo Richter, et al.
Frontiers in Climate (2022) Vol. 4
Open Access | Times Cited: 13

Showing 13 citing articles:

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques
Dušan Fister, Jorge Pérez‐Aracil, C. Peláez‐Rodríguez, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110118-110118
Open Access | Times Cited: 40
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez‐Aracil, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 30
Modeling forest above-ground biomass using freely available satellite and multisource datasets
Ai Hojo, Ram Avtar, Tatsuro Nakaji, et al.
Ecological Informatics (2023) Vol. 74, pp. 101973-101973
Closed Access | Times Cited: 20
Seasonal prediction of summer extreme precipitation frequencies over Southwest China based on machine learning
Yanbo Nie, Jianqi Sun, Jiehua Ma
Atmospheric Research (2023) Vol. 294, pp. 106947-106947
Closed Access | Times Cited: 11
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques
Antonio M. Gómez-Orellana, David Guijo-Rubio, Jorge Pérez‐Aracil, et al.
Atmospheric Research (2023) Vol. 284, pp. 106608-106608
Open Access | Times Cited: 10
Benchmarking Uninitialized CMIP6 Simulations for Inter-Annual Surface Wind Predictions
Joan Saladich Cubero, María Carmen Llasat, Raül Marcos-Matamoros
Atmosphere (2025) Vol. 16, Iss. 3, pp. 254-254
Open Access
Predicting indoor temperature distribution with low data dependency using recurrent neural networks
Jiahe Wang, Shohei Miyata, Keiichiro Taniguchi, et al.
Journal of Asian Architecture and Building Engineering (2025), pp. 1-14
Open Access
The Skill of RegCM-4 in Forecasting Iran's Precipitation: A Basin-Scale Intra-Seasonal to Seasonal Analysis
Mohammad Saeed Najafi, Omid Alizadeh
Research Square (Research Square) (2025)
Closed Access
A hybrid approach for generating daily 2m temperature of 1km spatial resolution over Iran
Ebrahim Asadi Oskouei, Morteza Pakdaman, Yashar Falamarzi, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 7109-7119
Closed Access | Times Cited: 1
Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China
Qiuying Fu, Zhenya Song, Zhongkai Bo, et al.
Dynamics of Atmospheres and Oceans (2023) Vol. 103, pp. 101391-101391
Closed Access | Times Cited: 1
Logistic curve modelling of sea surface temperature and latent heat flux variability in the Tropical Indian Ocean
Prerna Malik, Bhasha H. Vachharajani, Dency V. Panicker
Dynamics of Atmospheres and Oceans (2024) Vol. 107, pp. 101467-101467
Closed Access
Long-term temperature prediction with hybrid autoencoder algorithms
Jorge Pérez‐Aracil, Dušan Fister, Cosmin M. Marina, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100185-100185
Open Access
Air Temperature Forecasting Based on Stacking Machine Learning Model with Multi-Step Time Series
Mula'ab Mula'ab, Mohammad Syarief, Budi Dwi Satoto, et al.
(2023), pp. 1-4
Closed Access
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