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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:

Prediction of the standardized precipitation index based on the long short-term memory and empirical mode decomposition-extreme learning machine models: The Case of Sakarya, Türkiye
Ömer Coşkun, Hatice Çıtakoğlu
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 131, pp. 103418-103418
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Assessment and prediction of meteorological drought using machine learning algorithms and climate data
Khalid En-nagre, Mourad Aqnouy, Ayoub Ouarka, et al.
Climate Risk Management (2024) Vol. 45, pp. 100630-100630
Open Access | Times Cited: 18
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting
Türker Tuğrul, Mehmet Ali Hınıs, Sertaç Oruç
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 2
Prediction of agricultural drought index in a hot and dry climate using advanced hybrid machine learning
Mohsen Rezaei, Mehdi Azhdary Moghaddam, Gholamreza Azizyan, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 5, pp. 102686-102686
Open Access | Times Cited: 9
Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin
Levent Latifoğlu, Savaş Bayram, Gaye Aktürk, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 9
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy
Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108609-108609
Closed Access | Times Cited: 7
Machine learning algorithms for the prediction of drought conditions in the Wami River sub-catchment, Tanzania
Christossy Lalika, Aziz Ul Haq Mujahid, Mturi James, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101794-101794
Open Access | Times Cited: 7
Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
Zixuan Chen, Guojie Wang, Xikun Wei, et al.
Atmosphere (2024) Vol. 15, Iss. 2, pp. 155-155
Open Access | Times Cited: 6
Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China
Jing Chen, H. Li, Manirankunda Felix, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14610-14640
Closed Access | Times Cited: 5
Evaluation of long-term meteorological drought in the Aras and Coruh Basins with Crossing Empirical Trend Analysis
Oğuz Şimşek, Ahmet Iyad Ceyhunlu, Gökmen Çeribaşı, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103611-103611
Closed Access | Times Cited: 5
Meteorological Drought Analysis and Regional Frequency Analysis in the Kızılırmak Basin: Creating a Framework for Sustainable Water Resources Management
Gaye Aktürk, Hatice Çıtakoğlu, Vahdettin Demir, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2124-2124
Open Access | Times Cited: 5
Spatio-temporal variation and impacting factors of NPP from 2001 to 2020 in Sanjiangyuan region, China: A deep neural network-based quantitative estimation approach
Pengfan Zhu, Gang Liu, Jing He
Ecological Informatics (2023) Vol. 78, pp. 102345-102345
Closed Access | Times Cited: 11
The effect of climate change on energy generated at hydroelectric power plants: A case of Sakarya river basin in Turkey
Hamza Pir, Gökmen Çeribaşı, Ahmet Iyad Ceyhunlu
Renewable Energy (2024) Vol. 223, pp. 120077-120077
Closed Access | Times Cited: 4
Analysing spatio-temporal drought characteristics and copula-based return period in Indian Gangetic Basin (1901–2021)
Debarati Bera, Dipanwita Dutta
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 15, pp. 22471-22493
Closed Access | Times Cited: 4
APPLICATION OF MACHINE LEARNING MODELS AND GSA METHOD FOR DESIGNING STUD CONNECTORS
Guorui Sun, Jiayuan Kang, Jun Shi
Journal of Civil Engineering and Management (2024) Vol. 30, Iss. 4, pp. 373-390
Open Access | Times Cited: 4
Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning
Hao Ji, Wenbin Jiao, Xie Xu, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04255-e04255
Open Access
Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms
Zeki Yılbaşı, Gökalp Çınarer, Nevfel Yunus Coşkun, et al.
International Journal of Green Energy (2025), pp. 1-27
Closed Access
Evolving drought dynamics in Barcelona: leveraging a Bayesian ensemble algorithm for insightful analysis and a bidirectional long short-term memory network for predictive modeling
Francesco Granata, Fabio Di Nunno
Stochastic Environmental Research and Risk Assessment (2025)
Open Access
Hybrid machine learning for drought prediction at multiple time scales: a case study of Ağrı station, Türkiye
Hatice Çıtakoğlu, Gaye Aktürk, Vahdettin Demir
Acta Geophysica (2025)
Closed Access
Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learning
Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102382-102382
Closed Access
Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China
Liwen Xing, Ningbo Cui, Li Guo, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108139-108139
Open Access | Times Cited: 9
Assessment of machine learning methods predicting the axial vibration frequencies of microbars
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2023) Vol. 104, Iss. 3
Closed Access | Times Cited: 9
Drought analysis based on SPI and RDI drought indices in the Burdur Basin
N. Göksü Soydan, Neslihan Beden
Turkish Journal of Engineering (2024) Vol. 8, Iss. 1, pp. 127-138
Open Access | Times Cited: 3
Recurrent neural networks and sensitivity analysis for accurate monthly evapotranspiration estimation in the region of Fez, Morocco
Nisrine Lachgar, Achraf Berrajaa, Moad Essabbar, et al.
World Water Policy (2024) Vol. 10, Iss. 3, pp. 730-754
Closed Access | Times Cited: 3
Predicting deep well pump performance with machine learning methods during hydraulic head changes
Nuri Orhan
Heliyon (2024) Vol. 10, Iss. 11, pp. e31505-e31505
Open Access | Times Cited: 3
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