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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:

FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
Emmanuel Moupojou, Appolinaire Tagne, Florent Retraint, et al.
IEEE Access (2023) Vol. 11, pp. 35398-35410
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Tomato leaf disease detection based on attention mechanism and multi-scale feature fusion
Yong Wang, P. Zhang, Shuang Tian
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 11
An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network
Bathula Nagachandrika, R. Prasath, Praveen Joe I R
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106316-106316
Closed Access | Times Cited: 8
Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
Gideon Sadikiel Mmbando
Cogent Food & Agriculture (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
An Accurate Plant Disease Detection Technique Using Machine Learning
Sai Sharvesh R, Suresh Kumar K, Chandrasekharan Raman
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 4
Segment Anything Model and Fully Convolutional Data Description for Plant Multi-Disease Detection on Field Images
Emmanuel Moupojou, Florent Retraint, Hyppolite Tapamo, et al.
IEEE Access (2024) Vol. 12, pp. 102592-102605
Open Access | Times Cited: 4
Deep learning model for plant disease detection based on visual analysis of leaf infestation area
Otari Didmanidze, M. Yu. Karelina, V. V. Filatov, et al.
The European Physical Journal Special Topics (2025)
Closed Access
Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach
Manjunatha Shettigere Krishna, Pedro Machado, Richard I. Otuka, et al.
J — Multidisciplinary Scientific Journal (2025) Vol. 8, Iss. 1, pp. 4-4
Open Access
CONF-RCNN: a conformer and faster region-based convolutional neural network model for multi-label classification of tomato leaves disease in real field environment
Shashank Yadav, Anand Shanker Tewari
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 2
Closed Access
Resource constraint crop damage classification using depth channel shuffling
Md. Tanvir Islam, Safkat Shahrier Swapnil, Md Mashum Billal, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110117-110117
Closed Access
Intelligent contextual attention mechanism of region of interest based network model for leaf disease segmentation and classification
R. Sudhakar, R. Sivaraj, M. Vijayakumar
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107630-107630
Closed Access
Algorithms for Plant Monitoring Applications: A Comprehensive Review
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 84-84
Open Access
Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision
Esra Yılmaz, Sevim Ceylan Bocekci, Cengiz Şafak, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
Technologies for On‐Site Detection of Plant Pests and Pathogens: An Assessment of Their Benefits and Barriers to Deployment
Ashleigh J. Elliott, Michael D. Parr, Ines Vazquez‐Iglesias, et al.
Annual Plant Reviews online (2025), pp. 199-224
Closed Access
Leaf Alert: A Systematic Rapid Plant Disease Detection
Shaikh Amin Farooqbhai, Ujjwal Laad, Sudarshan Arzare, et al.
(2025), pp. 231-237
Closed Access
Multi-defect detection and classification for aluminum alloys with enhanced YOLOv8
Ying Han, Xiaolong Li, Gongxiang Cui, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0316817-e0316817
Open Access
Cotton and Soybean Plant Leaf Dataset Generation for Multiclass Disease Classification
Vaishali G. Bhujade, Vijay Sambhe, Biplab Banerjee
Journal of Phytopathology (2025) Vol. 173, Iss. 2
Closed Access
Artificial intelligence for sustainable farming with dual branch convolutional graph attention networks in rice leaf disease detection
Ramesh Raman, Sangeetha Jayaraman
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
PLANT Detect Net: a hybrid IoT and deep learning framework for secure plant disease detection and classification
Pradeep Gupta, Rakesh Singh Jadon
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
Enhancing crop disease recognition via prompt learning-based progressive Mixup and Contrastive Language-Image Pre-training dynamic calibration
Hao Chen, Haidong Li, Jinling Zhao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110805-110805
Closed Access
Detection of plant leaf disease using advanced deep learning architectures
Rakhee Sharma, Mamta Mittal, Vedika Gupta, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 6, pp. 3475-3492
Closed Access | Times Cited: 3
Application of machine vision in food computing: A review
Zhiyao Zhao, Rong Wang, Minghao Liu, et al.
Food Chemistry (2024) Vol. 463, pp. 141238-141238
Closed Access | Times Cited: 3
Plant disease recognition datasets in the age of deep learning: challenges and opportunities
Mingle Xu, Ji Eun Park, John J. Lee, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat–Barley vision dataset: challenges and solutions
Jyoti Nagpal, Lavika Goel, P. S. Shekhawat
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 2
A stacked deep learning approach for multiclass classification of plant diseases
Aman Sharma, Raghav Dalmia, Aarush Saxena, et al.
Plant and Soil (2024)
Closed Access | Times Cited: 2
Early Accurate Identification of Grape leaf Disease Detection using CNN based VGG-19 model
Prathiksha BJ, Vijaya Kumar T, M. Krishnamoorthi, et al.
(2024), pp. 263-269
Closed Access | Times Cited: 2
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