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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:

On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Alireza Ghaemi, Mohammad Rezaie-Balf, Jan Adamowski, et al.
Agricultural and Forest Meteorology (2019) Vol. 278, pp. 107647-107647
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
A. T. M. Sakiur Rahman, Takahiro Hosono, John Quilty, et al.
Advances in Water Resources (2020) Vol. 141, pp. 103595-103595
Closed Access | Times Cited: 153
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
Rana Muhammad Adnan, Reham R. Mostafa, Hongliang Dai, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 63
Energy consumption and economic growth in Italy: A wavelet analysis
Cosimo Magazzino, Mihai Mutaşcu, Marco Mele, et al.
Energy Reports (2021) Vol. 7, pp. 1520-1528
Open Access | Times Cited: 82
A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction
Mosbeh R. Kaloop, Deepak Kumar, Fawzi Zarzoura, et al.
Ocean Engineering (2020) Vol. 213, pp. 107777-107777
Closed Access | Times Cited: 80
Forecasting of particulate matter with a hybrid ARIMA model based on wavelet transformation and seasonal adjustment
Erdinç Aladağ
Urban Climate (2021) Vol. 39, pp. 100930-100930
Closed Access | Times Cited: 60
An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach
Xiujie Wang, Yanpeng Wang, Pei-Xian Yuan, et al.
Hydrological Sciences Journal (2021) Vol. 66, Iss. 9, pp. 1488-1502
Closed Access | Times Cited: 59
On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective – A comprehensive assessment of data analysis techniques
Mehdi Jamei, Iman Ahmadianfar, Ismail Adewale Olumegbon, et al.
International Communications in Heat and Mass Transfer (2021) Vol. 123, pp. 105217-105217
Closed Access | Times Cited: 57
Estimating the Pan Evaporation in Northwest China by Coupling CatBoost with Bat Algorithm
Liming Dong, Wenzhi Zeng, Lifeng Wu, et al.
Water (2021) Vol. 13, Iss. 3, pp. 256-256
Open Access | Times Cited: 56
A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting
Mohammad Sina Jahangir, John You, John Quilty
Journal of Hydrology (2023) Vol. 619, pp. 129269-129269
Closed Access | Times Cited: 36
Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of neighboring reference station data
Sadra Shadkani, Sajjad Hashemi, Amirreza Pak, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1261-1280
Closed Access | Times Cited: 14
Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions
Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 2, pp. 719-747
Open Access | Times Cited: 12
A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs
Vinh Ngoc Tran, V. Y. Ivanov, Tien Giang Nguyen, et al.
Journal of Hydrology (2024) Vol. 629, pp. 130608-130608
Closed Access | Times Cited: 11
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khabat Khosravi, Aitazaz A. Farooque, Seyed Amir Naghibi, et al.
Ecological Informatics (2024) Vol. 85, pp. 102933-102933
Open Access | Times Cited: 9
Spatio-temporal characterization of rainfall in Bangladesh: an innovative trend and discrete wavelet transformation approaches
Jayanta Das, Tapash Mandal, A. T. M. Sakiur Rahman, et al.
Theoretical and Applied Climatology (2021) Vol. 143, Iss. 3-4, pp. 1557-1579
Closed Access | Times Cited: 55
Pan evaporation estimation and derivation of explicit optimized equations by novel hybrid meta-heuristic ANN based methods in different climates of Iran
Akram Seifi, Fatemeh Soroush
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105418-105418
Closed Access | Times Cited: 54
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia)
John Quilty, Jan Adamowski
Environmental Modelling & Software (2021) Vol. 144, pp. 105119-105119
Closed Access | Times Cited: 44
Probabilistic urban water demand forecasting using wavelet-based machine learning models
Mostafa Rezaali, John Quilty, Abdolreza Karimi
Journal of Hydrology (2021) Vol. 600, pp. 126358-126358
Closed Access | Times Cited: 43
Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test
Anurag Malik, Yazid Tikhamarine, Nadhir Al‐Ansari, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 1075-1094
Open Access | Times Cited: 40
An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework
Hossein Moayedi, Amir Mosavi
Energies (2021) Vol. 14, Iss. 4, pp. 1196-1196
Open Access | Times Cited: 38
Modeling the monthly pan evaporation rates using artificial intelligence methods: a case study in Iraq
Mustafa Al-Mukhtar
Environmental Earth Sciences (2021) Vol. 80, Iss. 1
Closed Access | Times Cited: 36
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
W. J. M. Lakmini Prarthana Jayasinghe, Ravinesh C. Deo, Afshin Ghahramani, et al.
Journal of Hydrology (2022) Vol. 607, pp. 127534-127534
Open Access | Times Cited: 27
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Yinsong Chen, Samson S. Yu, Shama Naz Islam, et al.
Energy Reports (2022) Vol. 8, pp. 8805-8820
Open Access | Times Cited: 27
Simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting
Jianhua Dong, Wenzhi Zeng, Guoqing Lei, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127452-127452
Closed Access | Times Cited: 24
Formulation of Wavelet Based Multi‐Scale Multi‐Objective Performance Evaluation (WMMPE) Metric for Improved Calibration of Hydrological Models
Velpuri Manikanta, Vamsi Krishna Vema
Water Resources Research (2022) Vol. 58, Iss. 7
Closed Access | Times Cited: 24
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Ahmed Elbeltagi, Mustafa Al-Mukhtar, Nand Lal Kushwaha, et al.
Applied Water Science (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 24
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