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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:

Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model
Yang Lu, Tendai Polite Chibarabada, Matteo G. Ziliani, et al.
Agricultural Water Management (2021) Vol. 252, pp. 106884-106884
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation
Li Luo, Shikun Sun, Jing Xue, et al.
Agricultural Systems (2023) Vol. 210, pp. 103711-103711
Closed Access | Times Cited: 55
Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model
Matteo G. Ziliani, M. U. Altaf, B. Aragon, et al.
Agricultural and Forest Meteorology (2021) Vol. 313, pp. 108736-108736
Open Access | Times Cited: 74
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China
Minghan Cheng, Josep Peñuelas, Matthew F. McCabe, et al.
Agricultural and Forest Meteorology (2022) Vol. 323, pp. 109057-109057
Closed Access | Times Cited: 62
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
Minghan Cheng, Xiyun Jiao, Lei Shi, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 41
Development of a data-assimilation system to forecast agricultural systems: A case study of constraining soil water and soil nitrogen dynamics in the APSIM model
Marissa Kivi, Bethany Blakely, Michael D. Masters, et al.
The Science of The Total Environment (2022) Vol. 820, pp. 153192-153192
Open Access | Times Cited: 40
Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance
Soham Adla, Felix Bruckmaier, Leonardo F. Arias-Rodriguez, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120248-120248
Open Access | Times Cited: 13
Enhancing SWAP simulation accuracy via assimilation of leaf area index and soil moisture under different irrigation, film mulching and maize varieties conditions
Xi Huang, Yin Zhao, Tongkai Guo, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108625-108625
Closed Access | Times Cited: 9
Trends in crop yield estimation via data assimilation based on multi-interdisciplinary analysis
Hong Cao, Rongkun Zhao, Lang Xia, et al.
Field Crops Research (2025) Vol. 322, pp. 109745-109745
Closed Access | Times Cited: 1
Maize yield estimation based on UAV multispectral monitoring of canopy LAI and WOFOST data assimilation
Guodong Fu, Chao Li, Wenrong Liu, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127614-127614
Closed Access | Times Cited: 1
Sun-induced chlorophyll fluorescence is superior to satellite vegetation indices for predicting summer maize yield under drought conditions
Yuqian Wang, Pei Leng, Guofei Shang, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107615-107615
Closed Access | Times Cited: 19
Quantification of wheat water footprint based on data assimilation of remote sensing and WOFOST model
Jing Xue, Shikun Sun, Li Luo, et al.
Agricultural and Forest Meteorology (2024) Vol. 347, pp. 109914-109914
Closed Access | Times Cited: 8
Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations
Xinlei He, Shaomin Liu, Sayed M. Bateni, et al.
Agricultural and Forest Meteorology (2024) Vol. 355, pp. 110136-110136
Closed Access | Times Cited: 8
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
Nima Zafarmomen, Hosein Alizadeh, Mehrad Bayat, et al.
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 7
Assimilating leaf area index data into a sugarcane process-based crop model for improving yield estimation
Izael Martins Fattori, Murilo dos Santos Vianna, Fábio Ricardo Marin
European Journal of Agronomy (2022) Vol. 136, pp. 126501-126501
Closed Access | Times Cited: 26
Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+
Omid Mohammadi Igder, Hosein Alizadeh, Barat Mojaradi, et al.
Journal of Hydrology (2022) Vol. 610, pp. 128012-128012
Closed Access | Times Cited: 25
Wheat Yield Estimation at High Spatial Resolution through the Assimilation of Sentinel-2 Data into a Crop Growth Model
El Houssaine Bouras, Per‐Ola Olsson, Shangharsha Thapa, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4425-4425
Open Access | Times Cited: 16
A Combination of OBIA and Random Forest Based on Visible UAV Remote Sensing for Accurately Extracted Information about Weeds in Areas with Different Weed Densities in Farmland
Feng Chao, Wenjiang Zhang, Hui Deng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4696-4696
Open Access | Times Cited: 16
Progress and perspectives in data assimilation algorithms for remote sensing and crop growth model
Jianxi Huang, Jianjian Song, Hai Huang, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100146-100146
Open Access | Times Cited: 6
Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments
Yang Lu, Tendai Polite Chibarabada, Matthew F. McCabe, et al.
Field Crops Research (2021) Vol. 269, pp. 108182-108182
Open Access | Times Cited: 29
Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information
Yang Lu, Chunzhu Wei, Matthew F. McCabe, et al.
Agricultural Water Management (2022) Vol. 266, pp. 107576-107576
Closed Access | Times Cited: 20
An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation
Proloy Deb, Peyman Abbaszadeh, Hamid Moradkhani
Agricultural and Forest Meteorology (2022) Vol. 321, pp. 108982-108982
Open Access | Times Cited: 19
Simulation Method for Considering the Lag of Turbulent Evapotranspiration
Yizhan Shu, Keke Zhang, Honglang Duan, et al.
(2025)
Closed Access
Improving the simulation of maize growth using WRF-Crop model based on data assimilation and local maize characteristics
Lun Bao, Lingxue Yu, Entao Yu, et al.
Agricultural and Forest Meteorology (2025) Vol. 365, pp. 110478-110478
Closed Access
AquaCrop-IoT: A smart irrigation platform integrating real-time images and weather forecasting
Francisco Puig, Margarita García‐Vila, María-Auxiliadora Soriano, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110372-110372
Closed Access
A Bayesian framework for crop model calibration: A case study in the US Corn Belt
Matteo G. Ziliani, M. U. Altaf, Trenton E. Franz, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127650-127650
Closed Access
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