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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:

Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation
Kai-Yun Li, Raul Sampaio de Lima, Niall G. Burnside, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1114-1114
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review
Mukhtar Iderawumi Abdulraheem, Wei Zhang, Shixin Li, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15444-15444
Open Access | Times Cited: 52
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient-Boosting Machine Learning
Maksymilian Mądziel
Energies (2023) Vol. 16, Iss. 6, pp. 2754-2754
Open Access | Times Cited: 22
An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”
Giovanni Avola, Alessandro Matese, Ezio Riggi
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1917-1917
Open Access | Times Cited: 22
Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review
Abbas Taseer, Xiongzhe Han
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108841-108841
Closed Access | Times Cited: 13
Testing the suitability of automated machine learning, hyperspectral imaging and CIELAB color space for proximal in situ fertilization level classification
Ioannis Malounas, Diamanto Lentzou, G. Xanthopoulos, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100437-100437
Open Access | Times Cited: 9
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 8
Early detection of broccoli drought acclimation/stress in agricultural environments utilizing proximal hyperspectral imaging and AutoML
Ioannis Malounas, Γεώργιος Παλιούρας, Dimosthenis Nikolopoulos, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100463-100463
Open Access | Times Cited: 8
Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1910-1910
Open Access | Times Cited: 5
Evaluating machine learning models and identifying key factors influencing spatial maize yield predictions in data intensive farm management
S. Maseko, Michael van der Laan, Eyob Habte Tesfamariam, et al.
European Journal of Agronomy (2024) Vol. 157, pp. 127193-127193
Open Access | Times Cited: 4
Two-step fusion framework for generating 10 m resolution soil moisture with high accuracy in the cotton fields of southern Xinjiang
Shenglin Li, Shuqi Jiang, Ni Song, et al.
Industrial Crops and Products (2025) Vol. 226, pp. 120582-120582
Open Access
Enhancing grain moisture prediction in multiple crop seasons using domain adaptation AI
Ming‐Der Yang, Yu‐Chun Hsu, Tao Liu, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110058-110058
Open Access
Gene editing and GWAS for digital imaging analysis of wheat grain weight, size and shape are inevitable to enhance the yield
Muhammad Jamil, W.A.M Wan Ahmad, Muhammad Sanwal, et al.
Cereal Research Communications (2025)
Closed Access
WDTM-CL: Efficient Wavelet-based dual Transformer model with contrastive learning for spectral reconstruction from RGB images
Jiang Zhu, Van Kwan Zhi Koh, Bihan Wen, et al.
Journal of the Franklin Institute (2025), pp. 107646-107646
Closed Access
A Review of Advances in Computer Vision, Multi/Hyperspectral Imaging, UAVs, and Agri-Bots
Muhammad Jawad Bashir, Rafia Mumtaz
Advances in computational intelligence and robotics book series (2025), pp. 149-190
Closed Access
Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops
Renan Falcioni, Werner Camargos Antunes, José Alexandre Melo Demattê, et al.
Plants (2023) Vol. 12, Iss. 12, pp. 2347-2347
Open Access | Times Cited: 12
Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 9
Spatial Decision Support Systems with Automated Machine Learning: A Review
Richard Wen, Songnian Li
ISPRS International Journal of Geo-Information (2022) Vol. 12, Iss. 1, pp. 12-12
Open Access | Times Cited: 12
A novel framework for multi-layer soil moisture estimation with high spatio-temporal resolution based on data fusion and automated machine learning
Shenglin Li, Yang Han, Caixia Li, et al.
Agricultural Water Management (2024) Vol. 306, pp. 109173-109173
Open Access | Times Cited: 2
Crop Yield Prediction Using Machine Learning: An Extensive and Systematic Literature Review
Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, et al.
Smart Agricultural Technology (2024), pp. 100718-100718
Open Access | Times Cited: 2
Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning
Ming‐Der Yang, Yu‐Chun Hsu, Wei-Cheng Tseng, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109813-109813
Open Access | Times Cited: 2
Unmixing-Guided Convolutional Transformer for Spectral Reconstruction
Shiyao Duan, Jiaojiao Li, Rui Song, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2619-2619
Open Access | Times Cited: 6
A Systematic Review on Crop Yield Prediction Using Machine Learning
Moon Halder, Ayon Datta, K. Siam, et al.
Lecture notes in networks and systems (2023), pp. 658-667
Closed Access | Times Cited: 6
AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve
Nuno César de Sá, Mitra Baratchi, Vincent Buitenhuis, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2164-2183
Open Access | Times Cited: 9
Research Progress on the Application of Crop Yield Calculation based on Image Analysis Technology
Feng Yu, Ming Wang, Jun Xiao, et al.
(2024)
Open Access | Times Cited: 1
Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions
Albino Taer, Erma Taer
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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