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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:

Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 20

Showing 20 citing articles:

Advancing food security through drone-based hyperspectral imaging: applications in precision agriculture and post-harvest management
Debashish Kar, Sambandh Bhusan Dhal
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 1
Evaluation and Early Detection of Downy Mildew of Lettuce Using Hyperspectral Imagery
Songtao Ban, Minglu Tian, Hu Dong, et al.
Agriculture (2025) Vol. 15, Iss. 5, pp. 444-444
Open Access | Times Cited: 1
Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review
Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan Oseledets, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 163-163
Open Access | Times Cited: 8
An exploration of the latest developments, obstacles, and potential future pathways for climate-smart agriculture
Asif Raihan, Mohammad Ridwan, Md. Shoaibur Rahman
Climate smart agriculture. (2024) Vol. 1, Iss. 2, pp. 100020-100020
Open Access | Times Cited: 7
Advancing Food Security: The Role of Machine Learning in Pathogen Detection
Helen Onyeaka, Adenike A. Akinsemolu, Taghi Miri, et al.
Applied Food Research (2024), pp. 100532-100532
Open Access | Times Cited: 4
Refinement of Machine learning models for hyperspectral imaging data in Gastrodia elata analysis
Wei Zhang, Shuang Hu, Qi Zhang, et al.
Microchemical Journal (2025), pp. 112726-112726
Open Access
A Decision Support System for Wheat Powdery Mildew Risk Prediction Using Weather Monitoring, Machine Learning and Explainable Artificial Intelligence
Grygorii Diachenko, Іvan Laktionov, Oleksandr Vinyukov, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109905-109905
Closed Access
Effective Tomato Spotted Wilt Virus Resistance Assessment Using Non-Destructive Imaging and Machine Learning
Sang Gyu Kim, Sang-Deok Lee, Woo-Moon Lee, et al.
Horticulturae (2025) Vol. 11, Iss. 2, pp. 132-132
Open Access
AI Algorithms in the Agrifood Industry: Application Potential in the Spanish Agrifood Context
Javier Marcos Arévalo, Francisco Javier Flor Montalvo, Juan-Ignacio Latorre-Biel, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2096-2096
Open Access
Propuesta de un método computacional para la detección de asbesto en imágenes hiperespectrales a partir de la similitud diferencial espectral
Gabriel Elías Chanchí Golondrino, Manuel Saba, Manuel Alejandro Ospina Alarcón
REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (2025) Vol. 1, Iss. 45, pp. 195-203
Open Access
Spectral imaging in crop monitoring and disease diagnosis: A comprehensive review
Salah‐Eddine Laasli, Fouad Mokrini, Amal Hari, et al.
CABI Reviews (2025)
Closed Access
ARM-Net: A Tri-Phase Integrated Network for Hyperspectral Image Compression
Qizhi Fang, Zixuan Wang, Jingang Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1843-1843
Open Access
Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms
Pavel Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 90-90
Open Access
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-2
Tatenda Dzurume, Roshanak Darvishzadeh, Timothy Dube, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104516-104516
Closed Access
Small-Sample Authenticity Identification and Variety Classification of Anoectochilus Roxburghii (Wall.) Lindl. Using Hyperspectral Imaging and Machine Learning
Yiqing Xu, Haoyuan Ding, Tingsong Zhang, et al.
Plants (2025) Vol. 14, Iss. 8, pp. 1177-1177
Open Access
Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases
Archna Goyal, Kamlesh Lakhwani
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
Materials (2024) Vol. 17, Iss. 20, pp. 5056-5056
Open Access
Target Detection and Characterization of Multi-Platform Remote Sensing Data
Koushikey Chhapariya, Emmett J. Ientilucci, Krishna Mohan Buddhiraju, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4729-4729
Open Access
Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing
Po-Tong Wang, Chiu Wang Tseng, Li-Der Fang
Sensors (2024) Vol. 25, Iss. 1, pp. 128-128
Open Access
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