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:

Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China
Yingjie Lu, Tao Li, Hui Hu, et al.
Agricultural Water Management (2023) Vol. 279, pp. 108175-108175
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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: 18

Towards efficient irrigation management at field scale using new technologies: A systematic literature review
Afaf Bounajra, Kamal El Guemmat, Khalifa Mansouri, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108758-108758
Open Access | Times Cited: 9

Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration
Shima Amani, Hossein Shafizadeh‐Moghadam, Saeid Morid
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1921-1942
Open Access | Times Cited: 8

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
Stephen Luo Sheng Yong, Jing Lin Ng, Yuk Feng Huang, et al.
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4213-4241
Closed Access | Times Cited: 8

Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy
Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108609-108609
Closed Access | Times Cited: 6

How can agricultural water production be promoted? a review on machine learning for irrigation
Hairong Gao, Lili Zhangzhong, Wengang Zheng, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137687-137687
Closed Access | Times Cited: 15

Attribution analysis of trends in reference crop evapotranspiration in China
Yue Liu, Mengjing Guo, Jing Li, et al.
Journal of Geographical Sciences (2025) Vol. 35, Iss. 1, pp. 3-16
Closed Access

PRISMA-Guided Systematic Review on the Adoption of Artificial Intelligence and Embedded Systems for Smart Irrigation
Nisrine Lachgar, Hajar Saikouk, Moad Essabbar, et al.
Pure and Applied Geophysics (2025)
Closed Access

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

Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3

Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting
Eyyup Ensar Başakın, Ömer Ekmekcioğlu, Paul C. Stoy, et al.
MethodsX (2023) Vol. 10, pp. 102163-102163
Open Access | Times Cited: 7

Modeling the dynamics of evapotranspiration of wolfberry (Lycium barbarum L.) under different cultivation methods on the Tibetan Plateau
Jiaxin Wang, Yaohui Cai, Xiaodong Gao, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131537-131537
Closed Access | Times Cited: 2

Are Supervised Learning Methods Suitable for Estimating Crop Water Consumption under Optimal and Deficit Irrigation?
Sevim Seda Yamaç, Bedri Kurtuluş, Azhar M. Memon, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 532-532
Open Access | Times Cited: 1

Wind Speed Forecasting Based on Phase Space Reconstruction and a Novel Optimization Algorithm
Zhaoshuang He, Yanhua Chen, Y. D. Zang
Sustainability (2024) Vol. 16, Iss. 16, pp. 6945-6945
Open Access | Times Cited: 1

Implementation of direct demodulator based on ANN using FPGA
Vineetha K.V., Ramesh Chinthala, Dhanesh G. Kurup
Alexandria Engineering Journal (2024) Vol. 108, pp. 730-753
Closed Access | Times Cited: 1

Assessing forecast performance of daily reference evapotranspiration: A comparison of equations, machine and deep learning using weather forecasts
Haiyang Qian, Weiguang Wang, Gang Chen
Journal of Hydrology (2024), pp. 132101-132101
Closed Access | Times Cited: 1

Soil Moisture Content Inversion Model on the Basis of Sentinel Multispectral and Radar Satellite Remote Sensing Data
Fei Guo, Zugui Huang, Xiaolong Su, et al.
Journal of soil science and plant nutrition (2024)
Closed Access | Times Cited: 1

Innovative Multi-Temporal Evapotranspiration Forecasting Using Empirical Fourier Decomposition and Bidirectional Long Short-Term Memory
Masoud Karbasi, Mumtaz Ali, Gurjit S. Randhawa, et al.
Smart Agricultural Technology (2024), pp. 100619-100619
Open Access | Times Cited: 1

Daily runoff prediction during flood seasons based on the VMD–HHO–KELM model
Xianqi Zhang, Fang Liu, Qiuwen Yin, et al.
Water Science & Technology (2023) Vol. 88, Iss. 2, pp. 468-485
Open Access | Times Cited: 4

Prediction of membrane purification by membrane fouling based on mathematic and machine learning models combined with image processing technology
Lu Wang, Zonghao Li, Jianhua Fan, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 111154-111154
Closed Access | Times Cited: 4

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