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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:

Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models
A. Narmilan, Felipé Gonzalez, Arachchige Surantha Ashan Salgadoe, et al.
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6137-6137
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2450-2450
Open Access | Times Cited: 110
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, et al.
Ecological Informatics (2023) Vol. 78, pp. 102305-102305
Closed Access | Times Cited: 64
Machine Learning Applications in Agriculture: Current Trends, Challenges, and Future Perspectives
Sara Oleiro Araújo, Ricardo Silva Peres, José C. Ramalho, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 2976-2976
Open Access | Times Cited: 59
Improved Apple Fruit Target Recognition Method Based on YOLOv7 Model
Huawei Yang, Yinzeng Liu, Shaowei Wang, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1278-1278
Open Access | Times Cited: 34
A deep learning model for rapid classification of tea coal disease
Yang Xu, Yilin Mao, Li He, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 18
Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments
A. Narmilan, Fernando Vanegas, Melissa Hele, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1582-1582
Open Access | Times Cited: 6
Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI
Damini Raniga, A. Narmilan, Juan Sandino, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1063-1063
Open Access | Times Cited: 5
EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection
Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109927-109927
Closed Access
Digital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models
Juan José Mora, Guy Blomme, Nancy Safari, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques
A. Narmilan, K.S. Powell, Juan Sandino, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104413-104413
Open Access
What Is the Predictive Capacity of Sesamum indicum L. Bioparameters Using Machine Learning with Red–Green–Blue (RGB) Images?
Edimir Xavier Leal Ferraz, Alan Cézar Bezerra, Raquele Mendes de Lira, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 64-64
Open Access
Advancements in crop mapping through remote sensing: A comprehensive review of concept, data sources, and procedures over four decades
Iman Khosravi
Remote Sensing Applications Society and Environment (2025), pp. 101527-101527
Closed Access
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning
A. Narmilan, Mark Hamilton, J. Kelly, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1633-1633
Open Access | Times Cited: 13
Automatic Counting and Location Labeling of Rice Seedlings from Unmanned Aerial Vehicle Images
Jui‐Feng Yeh, Kuei-Mei Lin, Li-Ching Yuan, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 273-273
Open Access | Times Cited: 4
A survey of unmanned aerial vehicles and deep learning in precision agriculture
Dashuai Wang, Minghu Zhao, Zhuolin Li, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127477-127477
Closed Access | Times Cited: 4
Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 11
New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models
Pauline Ong, Jinbao Jian, Xiuhua Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 302, pp. 123037-123037
Closed Access | Times Cited: 10
Sugarcane Diseases Detection using the Improved Grey Wolf Optimization Algorithm with Convolution Neural Network
Davesh Kumar Sharma, Pushpendra Singh, Akash Punhani
International Journal of experimental research and review (2024) Vol. 38, pp. 246-254
Open Access | Times Cited: 3
Enhancing Sugarcane Crop Health: CNN and SVM-Based Predictive Analysis of Leaf Diseases
Shivanshi Singh, Deepak Banerjee, Rahul Chauhan, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning
Juan José Mora, Michael Gomez Selvaraj, César Iván Álvarez Mendoza, et al.
Deleted Journal (2024) Vol. 6, Iss. 7
Open Access | Times Cited: 3
The Evaluation of the Grade of Leaf Disease in Apple Trees Based on PCA-Logistic Regression Analysis
Bingqian Xing, Dian Wang, Tianzhen Yin
Forests (2023) Vol. 14, Iss. 7, pp. 1290-1290
Open Access | Times Cited: 9
Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
Jianghao Yuan, Yangliang Zhang, Zuojun Zheng, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 559-559
Open Access | Times Cited: 2
Sugarcane Diseases Detection Using Optimized Convolutional Neural Network with Enhanced Environmental Adaptation Method
Davesh Kumar Sharma, Pushpendra Singh, Akash Punhani
International Journal of experimental research and review (2024) Vol. 41, Iss. Spl Vol, pp. 55-71
Open Access | Times Cited: 2
Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset
Guilherme Pires Silva de Almeida, Leonardo Nazário Silva dos Santos, Leandro Rodrigues da Silva Souza, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2194-2194
Open Access | Times Cited: 2
Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review
Josef Augusto Oberdan Souza Silva, Vilson Soares de Siqueira, Márcio Mesquita, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2697-2697
Open Access | Times Cited: 2
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