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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:

Advanced Machine Learning Model for Prediction of Drought Indices using Hybrid SVR-RSM
Jamshid Piri, Mohammad Abdolahipour, Behrooz Keshtegar
Water Resources Management (2022) Vol. 37, Iss. 2, pp. 683-712
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
Babak Mohammadi
Hydrology (2023) Vol. 10, Iss. 3, pp. 58-58
Open Access | Times Cited: 50
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez-Aracíl, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 26
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: 8
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: 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
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: 7
Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum–Cunge Model
R. Ahmadi, Jamshid Piri, Hadi Galavi, et al.
Water (2025) Vol. 17, Iss. 1, pp. 104-104
Open Access
Comparative Study of Different Discrete Wavelet Based Neural Network Models for long term Drought Forecasting
Salim Djerbouai, Doudja Souag-Gamane, Ahmed Ferhati, et al.
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1401-1420
Closed Access | Times Cited: 14
Direct and indirect simulating and projecting hydrological drought using a supervised machine learning method
Mohammad Reza Eini, Farzaneh Najminejad, Mikołaj Piniewski
The Science of The Total Environment (2023) Vol. 898, pp. 165523-165523
Closed Access | Times Cited: 14
Spatiotemporal Drought Assessment Based on Gridded Standardized Precipitation Index (SPI) in Vulnerable Agroecosystems
Stavros Sakellariou, Marios Spiliotopoulos, Nikolaos Alpanakis, et al.
Sustainability (2024) Vol. 16, Iss. 3, pp. 1240-1240
Open Access | Times Cited: 4
Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning
Mohd Imran Khan, Rajib Maity
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1497-1509
Closed Access | Times Cited: 4
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: 4
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
Development of a new hybrid model to enhance streamflow estimation using artificial neural network and reptile search algorithm
M. Bahmani, Zahra Kayhomayoon, Sami Ghordoyee Milan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Green Synthesis of N,N′-(1,2-phenylene)bis(phthalimide-5-carboxilic acid) and the prediction of its properties: Standard enthalpies of formation and sublimation
F. Martinón Sánchez, Miguel Ángel García-Castro, Maura Cárdenas-García, et al.
(2025)
Closed Access
Optimization of water hammer protection against sudden pump stoppage using machine learning models and intelligent algorithms
Hongyan Li, Yu Zhang, Jianguo Cui, et al.
Journal of Hydraulic Research (2025), pp. 1-13
Closed Access
Evolution of drought characteristics using a new combined joint multivariate index based on the copula function
Narjes Shahbeygi, Bahareh Pirzadeh, Jamshid Piri
Natural Hazards (2025)
Closed Access
Interpretability of compound drought-hot extreme index prediction model: a regional study in Iran
Mahnoosh Moghaddasi, Kimia Naderi, Mansour Moradi, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Development of Machine Learning and Deep Learning Prediction Models for PM2.5 in Ho Chi Minh City, Vietnam
Phuc Hieu Nguyen, Đào Nguyên Khôi, Ly Sy Phu Nguyen
Atmosphere (2024) Vol. 15, Iss. 10, pp. 1163-1163
Open 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
Decomposed-coordinated framework with intelligent extremum network for operational reliability analysis of complex system
Jiaqi Liu, Yunwen Feng, Cheng Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109752-109752
Closed Access | Times Cited: 7
A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
Cambridge Prisms Water (2024) Vol. 2
Open Access | Times Cited: 2
Multi-objective optimization of regional power generation mix considering both carbon cap-and-trade mechanisms and renewable portfolio standards
Yong He, Zhaoai Zeng, Nuo Liao
Renewable Energy (2024) Vol. 231, pp. 120937-120937
Closed Access | Times Cited: 2
Hybrid machine learning approach integrating GMDH and SVR for heavy metal concentration prediction in dust samples
Jamshid Piri, Mohammad Reza Rezaei Kahkha, Özgür Kişi
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 2
Prediction of reinforced concrete walls shear strength based on soft computing-based techniques
Alireza Tabrizikahou, Gordana Pavić, Younes Shahsavani, et al.
Soft Computing (2023) Vol. 28, Iss. 15-16, pp. 8731-8747
Open Access | Times Cited: 5
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