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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:

Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis
Shirui Hao, Dongryeol Ryu, Andrew W. Western, et al.
Agricultural Systems (2021) Vol. 194, pp. 103278-103278
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Evaluation of Random Forests (RF) for Regional and Local-Scale Wheat Yield Prediction in Southeast Australia
Alexis Pang, Melissa W L Chang, Yang Chen
Sensors (2022) Vol. 22, Iss. 3, pp. 717-717
Open Access | Times Cited: 44
Chemistry of wheat gluten proteins: Quantitative composition
Herbert Wieser, Peter Koehler, Katharina Anne Scherf
Cereal Chemistry (2022) Vol. 100, Iss. 1, pp. 36-55
Open Access | Times Cited: 38
Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Sana Arshad, Syed Jamil Hasan Kazmi, Muhammad Gohar Javed, et al.
European Journal of Agronomy (2023) Vol. 147, pp. 126837-126837
Closed Access | Times Cited: 28
Field-scale modeling of root water uptake and crop growth in a tropical scenario
Marina Luciana Abrêu de Melo, Quirijn de Jong van Lier, Evandro Henrique Figueiredo Moura da Silva, et al.
Field Crops Research (2025) Vol. 322, pp. 109749-109749
Closed Access | Times Cited: 1
Methodological evolution of potato yield prediction: a comprehensive review
Yongxin Lin, Shuang Li, Shaoguang Duan, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 19
An automatic ensemble machine learning for wheat yield prediction in Africa
Siham Eddamiri, Fatima Zahra Bassine, Victor Ongoma, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66433-66459
Closed Access | Times Cited: 7
Low-light wheat image enhancement using an explicit inter-channel sparse transformer
Yu Wang, Fei Wang, Kun Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109169-109169
Closed Access | Times Cited: 6
The Impact of Bio-Stimulants on Cd-Stressed Wheat (Triticum aestivum L.): Insights Into Growth, Chlorophyll Fluorescence, Cd Accumulation, and Osmolyte Regulation
Fozia Farhat, Muhammad Arfan, Xiukang Wang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 25
A New Framework for Winter Wheat Yield Prediction Integrating Deep Learning and Bayesian Optimization
Di Yan, Maofang Gao, Fukang Feng, et al.
Agronomy (2022) Vol. 12, Iss. 12, pp. 3194-3194
Open Access | Times Cited: 24
AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach
Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, et al.
Geoscientific model development (2024) Vol. 17, Iss. 3, pp. 997-1021
Open Access | Times Cited: 4
Functional data analysis-based yield modeling in year-round crop cultivation
Hidetoshi Matsui, Keiichi Mochida
Horticulture Research (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 4
Improving Wheat Yield Prediction with Multi-Source Remote Sensing Data and Machine Learning in Arid Regions
Aamir Raza, Muhammad Adnan Shahid, Muhammad Zaman, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 774-774
Open Access
APSIM NG Model Simulation of Soil N2O Emission from the Dry-Crop Wheat Field and Its Parameter Sensitivity Analysis
Yanyan Li, Yao Yao, Mengyin Du, et al.
Agronomy (2025) Vol. 15, Iss. 4, pp. 834-834
Open Access
Strategic use of index-based frost insurance to reduce financial risk and improve income stability for wheat producers in Australia
Jonathan Barratt, Jarrod Kath, Shahbaz Mushtaq, et al.
Agricultural Systems (2025) Vol. 226, pp. 104306-104306
Open Access
Characterizing the dynamic linkages between environmental changes and wheat Fusarium head blight epidemics
Yan Zhu, Jinfeng Xi, Yuanyuan Yao, et al.
Ecological Informatics (2024) Vol. 80, pp. 102524-102524
Open Access | Times Cited: 3
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought
Yi Luo, Huijing Wang, Junjun Cao, et al.
Precision Agriculture (2024) Vol. 25, Iss. 4, pp. 1982-2006
Closed Access | Times Cited: 3
Impacts of meteorological factors and ozone variation on crop yields in China concerning carbon neutrality objectives in 2060
Beiyao Xu, Tijian Wang, Libo Gao, et al.
Environmental Pollution (2022) Vol. 317, pp. 120715-120715
Closed Access | Times Cited: 15
Machine learning techniques and interpretability for maize yield estimation using Time-Series images of MODIS and Multi-Source data
Yujiao Lyu, Pengxin Wang, Xueyuan Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109063-109063
Closed Access | Times Cited: 2
Exploring the uncertainty in projected wheat phenology, growth and yield under climate change in China
Huan Liu, Wei Xiong, Diego Noleto Luz Pequeno, et al.
Agricultural and Forest Meteorology (2022) Vol. 326, pp. 109187-109187
Closed Access | Times Cited: 12
Estimating Effects of Radiation Frost on Wheat Using a Field-Based Frost Control Treatment to Stop Freezing Damage
Brenton Leske, Thomas Ben Biddulph
Genes (2022) Vol. 13, Iss. 4, pp. 578-578
Open Access | Times Cited: 10
Targeted irrigation expands scope for winter cereal production in water-limited areas of California's San Joaquin Valley
C. A. Peterson, Cameron M. Pittelkow, Mark Lundy
Agricultural Systems (2023) Vol. 210, pp. 103696-103696
Open Access | Times Cited: 5
Global sensitivity analysis of APSIM-wheat yield predictions to model parameters and inputs
Shirui Hao, Dongryeol Ryu, Andrew W. Western, et al.
Ecological Modelling (2023) Vol. 487, pp. 110551-110551
Open Access | Times Cited: 5
Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?
Siyi Li, Bin Wang, De Li Liu, et al.
European Journal of Agronomy (2023) Vol. 153, pp. 127030-127030
Closed Access | Times Cited: 5
Assessing the effect of using different APSIM model configurations on model outputs
Ranju Chapagain, Neil Huth, Tomas A. Remenyi, et al.
Ecological Modelling (2023) Vol. 483, pp. 110451-110451
Open Access | Times Cited: 4
Downscaling the APSIM crop model for simulation at the within-field scale
Daniel Pasquel, Davide Cammarano, Sébastien Roux, et al.
Agricultural Systems (2023) Vol. 212, pp. 103773-103773
Open Access | Times Cited: 4
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