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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:

Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited climatic data
Xin Zhao, Lei Zhang, Ge Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108140-108140
Closed Access | Times Cited: 17

Showing 17 citing articles:

SHAP values accurately explain the difference in modeling accuracy of convolution neural network between soil full-spectrum and feature-spectrum
Liang Zhong, Guo Xi, Meng Ding, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108627-108627
Closed Access | Times Cited: 15
Application of machine learning approaches in supporting irrigation decision making: A review
Lisa Umutoni, Vidya Samadi
Agricultural Water Management (2024) Vol. 294, pp. 108710-108710
Open Access | Times Cited: 11
Short-term daily reference evapotranspiration forecasting using temperature-based deep learning models in different climate zones in China
Lei Zhang, Xin Zhao, Ge Zhu, et al.
Agricultural Water Management (2023) Vol. 289, pp. 108498-108498
Open Access | Times Cited: 17
Comparative analysis of different machine learning algorithms for predicting trace metal concentrations in soils under intensive paddy cultivation
Mehmet Taşan, Yusuf Demir, Sevda Taşan, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108772-108772
Closed Access | Times Cited: 5
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Md Mahfuz Alam, Mst. Yeasmin Akter, Abu Reza Md. Towfiqul Islam, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119714-119714
Closed Access | Times Cited: 15
Establishment of critical non-depositing velocity prediction model for sediment in drip irrigation laterals based on PSO-SVM
Chang Wang, Bai Dan, Yibo Li, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142488-142488
Closed Access | Times Cited: 5
Effect of different data quality control on evapotranspiration of winter wheat with Bowen ratio method
Yingnan Wu, Qiaozhen Li, Xiuli Zhong, et al.
Agricultural Water Management (2025) Vol. 311, pp. 109379-109379
Open Access
Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning
Zuriani Mustaffa, Mohd Herwan Sulaiman
Franklin Open (2023) Vol. 5, pp. 100053-100053
Open Access | Times Cited: 7
Enhanced Crop LAI Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
Jun Zhang, Qiang Wu, C. Liu, et al.
Research Square (Research Square) (2024)
Open 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
Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
Jun Zhang, Jinpeng Cheng, C. Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3917-3917
Open 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
Dynamic optimization can effectively improve the accuracy of reference evapotranspiration in southern China
Xiang Xiao, Ziniu Xiao, Xiaogang Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109881-109881
Closed Access | Times Cited: 1
Dynamic land cover evapotranspiration model algorithm: DyLEMa
Jeongho Han, Jorge A. Guzmán, Maria L. Chu
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108875-108875
Open Access
Evaluation of crop water stress index of wheat by using machine learning models
Aditi Yadav, Likith Muni Narakala, Hitesh Upreti, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access
Stand characteristics regulate forest water-use efficiency in the three-north shelterbelt forest program region of China
Jianzhuang Pang, Hang Xu, Qin Zhang, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 11, pp. 114028-114028
Open Access
Estimating reference evapotranspiration using hybrid models optimized by bio-inspired algorithms combined with key meteorological factors
Hanmi Zhou, Linshuang Ma, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109862-109862
Closed Access
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