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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:

Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction
Prabhjot Kaur, Shilpi Harnal, Rajeev Tiwari, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 575-575
Open Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
Gourav Bathla, Kishor V. Bhadane, Rahul Kumar Singh, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-36
Open Access | Times Cited: 122
Smart Agriculture Applications Using Deep Learning Technologies: A Survey
Maha Altalak, Mohammad Ammad Uddin, Amal Alajmi, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 5919-5919
Open Access | Times Cited: 87
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
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis
Zhe Liu, Shuzhe Wang, Yudong Zhang, et al.
Foods (2023) Vol. 12, Iss. 6, pp. 1242-1242
Open Access | Times Cited: 57
Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 48
Recent advances in plant disease severity assessment using convolutional neural networks
Tingting Shi, Yongmin Liu, Xinying Zheng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 43
A Survey on Deep Learning and Its Impact on Agriculture: Challenges and Opportunities
Marwan Ali Albahar
Agriculture (2023) Vol. 13, Iss. 3, pp. 540-540
Open Access | Times Cited: 42
Detection and identification of plant leaf diseases using YOLOv4
Eman Abdullah Aldakheel, Mohammed Zakariah, Amira H. Alabdalall
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 15
An Early and Smart Detection of Corn Plant Leaf Diseases Using IoT and Deep Learning Multi-Models
Rubina Rashid, Waqar Aslam, Romana Aziz, et al.
IEEE Access (2024) Vol. 12, pp. 23149-23162
Open Access | Times Cited: 14
Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7
Muhammad Umar, Saud Altaf, Shafiq Ahmad, et al.
IEEE Access (2024) Vol. 12, pp. 49167-49183
Open Access | Times Cited: 14
Enhancing Paddy Leaf Disease Diagnosis -a Hybrid CNN Model using Simulated Thermal Imaging
Jagamohan Padhi, Kunal Mishra, Ashoka Kumar Ratha, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100814-100814
Open Access | Times Cited: 1
Design an Artificial Intelligence Based Machine Learning Framework for Improving Health Care Management
Vidhu Kiran Sharma, Susheela Hooda
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access | Times Cited: 1
Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network
Waleed Albattah, Ali Javed, Marriam Nawaz, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 54
A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT-Based Monitoring
Maryam Saberi Anari
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 50
Smart Strawberry Farming Using Edge Computing and IoT
Mateus R. da Cruz, Samuel Mafra, Eduardo Teixeira, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5866-5866
Open Access | Times Cited: 47
MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases
Amel Ksibi, Manel Ayadi, Ben Othman Soufiene, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10278-10278
Open Access | Times Cited: 41
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
Identification of olive leaf disease through optimized deep learning approach
Hamoud Alshammari, Ahmed I. Taloba, Osama R. Shahin
Alexandria Engineering Journal (2023) Vol. 72, pp. 213-224
Open Access | Times Cited: 28
DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Isaac Ritharson. P, Kumudha Raimond, X. Anitha Mary, et al.
Artificial Intelligence in Agriculture (2023) Vol. 11, pp. 34-49
Open Access | Times Cited: 28
Recognition of Sunflower Diseases Using Hybrid Deep Learning and Its Explainability with AI
Promila Ghosh, Amit Kumar Mondal, Sajib Chatterjee, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2241-2241
Open Access | Times Cited: 21
A Systematic Review of Different Categories of Plant Disease Detection Using Deep Learning-Based Approaches
Yogesh Kumar, Rupinder Singh, Manu Raj Moudgil, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4757-4779
Closed Access | Times Cited: 21
Apple Varieties Classification Using Deep Features and Machine Learning
Alper Taner, Mahtem Teweldemedhin Mengstu, K. Selvi, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 252-252
Open Access | Times Cited: 12
Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture
T. Akilan, K. M. Baalamurugan
Expert Systems with Applications (2024) Vol. 249, pp. 123468-123468
Closed Access | Times Cited: 9
Time and Space Efficient Multi-Model Convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds
Ankita Gangwar, Vijaypal Singh Dhaka, Geeta Rani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 117-142
Open Access | Times Cited: 9
Detection of plant leaf diseases using deep convolutional neural network models
Puja Singla, K. Vijaya, Ramalingam Senthil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 64533-64549
Closed Access | Times Cited: 8
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