Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
Mohammed Abdallah, Babak Mohammadi, Modathir Zaroug, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101259-101259
Open Access | Times Cited: 26

Showing 1-25 of 26 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: 49
Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study
Hussam Eldin Elzain, Osman Abdalla, Mohammed Abdallah, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120246-120246
Closed Access | Times Cited: 16
A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area
Ali El Bilali, Abdessamad Hadri, Abdeslam Taleb, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110106-110106
Closed Access | Times Cited: 1
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Pooja Goyal, Sunil Kumar, Rakesh Sharda
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107836-107836
Closed Access | Times Cited: 35
Double-layer home energy management strategy for increasing PV self-consumption and cost reduction through appliances scheduling, EV, and storage
Modawy Adam Ali Abdalla, Min Wang, Bing Wang, et al.
Energy Reports (2023) Vol. 10, pp. 3494-3518
Open Access | Times Cited: 22
Optimization of computational intelligence approach for the prediction of glutinous rice dehydration
Kabiru Ayobami Jimoh, Norhashila Hashim, Rosnah Shamsudin, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 10, pp. 6208-6220
Closed Access | Times Cited: 8
A novel regenerative braking energy recuperation system for electric vehicles based on driving style
Chengqun Qiu, Xinshan Wan, Na Wang, et al.
Energy (2023) Vol. 283, pp. 129055-129055
Closed Access | Times Cited: 17
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access
The projected futures of water resources vulnerability under climate and socioeconomic change in the Yangtze River Basin, China
Xiu Zhang, Yuqing Tian, Na Dong, et al.
Ecological Indicators (2023) Vol. 147, pp. 109933-109933
Open Access | Times Cited: 13
Exploring the Applicability of Regression Models and Artificial Neural Networks for Calculating Reference Evapotranspiration in Arid Regions
Mohamed K. Abdel-Fattah, Sameh Kotb Abd‐Elmabod, Zhenhua Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15494-15494
Open Access | Times Cited: 11
High performance machine learning approach for reference evapotranspiration estimation
Mohammed S. Aly, Saad M. Darwish, A. Aly
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 2, pp. 689-713
Open Access | Times Cited: 10
Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models
Saeed Sharafi, Mehdi Mohammadi Ghaleni
Applied Water Science (2024) Vol. 14, Iss. 7
Open Access | Times Cited: 3
Wear Prediction of Functionally Graded Composites Using Machine Learning
Reham Fathi, Minghe Chen, Mohammed Abdallah, et al.
Materials (2024) Vol. 17, Iss. 18, pp. 4523-4523
Open Access | Times Cited: 3
Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, et al.
Energy Reports (2023) Vol. 10, pp. 4198-4217
Open Access | Times Cited: 9
Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2023) Vol. 291, pp. 108620-108620
Open Access | Times Cited: 9
A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin
Mohammed Abdallah, Ke Zhang, Lijun Chao, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 5, pp. 1147-1172
Open Access | Times Cited: 2
Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition
Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 1
Application of multiple spatial interpolation approaches to annual rainfall data in the Wadi Cheliff basin (north Algeria)
Mohammed Achite, Paraskevas Tsangaratos, Gaetano Pellicone, et al.
Ain Shams Engineering Journal (2023) Vol. 15, Iss. 3, pp. 102578-102578
Open Access | Times Cited: 2
Coastal cities-wide estimation of daily class A pan evaporation from few hydrometeorological variables
Mahdi Mohammadi, Meysam Salarijazi, Khalil Ghorbani, et al.
Urban Water Journal (2023) Vol. 20, Iss. 7, pp. 782-800
Closed Access | Times Cited: 2
Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102113-102113
Closed Access
Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning models
Jia Zhang, Yimin Ding, Lei Zhu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109268-109268
Open Access
A D-vine copula-based quantile regression towards merging satellite precipitation products over a rugged topography at the upper Tekeze Atbara Basin of the Nile Basin
Mohammed Abdallah, Ke Zhang, Lijun Chao, et al.
(2023)
Open Access
Comment on hess-2023-179
Mohammed Abdallah, Ke Zhang, Lijun Chao, et al.
(2023)
Open Access
Comment on hess-2023-179

(2023)
Open Access
Reply on RC2
Ke Zhang
(2023)
Open Access
Page 1 - Next Page

Scroll to top