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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:

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: 16

Showing 16 citing articles:

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 8
DM-YOLO: improved YOLOv9 model for tomato leaf disease detection
Abudukelimu Abulizi, Junli Ye, Halidanmu Abudukelimu, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access | Times Cited: 3
Exploring Deep Learning Approaches for Detecting Nutritional Deficiencies in Crop Leaves: A Comprehensive Overview
Lalita Randive, Shubhangi Sapkal
SSRN Electronic Journal (2025)
Closed Access
Advancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring
Ruijun Qin, Yiming Wang, Xiaoping Xiao, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
M. Mohan, S. Anandamurugan
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
Detection of Small-Sized Electronics Endangering Facilities Involved in Recycling Processes Using Deep Learning
Zizhen Liu, Shunki Kasugaya, Nozomu Mishima
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2835-2835
Open Access
Passion Fruit Disease Detection Using Sparse Parallel Attention Mechanism and Optical Sensing
Yajie He, Ningyi Zhang, Xiangyu Ge, et al.
Agriculture (2025) Vol. 15, Iss. 7, pp. 733-733
Open Access
Artificial intelligence assisted tomato plant monitoring system – An experimental approach based on universal multi-branch general-purpose convolutional neural network
Md. Parvez Islam, K. Hatou
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109201-109201
Closed Access | Times Cited: 1
Image Processing of Big Data for Plant Diseases of Four Different Plant Categories
Richard S. Segall, Prasanna Rajbhandari
International Journal of Computer Vision and Image Processing (2024) Vol. 14, Iss. 1, pp. 1-32
Open Access | Times Cited: 1
Modified ensemble machine learning-based plant leaf disease detection model with optimized K-Means clustering
Vijay Viswanathan, Krishnamoorthi Murugasamy
Network Computation in Neural Systems (2024), pp. 1-45
Closed Access | Times Cited: 1
Deep Learning Applications for Real-Time and Early Detection of Fall Armyworm, African Armyworm, and Maize Stem Borer
Ivan Oyege, Harriet Sibitenda, B. B. Maruthi Sridhar
Machine Learning with Applications (2024), pp. 100596-100596
Open Access | Times Cited: 1
Plant pest and disease lightweight identification model by fusing tensor features and knowledge distillation
Xiaoli Zhang, Kun Liang, Yiying Zhang
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Mob-psp: modified MobileNet-V2 network for real-time detection of tomato diseases
Hengmiao Qiu, Jingmin Yang, Juan Jiang, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 5
Closed Access
YOLOv5s-ECCW: A Lightweight Detection Model for Sugarcane Smut in Natural Environments
Min Yu, Fengbing Li, Xiu‐Peng Song, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2327-2327
Open Access
A Real-Time Tracking System for Bread Production Based on YOLOv8 and DeepSORT
Halil Ibrahim Sisman, Emin Güney, Cüneyt Bayılmış
Lecture notes in networks and systems (2024), pp. 469-479
Closed Access
Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
Richard S. Segall, Shigeru Takahashi, Prasanna Rajbhandari
International Journal of Applied Research in Bioinformatics (2024) Vol. 13, Iss. 1, pp. 1-22
Open Access
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