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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:

Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data
Emre Tunca, Eyüp Seli̇m Köksal, Elif ÖZTÜRK, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 12

Showing 12 citing articles:

Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
Ruibin Bai, Zhou Jun-hui, Siman Wang, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 498-498
Open Access | Times Cited: 12
Estimation of the rice aboveground biomass based on the first derivative spectrum and Boruta algorithm
櫻井 克年, Xiangxiang Su, Yue Hu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 9
High‐throughput phenotyping of stay‐green in a sorghum breeding program using unmanned aerial vehicles and machine learning
N. Ace Pugh, Andrew W. Young, Yves Emendack, et al.
The Plant Phenome Journal (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Comparison of CWSI and Ts-Ta-VIs in moisture monitoring of dryland crops (sorghum and maize) based on UAV remote sensing
Hui Chen, Haishan Chen, Song Zhang, et al.
Journal of Integrative Agriculture (2024) Vol. 23, Iss. 7, pp. 2458-2475
Open Access | Times Cited: 8
Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
N. Ace Pugh, Andrew W. Young, M. D. Ojha, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
Ground-Based Hyperspectral Estimation of Maize Leaf Chlorophyll Content Considering Phenological Characteristics
Yiming Guo, Shiyu Jiang, Huiling Miao, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2133-2133
Open Access | Times Cited: 4
Water content estimation of conifer needles using leaf-level hyperspectral data
Yuan Zhang, Anzhi Wang, Jiaxin Li, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
Novel Machine Learning Approaches for Accurate Leaf Area Estimation in Apples
Hüsnü Demirsoy, Erdem Küçüktopçu, Derviş Emre Doğan
Deleted Journal (2025) Vol. 67, Iss. 2
Closed Access
Evaluation of machine-learning algorithms in estimation of relative water content of sorghum under different irrigated environments
S. Divya Dharshini, A Anurag, Anil Kumar, et al.
Journal of Arid Environments (2025) Vol. 229, pp. 105390-105390
Closed Access
Estimation of potato canopy leaf water content in various growth stages using UAV hyperspectral remote sensing and machine learning
Faxu Guo, Quan Feng, Sen Yang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Machine Learning and Wavelet Transform: A Hybrid Approach to Predicting Ammonia Levels in Poultry Farms
Erdem Küçüktopçu, Bilal Cemek, Halis Şimşek
Animals (2024) Vol. 14, Iss. 20, pp. 2951-2951
Open Access | Times Cited: 1
Detecting Water Stress in Winter Wheat Based on Multifeature Fusion from UAV Remote Sensing and Stacking Ensemble Learning Method
He Zhao, Jingjing Wang, Jiali Guo, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4100-4100
Open Access
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