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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:

Investigating of the climatic parameters effectiveness rate on barley water requirement using the random forest algorithm, Bayesian multiple linear regression and cross-correlation function
Abdol Rassoul Zarei, Mohammad Reza Mahmoudi, Ali Shabani
Paddy and Water Environment (2020) Vol. 19, Iss. 1, pp. 137-148
Closed Access | Times Cited: 21

Showing 21 citing articles:

Optimization of Water-Energy-Food Nexus considering CO2 emissions from cropland: A case study in northwest Iran
Marzieh Hasanzadeh Saray, Aziza Baubekova, Alireza Gohari, et al.
Applied Energy (2021) Vol. 307, pp. 118236-118236
Open Access | Times Cited: 66
The relationship between PM10 and meteorological variables in the mega city Istanbul
Enes Birinci, Ali Deniz, Emrah Tuncay Özdemir
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 2
Closed Access | Times Cited: 14
Soil erosion prediction using Markov and CA-Markov chains methods and remote sensing drought indicators
Marzieh Mokarram, Abdol Rassoul Zarei
Ecological Informatics (2023) Vol. 78, pp. 102386-102386
Closed Access | Times Cited: 13
Assessment of drought risk for winter wheat on the Huanghuaihai Plain under climate change using an EPIC model-based approach
Yaojie Yue, Wuqiong Yang, Lin Wang
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 690-711
Open Access | Times Cited: 16
Evaluation of agricultural drought in South Korea using socio-economic drought information
Jiwan Lee, Eunmi Hong, Jinuk Kim, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 74, pp. 102936-102936
Closed Access | Times Cited: 15
Machine learning and regression-based techniques for predicting sprinkler irrigation's wind drift and evaporation losses
Mohamed A. Mattar, Dilip Kumar Roy, Hussein M. Al-Ghobari, et al.
Agricultural Water Management (2022) Vol. 265, pp. 107529-107529
Closed Access | Times Cited: 13
Prediction of irrigation water suitability using geospatial computing approach: a case study of Agartala city, India
Santanu Mallik, Abhigyan Chakraborty, Umesh Mishra, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 55, pp. 116522-116537
Closed Access | Times Cited: 13
Prediction of water distribution uniformity of sprinkler irrigation system based on machine learning algorithms
Khadiga T. Elhussiny, Ahmed M. Hassan, Ahmed Abu Habssa, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Evaluation of Forestry Ecological Efficiency: A Spatiotemporal Empirical Study Based on China’s Provinces
Shuai Chen, Shunbo Yao
Forests (2021) Vol. 12, Iss. 2, pp. 142-142
Open Access | Times Cited: 17
Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression
Abdol Rassoul Zarei, Mohammad Reza Mahmoudi
Water Resources Management (2020) Vol. 35, Iss. 1, pp. 159-177
Closed Access | Times Cited: 15
An analysis of urban heat island based on the temperature inversion across the atmospheric boundary layer in Mashhad, Iran (2018–2022)
Mohammad Reza Mansouri Daneshvar, Rayeheh Khatami, Majid Ebrahimi
Spatial Information Research (2024) Vol. 32, Iss. 5, pp. 607-622
Closed Access | Times Cited: 1
Statistical modeling and mapping of rainfall in the endorheic basins of Northern Algeria: a comparison of spatial interpolation methods
Azeddine Guidoum
Acta Geophysica (2024)
Closed Access | Times Cited: 1
THE DESIGN OF JUJUBE IRRIGATION SYSTEM USING LINEAR REGRESSION ANALYSIS, BP NEURAL NETWORK AND RANDOM FOREST
Wenhao DOU, Sun SanMin, Pengxiang Xu
INMATEH Agricultural Engineering (2023), pp. 165-172
Open Access | Times Cited: 1
An integrated approach for agricultural water resources management under drought with consideration of multiple uncertainties
Youzhi Wang, Xiangyu Zhang, Yifei Jia, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 5, pp. 1763-1775
Closed Access | Times Cited: 2
Research on compound fault diagnosis of rolling bearing based on intrinsic time scale decomposition and information fusion
Mingyue Yu, Guihong Guo
Noise & Vibration Worldwide (2021) Vol. 53, Iss. 3, pp. 142-158
Closed Access | Times Cited: 2
The Teaching Capacity of Industry Characteristic Counselors Based on Data Fusion and Random Forest Algorithm
Li Ji, Yingmin Sun, Meimei Sun, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 1
Large-scale distribution network load data cleaning research based on improved random forest
Min Li, Jing Tan, Yigang Tao, et al.
(2023), pp. 95-95
Closed Access
Prediction of Water Distribution Uniformity of Sprinkler Irrigation System Based on Machine Learning Algorithms
Khadiga T. Elhussiny, Ahmed M. Hassan, Ahmed Abu Habssa, et al.
Research Square (Research Square) (2023)
Open Access
Ecological Agriculture Safety Supervision System Based on Random Forest Algorithm
Caixia Li
(2022), pp. 1-5
Closed Access
Dataset Outlier Detection Method Based on Random Forest Algorithm
Yingzi Zheng
(2022), pp. 552-556
Closed Access
Métodos supervisionados de machine learning aplicados à produtividade agrícola de cana-de-açúcar
Jhonnatan Yepes
(2021)
Open Access
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