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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:

Monitoring Tomato Leaf Disease through Convolutional Neural Networks
Juan Antonio Guerrero Ibáñez, Angélica Reyes
Electronics (2023) Vol. 12, Iss. 1, pp. 229-229
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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
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
XSE-TomatoNet: An Explainable AI based Tomato Leaf Disease Classification Method Using EfficientNetB0 with Squeeze-and-Excitation Blocks and Multi-Scale Feature Fusion
Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, et al.
MethodsX (2025), pp. 103159-103159
Closed Access | Times Cited: 1
BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model
Mohan Bhandari, Tej Bahadur Shahi, Arjun Neupane, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 53-53
Open Access | Times Cited: 34
Plant Disease Diagnosis with Artificial Intelligence (AI)
Muhammad Naveed, Muhammad Majeed, Khizra Jabeen, et al.
Microorganisms for sustainability (2024), pp. 217-234
Closed Access | Times Cited: 10
Pixels to Pathogens: A Deep Learning Approach to Plant Pathology Detection
Ayush Saha, Vandana Sharma, Rana Mondal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 9
“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
Artificial intelligence in plant disease identification: Empowering agriculture
Tanya Garg, Padmanabh Dwivedi, Manoj K. Mishra, et al.
Methods in microbiology (2024), pp. 179-193
Closed Access | Times Cited: 5
OPTIMUM RBM ENCODED SVM MODEL WITH ENSEMBLE FEATURE EXTRACTOR-BASED PLANT DISEASE PREDICTION
Piyush Sharma, Devi Prasad Sharma, Sulabh Bansal
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105319-105319
Closed Access
A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection
Wasswa Shafik, Ali Tufail, Liyanage C. De Silva, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
Hybrid segmentation-based agricultural leaf disease detection (Hy-SALDD) using black widow optimization for feature selection, and Bayesian-optimized SVM classification
Aaditya Jain, Rakesh Dwivedi
International Journal of Information Technology (2025)
Closed Access
AI‐Powered Precision in Diagnosing Tomato Leaf Diseases
MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman
Complexity (2025) Vol. 2025, Iss. 1
Open Access
From Pixels to Diagnosis: Implementing and Evaluating a CNN Model for Tomato Leaf Disease Detection
Zamir Osmenaj, Evgenia-Maria Tseliki, Sofia Kapellaki, et al.
Information (2025) Vol. 16, Iss. 3, pp. 231-231
Open Access
Optimization of Hyperparameters for SVM Classification of Citrus Diseases Using Grid Search and Cross-Validation
Hanae Al Kaddouri, Jalal Blaacha, Hajar Hamdaoui, et al.
Lecture notes in electrical engineering (2025), pp. 489-497
Closed Access
Mobile Application for Tomato Plant Leaf Disease Detection Using a Dense Convolutional Network Architecture
Intan Nurma Yulita, Naufal Ariful Amri, Akik Hidayat
Computation (2023) Vol. 11, Iss. 2, pp. 20-20
Open Access | Times Cited: 12
Effective Tomato Leaf Disease Identification Model using MobileNetV3Small
Mumtaz Qabulio, Muhammad Suleman Memon, Shahid Iqbal, et al.
International Journal of Information Systems and Computer Technologies (2024) Vol. 3, Iss. 1, pp. 57-72
Open Access | Times Cited: 4
Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module
Petra Radočaj, Dorijan Radočaj, Goran Martinović
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 52-52
Open Access | Times Cited: 4
Advancing Plant Diseases Detection with Pre-trained YOLO Models
Boudjemaa Boudaa, Kamel Abada, Walid Aymen Aichouche, et al.
(2024)
Closed Access | Times Cited: 4
Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification
Bodruzzaman Khan, Subhabrata Das, Nafis Shahid Fahim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Role of Artificial Intelligence in Agriculture: An Analysis and Advancements With Focus on Plant Diseases
Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, et al.
IEEE Access (2023) Vol. 11, pp. 137999-138019
Open Access | Times Cited: 10
A Model Proposal for Enhancing Leaf Disease Detection Using Convolutional Neural Networks (CNN)
Moulay Hafid Aabidi, Adil El Makrani, Brahim Jabir, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 12, pp. 127-143
Open Access | Times Cited: 8
MC-ShuffleNetV2: A lightweight model for maize disease recognition
Shaoqiu Zhu, Haitao Gao
Egyptian Informatics Journal (2024) Vol. 27, pp. 100503-100503
Open Access | Times Cited: 2
Empirical Analysis of Deep Learning Models for Tomato Leaf Disease Detection
Shreya Kansal, Arunima Jaiswal, Nitin Sachdeva
(2024), pp. 430-435
Closed Access | Times Cited: 2
Tomato Disease Detection Using Vision Transformer with Residual L1-Norm Attention and Deep Neural Networks

International journal of intelligent engineering and systems (2023) Vol. 17, Iss. 1, pp. 679-688
Open Access | Times Cited: 6
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