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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:

Estimated flooded rice grain yield and nitrogen content in leaves based on RPAS images and machine learning
Fernando Coelho Eugênio, Mara Grohs, Mateus Sabadi Schuh, et al.
Field Crops Research (2023) Vol. 292, pp. 108823-108823
Closed Access | Times Cited: 10

Showing 10 citing articles:

Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data
Ruiqi Du, Junying Chen, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108356-108356
Closed Access | Times Cited: 18
Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 7
Real-time nitrogen monitoring and management to augment N use efficiency and ecosystem sustainability – A review
Ravikumar Swathy, Vellingiri Geethalakshmi, S. Pazhanivelan, et al.
Journal of Hazardous Materials Advances (2024), pp. 100466-100466
Open Access | Times Cited: 6
A multi-spectral and hyperspectral image dataset for evaluating chemical traits and the water status of avocado, olive and grape through leaf dehydration under laboratory conditions
Juan Sebastian Estrada, Rodrigo Demarco, Ciarán Miceal Johnson, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Critical Review on Rice Nutrition Monitoring Using AI-Based Techniques
Rupjyoti Chutia, Dibya Jyoti Bora
IGI Global eBooks (2025), pp. 1-28
Closed Access
Automated Rice Crop Yield Prediction using Sine Cosine Algorithm with Weighted Regularized Extreme Learning Machine
S. Thirumal, R.S. Latha
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 35-40
Closed Access | Times Cited: 6
Combining production ecology principles with random forest to model potato yield in China
Qiuhong Huang, G.B.M. Heuvelink, Ping He, et al.
Field Crops Research (2024) Vol. 319, pp. 109619-109619
Open Access | Times Cited: 2
Construction of cotton leaf nitrogen content estimation model based on the PROSPECT model
Feng Xu, Yiren Ding, Shizhe Qin, et al.
Notulae Botanicae Horti Agrobotanici Cluj-Napoca (2024) Vol. 52, Iss. 1, pp. 13565-13565
Open Access
Comparative evaluation of machine learning algorithms for rainfall prediction to improve rice crops production
Beenish Ayesha Akram, Amna Zafar, Talha Waheed, et al.
Mehran University Research Journal of Engineering and Technology (2024) Vol. 43, Iss. 3, pp. 1-1
Open Access
Rice Yield Analysis and Forecasting Using Phenology-Based Time-Series Features
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
(2023)
Closed Access
Advances in Rice Plant Disease Detection: A Survey of Machine Learning and Deep Learning Approaches
D. Felicia Rose Anandhi, S. Sathiamoorthy
International Journal of Science and Research (IJSR) (2023) Vol. 12, Iss. 12, pp. 1408-1414
Open Access
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