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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:

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 1-25 of 45 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
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 34
Hyperspectral imaging and its applications: A review
Anuja Bhargava, Ashish Sachdeva, Kulbhushan Sharma, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e33208-e33208
Open Access | Times Cited: 23
A Review on UAV-Based Applications for Plant Disease Detection and Monitoring
Louis Kouadio, Moussa El Jarroudi, Zineb Belabess, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4273-4273
Open Access | Times Cited: 32
GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification
R. Karthik, R. Menaka, S. Ompirakash, et al.
IEEE Access (2024) Vol. 12, pp. 19612-19624
Open Access | Times Cited: 6
Limitations of a Multispectral UAV Sensor for Satellite Validation and Mapping Complex Vegetation
Brendan Cottrell, Margaret Kalácska, Juan-Pablo Arroyo-Mora, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2463-2463
Open Access | Times Cited: 5
Advances in the tea plants phenotyping using hyperspectral imaging technology
Baidong Luo, Hong-Wei Sun, Leilei Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Predicting spatial and temporal variability in soybean yield using deep learning and open source data
Deborah V. Gaso, Laura Elena Cué La Rosa, Laila A. Puntel, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127498-127498
Open Access
Potential in detection of cereal yellow dwarf virus in cereals through VisNIR spectroscopy
Dhahi Al-Shammari, C. Birchall, Edward J. Jones
Canadian Journal of Plant Pathology (2025), pp. 1-14
Open Access
Investigation of Peanut Leaf Spot Detection Using Superpixel Unmixing Technology for Hyperspectral UAV Images
Qiang Guan, Shicheng Qiao, Shuai Feng, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 597-597
Open Access
A Survey on UAV Applications in Smart City Management: Challenges, Advances, and Opportunities
Haoran Xu, Lizhe Wang, Wei Han, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8982-9010
Open Access | Times Cited: 14
A Review on Plant Disease Detection Using Hyperspectral Imaging
Rakiba Rayhana, Zhenyu Ma, Zheng Liu, et al.
IEEE Transactions on AgriFood Electronics (2023) Vol. 1, Iss. 2, pp. 108-134
Closed Access | Times Cited: 13
Multimodal deep fusion model based on Transformer and multi-layer residuals for assessing the competitiveness of weeds in farmland ecosystems
Zhaoxia Lou, Longzhe Quan, Deng Sun, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103681-103681
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
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
Combined Structural and Functional 3D Plant Imaging Using Structure from Motion
Alim Yolalmaz, Jos de Wit, Jeroen Kalkman
Sensors (2025) Vol. 25, Iss. 5, pp. 1572-1572
Open Access
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
From sensor fusion to knowledge distillation in collaborative LIBS and hyperspectral imaging for mineral identification
Tomás Lopes, Diana Capela, Diana Guimarães, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Integrated Management of the Cotton Charcoal Rot Disease Using Biological Agents and Chemical Pesticides
Ofir Degani, Assaf Chen, Elhanan Dimant, et al.
Journal of Fungi (2024) Vol. 10, Iss. 4, pp. 250-250
Open Access | Times Cited: 2
Adaptive feature selection for hyperspectral image classification based on Improved Unsupervised Mayfly optimization Algorithm
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4145-4159
Closed 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
Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms
Peng Zhang, Zhichao Wang, Yuan James Rao, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 588-588
Open Access | Times Cited: 6
Using Image Processing and Deep Learning Techniques Detect and Identify Pomegranate Leaf Diseases
Prashant Wakhare, S. Neduncheliyan
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 18, pp. 1323-1331
Open Access | Times Cited: 6
Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection
Muhammad Shoaib, Babar Shah, Nasir Sayed, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Detection of Coffee Leaf Diseases using DenseNet-264 and SLIC Segmentation
Savitri Kulkarni, H N Shravan, M V Veeresh, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 769-774
Closed Access | Times Cited: 5
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