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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:

Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, et al.
IEEE Access (2022) Vol. 10, pp. 68868-68884
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification
Jameer Kotwal, Ramgopal Kashyap, M. M. Pathan
Multimedia Tools and Applications (2023)
Closed Access | Times Cited: 96
Plant disease detection and classification techniques: a comparative study of the performances
Wubetu Barud Demilie
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 63
Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA DeepNet
Kyamelia Roy, Sheli Sinha Chaudhuri, Jaroslav Frnda, et al.
IEEE Access (2023) Vol. 11, pp. 14983-15001
Open Access | Times Cited: 61
Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection
Omneya Attallah
Horticulturae (2023) Vol. 9, Iss. 2, pp. 149-149
Open Access | Times Cited: 58
ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture
Utpal Barman, Parismita Sarma, Mirzanur Rahman, et al.
Agronomy (2024) Vol. 14, Iss. 2, pp. 327-327
Open Access | Times Cited: 25
A VGG-19 Model with Transfer Learning and Image Segmentation for Classification of Tomato Leaf Disease
Nguyễn Thanh Hải, Thanh-Nghia Nguyen, Ba-Viet Ngo
AgriEngineering (2022) Vol. 4, Iss. 4, pp. 871-887
Open Access | Times Cited: 48
MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases
Momina Masood, Marriam Nawaz, Tahira Nazir, et al.
IEEE Access (2023) Vol. 11, pp. 52862-52876
Open Access | Times Cited: 33
A general-purpose edge-feature guidance module to enhance vision transformers for plant disease identification
Baofang Chang, Yuchao Wang, Xiaoyan Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121638-121638
Closed Access | Times Cited: 26
A novel hierarchical framework for plant leaf disease detection using residual vision transformer
Sasikala Vallabhajosyula, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli
Heliyon (2024) Vol. 10, Iss. 9, pp. e29912-e29912
Open Access | Times Cited: 9
An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network
Bathula Nagachandrika, R. Prasath, I. R. Praveen Joe
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106316-106316
Closed Access | Times Cited: 8
Using a Hybrid Convolutional Neural Network with a Transformer Model for Tomato Leaf Disease Detection
Zhichao Chen, Guoqiang Wang, Tao Lv, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 673-673
Open Access | Times Cited: 7
Model Selection of Hybrid Feature Fusion for Coffee Leaf Disease Classification
Muhamad Faisal, Jenq‐Shiou Leu, Jeremie Theddy Darmawan
IEEE Access (2023) Vol. 11, pp. 62281-62291
Open Access | Times Cited: 19
“Tomato-Village”: a dataset for end-to-end tomato disease detection in a real-world environment
Mamta Gehlot, Rakesh Saxena, Geeta Chhabra Gandhi
Multimedia Systems (2023) Vol. 29, Iss. 6, pp. 3305-3328
Closed Access | Times Cited: 18
A systematic review of open data in agriculture
Jorge Chamorro-Padial, Roberto Garcı́a, Rosa Gil
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108775-108775
Open Access | Times Cited: 5
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
IoT-Enhanced Tomato Leaf Disease Identification Using MLP-Mixer in Agricultural Environments
Besma Rabhi, Habib Dhahri, Imen Jdey, et al.
Smart innovation, systems and technologies (2025), pp. 425-435
Closed Access
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
A Hybrid Learning Model for Tomato Plant Disease Detection using Deep Reinforcement Learning with Transfer Learning
Kadambari Raghuram, Malaya Dutta Borah
Procedia Computer Science (2025) Vol. 252, pp. 341-354
Open Access
Comparative Study of Pruned CNN Models for Tomato and Potato Disease Classification
Akshay Dheeraj, Satish Chand, Aditya Raj
Lecture notes in electrical engineering (2025), pp. 209-221
Closed 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
Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review
Aritra Das, Fahad Pathan, Jamin Rahman Jim, et al.
Artificial Intelligence in Agriculture (2025) Vol. 15, Iss. 2, pp. 192-220
Open Access
Adapting VGG16: Exploring Strategies for Real-World Image Classification Challenges using CIFAR-10 to CIFAR-100

Research Square (Research Square) (2025)
Closed Access
Adversarial Learning for Image Generation: A Comprehensive Study on GANs using TensorFlow and Keras with MNIST Dataset

Research Square (Research Square) (2025)
Closed Access
Accuracy enhancement plant disease detection using CNN algorithm
K. Perumal, Harshini Vutharadi, Supriya Kondeti, et al.
AIP conference proceedings (2025) Vol. 3281, pp. 030058-030058
Closed Access
Gaussian regressed generative adversarial network based hermitian extreme gradient boosting for plant leaf disease detection
S. Prakadeswaran, A. Shavar Banu
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107761-107761
Closed Access
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