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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:

A new deep learning method for meteorological drought estimation based-on standard precipitation evapotranspiration index
Sercan Yalçın, Musa Eşit, Önder Çoban
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106550-106550
Closed Access | Times Cited: 19

Showing 19 citing articles:

A hybrid time series and physics-informed machine learning framework to predict soil water content
Amirsalar Bagheri, Andres Patrignani, Behzad Ghanbarian, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110105-110105
Closed Access | Times Cited: 1
Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108253-108253
Closed Access | Times Cited: 16
Agricultural drought assessment in dry zones of Tolima, Colombia, using an approach based on water balance and vegetation water stress
Jorge Armando Hernández-López, Hernán J. Andrade, Miguel Barrios
The Science of The Total Environment (2024) Vol. 921, pp. 171144-171144
Closed Access | Times Cited: 6
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 6
A novel stabilized artificial neural network model enhanced by variational mode decomposing
Ali Danandeh Mehr, Sadra Shadkani, Laith Abualigah, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34142-e34142
Open Access | Times Cited: 5
Better with fewer features: climate dynamics estimation for Van Lake basin using feature selection
Önder Çoban, Musa Eşit, Sercan Yalçın, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Investigation of the meteorological and hydrological drought characteristics in yeşilirmak basin, Türkiye
Mehmet İshak Yüce, Ali AYTEK, Musa Eşit, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 4
Closed Access
S-Transformer: a new deep learning model enhanced by sequential transformer encoders for drought forecasting
Ali Danandeh Mehr, Amir Aminzadeh Ghavifekr, Elman Ghazaei, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting
Masoud Reihanifar, Ali Danandeh Mehr, Rıfat Tür, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3602-3602
Open Access | Times Cited: 12
Improving high uncertainty of evapotranspiration products under extreme climatic conditions based on deep learning and ERA5 reanalysis data
Long Qian, Xingjiao Yu, Lifeng Wu, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131755-131755
Closed Access | Times Cited: 4
Enhancing drought monitoring and prediction in diverse climates by using composite drought indices
Saeed Sharafi, Mehdi Mohammadi Ghaleni
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 7
LSTM Model Integrated Remote Sensing Data for Drought Prediction: A Study on Climate Change Impacts on Water Availability in the Arid Region
Haitham Abdulmohsin Afan, Atheer Saleem Almawla, Basheer Al-Hadeethi, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2799-2799
Open Access | Times Cited: 2
Optimizing river flow rate predictions: integrating cognitive approaches and meteorological insights
Veysi Kartal, Erkan Karakoyun, Muhammed Ernur Akıner, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye
Önder Çoban, Musa Eşit, Sercan Yalçın
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 989-1021
Closed Access | Times Cited: 4
Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximum overlap discrete wavelet transform
Shabbir Ahmed Osmani, Changhyun Jun, Jongjin Baik, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124962-124962
Closed Access | Times Cited: 1
Modeling the effect of meteorological variables on streamflow estimation: application of data mining techniques in mixed rainfall–snowmelt regime Munzur River, Türkiye
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96312-96328
Closed Access | Times Cited: 3
Hydrological Drought Prediction and its Influencing Factors Analysis Based on Machine Learning Model
Li Min, Yuhang Yao, zilong Feng
(2024)
Closed Access
Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China
Xinzhi Wang, Qingxia Lin, Zhiyong Wu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109265-109265
Open Access
Agricultural Drought Assessment Using a Water Balance Approach Based on Vegetation Water Stress in Dry Zones of Tolima, Colombia
Jorge Armando Hernández-López, Hernán J. Andrade, Miguel Barrios
(2023)
Closed Access
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