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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:

A novel approach for image-based olive leaf diseases classification using a deep hybrid model
Hicham El Akhal, A. Yahya, Noureddine Moussa, et al.
Ecological Informatics (2023) Vol. 77, pp. 102276-102276
Closed Access | Times Cited: 13

Showing 13 citing articles:

Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants
James Daniel Omaye, Emeka Ogbuju, Grace Ataguba, et al.
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 127-151
Open Access | Times Cited: 6
Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 6
Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver
Nabeela Anwar, Muhammad Asif Zahoor Raja, Nabeela Anwar, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109707-109707
Closed Access
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus
Tisha Chawla, Shubh Mittal, Hiteshwar Kumar Azad
Ecological Informatics (2024) Vol. 81, pp. 102548-102548
Open Access | Times Cited: 4
Review—Unveiling the Power of Deep Learning in Plant Pathology: A Review on Leaf Disease Detection
Madhu Bala, Sushil Kumar
ECS Journal of Solid State Science and Technology (2024) Vol. 13, Iss. 4, pp. 047003-047003
Open Access | Times Cited: 2
LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases
Jianlei Kong, Yang Xiao, Xue‐Bo Jin, et al.
Agriculture (2023) Vol. 13, Iss. 11, pp. 2080-2080
Open Access | Times Cited: 6
PlanteSaine: An Artificial Intelligent Empowered Mobile Application for Pests and Disease Management for Maize, Tomato, and Onion Farmers in Burkina Faso
Obed Appiah, Kwame Oppong Hackman, Belko Diallo, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1252-1252
Open Access | Times Cited: 1
FLVAEGWO‐CNN: Grey Wolf Optimisation‐Based CNN for Classification of Olive Leaf Disease via Focal Loss Variational Autoencoder
Kaloma Usman Majikumna, Mhamed Zineddine, A. El Alaoui
Journal of Phytopathology (2024) Vol. 172, Iss. 6
Closed Access | Times Cited: 1
Mobile-Xcep hybrid model for plant disease diagnosis
Diana Susan Joseph, Pranav M. Pawar
Multimedia Tools and Applications (2024)
Closed Access
Plant Disease Recognition: A Comprehensive Mini Review
Youssef Natij, Ayyad Maafiri, H Karch, et al.
(2024) Vol. 1, pp. 1-8
Closed Access
Investigating a Spectrum of Machine Learning Methods for Leaf Disease Detection in Pepper, Potato, and Tomato
Madhu Bala, Sushil Kumar
ECS Journal of Solid State Science and Technology (2024) Vol. 13, Iss. 10, pp. 107003-107003
Open Access
Positive discrimination of minority classes through data generation and distribution: A case study in olive disease classification
Hicham El Akhal, A. Yahya, Abdelbaki El Belrhiti El Alaoui
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109646-109646
Closed Access
An Efficiency CNN Solution for Olive Disease Management Through FPGA
Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, et al.
(2023)
Closed Access | Times Cited: 1
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