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:

Artificial intelligence methods reliably predict crop evapotranspiration with different combinations of meteorological data for sugar beet in a semiarid area
Sevim Seda Yamaç
Agricultural Water Management (2021) Vol. 254, pp. 106968-106968
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Artificial intelligence applications in the agrifood sectors
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Lyndah Chiwazi
Journal of Agriculture and Food Research (2023) Vol. 11, pp. 100502-100502
Open Access | Times Cited: 76
Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
Erica Shrestha, Suyog Poudyal, Anup Ghimire, et al.
Results in Engineering (2025), pp. 104254-104254
Open Access | Times Cited: 1
Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management
Abia Katimbo, Daran R. Rudnick, Jingwen Zhang, et al.
Smart Agricultural Technology (2023) Vol. 4, pp. 100176-100176
Open Access | Times Cited: 36
How artificial intelligence uses to achieve the agriculture sustainability: Systematic review
Vilani Sachithra, Leela Subhashini
Artificial Intelligence in Agriculture (2023) Vol. 8, pp. 46-59
Open Access | Times Cited: 35
Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation
Antonino Pagano, Federico Amato, Matteo Ippolito, et al.
Ecological Informatics (2023) Vol. 76, pp. 102133-102133
Open Access | Times Cited: 23
A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
Hanmi Zhou, Linshuang Ma, Xiaoli Niu, et al.
Agricultural Water Management (2024) Vol. 296, pp. 108807-108807
Open Access | Times Cited: 9
Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China
Zongjun Wu, Ningbo Cui, Daozhi Gong, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128947-128947
Closed Access | Times Cited: 35
Towards Artificial Intelligence Applications in Precision and Sustainable Agriculture
Nguyễn Thanh Sơn, Cheng-Ru Chen, Chien-Hui Syu
Agronomy (2024) Vol. 14, Iss. 2, pp. 239-239
Open Access | Times Cited: 7
The application of machine learning techniques for smart irrigation systems: A systematic literature review
Abiadi Younes, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, et al.
Smart Agricultural Technology (2024) Vol. 7, pp. 100425-100425
Open Access | Times Cited: 6
Drip irrigation strategy for tomatoes grown in greenhouse on the basis of fuzzy Borda and K-means analysis method
Keyu Zhu, Yuhong Zhao, Yongbo Ma, et al.
Agricultural Water Management (2022) Vol. 267, pp. 107598-107598
Closed Access | Times Cited: 24
Characterisation of Water and Heat Fluxes of Typical Crops and Simulation of Evapotranspiration in Saline‐Alkali Soil of the Yellow River Delta, China
Qiu Haonan, Shihong Yang, Guangmei Wang, et al.
Journal of Agronomy and Crop Science (2025) Vol. 211, Iss. 1
Closed Access
Hybrid deep learning techniques for estimation of daily crop evapotranspiration using limited climate data
Gitika Sharma, Ashima Singh, Sushma Jain
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107338-107338
Closed Access | Times Cited: 19
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
Water footprint modeling and forecasting of cassava based on different artificial intelligence algorithms in Guangxi, China
Mingfeng Tao, Tingting Zhang, Xiaomin Xie, et al.
Journal of Cleaner Production (2022) Vol. 382, pp. 135238-135238
Closed Access | Times Cited: 14
Estimation of Spring Maize Evapotranspiration in Semi-Arid Regions of Northeast China Using Machine Learning: An Improved SVR Model Based on PSO and RF Algorithms
Wenjie Hou, Guanghua Yin, Jian Gu, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1503-1503
Open Access | Times Cited: 7
Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability
Kartikey Sahil, Purnima Mehta, Satish Kumar Bhardwaj, et al.
Elsevier eBooks (2022), pp. 421-448
Closed Access | Times Cited: 10
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
Estimation of walnut crop evapotranspiration under different micro-irrigation techniques in arid zones based on deep learning sequence models
Hua Huang, Yanping Song, Zimiao Fan, et al.
Results in Applied Mathematics (2023) Vol. 20, pp. 100412-100412
Open Access | Times Cited: 4
Saturated Hydraulic Conductivity Estimation Using Artificial Intelligence Techniques: A Case Study for Calcareous Alluvial Soils in a Semi-Arid Region
Sevim Seda Yamaç, Hamza Negiş, Cevdet Şeker, et al.
Water (2022) Vol. 14, Iss. 23, pp. 3875-3875
Open Access | Times Cited: 7
Integration of flux footprint and physical mechanism into convolutional neural network model for enhanced simulation of urban evapotranspiration
Han Chen, Jinhui Jeanne Huang‬‬‬‬, Hong Liang, et al.
Journal of Hydrology (2022) Vol. 619, pp. 129016-129016
Closed Access | Times Cited: 7
Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches
Abdüsselam Altunkaynak, Kübra Küllahcı
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22177-22196
Closed Access | Times Cited: 6
Performance analysis of the application of convolutional neural networks architectures in the agricultural diagnosis
Sara Belattar, Otman Abdoun, El Khatir Haimoudi
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 27, Iss. 1, pp. 156-156
Open Access | Times Cited: 5
Estimating daily minimum grass temperature to quantify frost damage to winter wheat during stem elongation in the central area of Huang-Huai plain in China
Yongfeng Wu, Zhihong Gong, Lin Ji, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 21, pp. 61072-61088
Closed Access | Times Cited: 2
Effects of outdoor volleyball exercise on cardiorespiratory function under a heavy haze environment
Hong Wang
3C TIC Cuadernos de desarrollo aplicados a las TIC (2023) Vol. 12, Iss. 2, pp. 360-377
Open Access | Times Cited: 2
The Application of Agricultural Resource Management Information System based on Internet of Things and Data Mining
Suwei Gao
IEEE Access (2021) Vol. 9, pp. 164837-164845
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top