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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:

Hydrological Drought Prediction Based on Hybrid Extreme Learning Machine: Wadi Mina Basin Case Study, Algeria
Mohammed Achite, Okan Mert Katipoğlu, Muhammad Jehanzaib, et al.
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1447-1447
Open Access | Times Cited: 15

Showing 15 citing articles:

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
A novel implementation of pre-processing approaches and hybrid kernel-based model for short- and long-term groundwater drought forecasting
Saman Shahnazi, Kiyoumars Roushangar, Seyed Hossein Hashemi
Journal of Hydrology (2025) Vol. 652, pp. 132667-132667
Closed Access | Times Cited: 2
Improvement of drought forecasting by means of various machine learning algorithms and wavelet transformation
Türker Tuğrul, Mehmet Ali Hınıs
Acta Geophysica (2024)
Open Access | Times Cited: 9
A novel metaheuristic optimization and soft computing techniques for improved hydrological drought forecasting
Okan Mert Katipoğlu, Neşe Ertugay, Nehal Elshaboury, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103646-103646
Closed Access | Times Cited: 6
Evaluation of meteorological drought effects on underground water level fluctuations using data mining methods (case study: semi-deep wells of Golestan province)
Ameneh Roshan, Khalil Ghorbani, Meysam Salarijazi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Closed Access | Times Cited: 4
Performance enhancement of models through discrete wavelet transform for streamflow forecasting in Çarşamba River, Türkiye
Türker Tuğrul, Mehmet Ali Hınıs
Journal of Water and Climate Change (2025)
Open Access
A Geographical Appraisal of Hydrological Drought—A Case Study
Samira Bayati, Akbar Norouzi-Shokrlu, Sara Mardanian, et al.
Springer geography (2025), pp. 29-50
Closed Access
Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting
Ömer Ekmekcioğlu
Water (2023) Vol. 15, Iss. 19, pp. 3413-3413
Open Access | Times Cited: 9
Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management
Hamed Talebi, Saeed Samadianfard
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4949-4968
Closed Access | Times Cited: 3
Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway
Sertaç Oruç, Türker Tuğrul, Mehmet Ali Hınıs
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7813-7813
Open Access | Times Cited: 3
Forecasting of meteorological drought using ensemble and machine learning models
Chaitanya Baliram Pande, Lariyah Mohd Sidek, Abhay M. Varade, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 3
Prediction of Groundwater Drought Based on Hydro-Meteorological Insights via Machine Learning Approaches
Veysi Kartal, Okan Mert Katipoğlu, Erkan Karakoyun, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 136, pp. 103757-103757
Closed Access | Times Cited: 2
Water vapor content prediction based on neural network model selection and optimal fusion
Xinyu Zhang, Yunjun Zhou, Wenyu Zhang, et al.
Journal of Computational Science (2024) Vol. 79, pp. 102310-102310
Closed Access | Times Cited: 1
Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Prediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting
Sertaç Oruç, Mehmet Ali Hınıs, Türker Tuğrul
Water (2024) Vol. 16, Iss. 23, pp. 3465-3465
Open Access | Times Cited: 1
Predicting hydrological droughts using ERA 5 reanalysis data and wavelet-based soft computing techniques
Okan Mert Katipoğlu
Environmental Earth Sciences (2023) Vol. 82, Iss. 24
Closed Access | Times Cited: 2
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