Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review
Lukas Wiku Kuswidiyanto, Hyun Ho Noh, Xiongzhe Han
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6031-6031
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Machine Learning in UAV-Assisted Smart Farming
Simeon Okechukwu Ajakwe, Nkechi Esomonu, Opeyemi Deji-Oloruntoba, et al.
Advances in computational intelligence and robotics book series (2024), pp. 217-245
Closed Access | Times Cited: 1
Water Wheel Plant Dingo Optimizer enabled Deep Convolutional Neural Network for disease detection using hyperspectral leaf image
S. Swaraj, S. Aparna
Infrared Physics & Technology (2024) Vol. 142, pp. 105522-105522
Closed Access | Times Cited: 1
Detection of a vascular wilt disease in potato (‘Blackleg’) based on UAV hyperspectral imagery: Can structural features from LiDAR or SfM improve plant-wise classification accuracy?
Marston Héracles Domingues Franceschini, Benjamin Brede, Jan Kamp, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109527-109527
Open Access | Times Cited: 1
Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle Image
Antonella Belmonte, Giovanni Gadaleta, Annamaria Castrignanò
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 656-656
Open Access | Times Cited: 4
FCAE-AD: Full Convolutional Autoencoder Based on Attention Gate for Hyperspectral Anomaly Detection
Xianghai Wang, Yihan Wang, Zhenhua Mu, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4263-4263
Open Access | Times Cited: 4
Low Pixel Resolution Hyperspectral Image Mosaics Generation Using Learning-Based Feature Matching
Chamika Janith Perera, Chinthaka Premachandra, Hiroharu Kawanaka
IEEE Access (2023) Vol. 11, pp. 104084-104093
Open Access | Times Cited: 2
Classification of Corn Leaf Images using Pre-Trained Deep Learning Schemes: A Study
K Sangamithrai, V. Rajinikanth
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2023), pp. 1-5
Closed Access | Times Cited: 2
Automatic foliar spot detection from low-cost RGB digital images using a hybrid approach of convolutional neural network and random forest classifier
Jaime Carlos Macuácua, Jorge António Silva Centeno, Caisse Amisse, et al.
Boletim de Ciências Geodésicas (2024) Vol. 30
Open Access
Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band Remote Sensing Systems
Jingcheng Zhang, Xingjian Zhou, Dong Shen, et al.
Phyton (2024) Vol. 93, Iss. 4, pp. 745-762
Open Access
An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases
A. S. Tolba, Nourhan Talal
Optimization in agriculture. (2024) Vol. 1, pp. 81-93
Open Access
C-MAN: A Multi-attention Approach for Precise Plant Species Classification and Disease Detection Using Multi-scale, Channel-Wise, and Cross-Modal Attentions
Pulicherla Siva Prasad, Senthilrajan Agniraj
Traitement du signal (2024) Vol. 41, Iss. 3, pp. 1231-1243
Open Access
Machine learning–assisted multispectral and hyperspectral imaging
Seung-Chul Yoon, Nader Ekramirad
Elsevier eBooks (2024), pp. 227-258
Closed Access
Deep - Transfer Learning for Multi-Crop Leaf Disease prediction using ResNet and ConvNet
M. Dhilsath Fathima, Akash Gupta, Kartik Jain
(2024), pp. 1-6
Closed Access
Optimized Strategy for Rice Plant Disease Detection Using Convolutional Neural Networks
R. Rajakumar, D Vaishnavi, R. Ramesh, et al.
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 7, pp. 208-219
Open Access
Paddy Crop Disease Prediction—A Detailed Review on Image Processing Techniques
Bruce Johnson, T. Chandrakumar
Lecture notes in networks and systems (2024), pp. 561-582
Closed Access
A Study on Leveraging Unmanned Aerial Vehicle Collaborative Driving and Aerial Photography Systems to Improve the Accuracy of Crop Phenotyping
Kangbeen Lee, Xiongzhe Han
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3903-3903
Open Access | Times Cited: 1
115. Plant health assessment with thermal and multi-spectral UAV imagery in winter rye crops
Marius Hobart, Antje Giebel, Michael Schirrmann
Precision Agriculture (2023), pp. 917-923
Closed Access
Study on the automatic detection of pepper TSWV disease based on ResNet
Shibei Ming
Theoretical and Natural Science (2023) Vol. 24, Iss. 1, pp. 218-228
Closed Access
An Efficient Detection and Classification of Plant Diseases using Deep Learning Approach
S Jagadeesan, E. Deepakraj, Venkadeshan Ramalingam, et al.
(2023), pp. 1-6
Closed Access
AgroVision: Advancing Agricultural Insights with Image-Based Deep Learning Techniques
Jyoti Kanjalkar, Pramod Kanjalkar, Aakash Matkar, et al.
(2023), pp. 1-8
Closed Access
Previous Page - Page 2

Scroll to top