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:

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

Showing 1-25 of 28 citing articles:

A Deep Dive into Precision Horticulture: Unravelling Olive Peacock Spot Intensity with Hybrid Deep Learning
Deepak Banerjee, Neha Sharma, Rahul Chauhan, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 6

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

Advancing Sustainable Agriculture Through Digital Technology: The Role of the ‘Agricultural Guide’ App in Improving Olive Farming Practices in Saudi Arabia
Abdulmalek Naji Alsanhani, Mohammad Shayaa Al-Shayaa, Abdulaziz Thabet Dabiah, et al.
Sustainability (2025) Vol. 17, Iss. 6, pp. 2340-2340
Open Access

An effective feature extraction method for olive peacock eye leaf disease classification
Aykut Di̇ker, Abdullah Elen, Cemil Közkurt, et al.
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 287-299
Closed Access | Times Cited: 7

Hydroponic lettuce defective leaves identification based on improved YOLOv5s
Xin Jin, Haowei Jiao, Chao Zhang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7

Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-Trained Deep Learning Models
Mahmood A. Mahmood, Khalaf Alsalem
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3431-3448
Open Access | Times Cited: 2

Efficient deep learning architecture for the classification of diseased plant leaves
Muniyandi Sadhasivam, M. Kalaiselvi Geetha, James Gladson Maria Britto
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 198-198
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

TeenyNet: a novel lightweight attention model for sunflower disease detection
Yi Zhong, Mengjun Tong
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035701-035701
Closed Access | Times Cited: 3

Highly Accurate Deep Learning Model for Olive Leaf Disease Classification: A Study in Tacna-Per´u
Erbert F. Osco Mamani, Israel N. Chaparro-Cruz
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 4
Open Access | Times Cited: 2

Employing a hybrid lion-firefly algorithm for recognition and classification of olive leaf disease in Saudi Arabia
Hamoud Alshammari, Abdulrahman Alzahrani
Alexandria Engineering Journal (2023) Vol. 84, pp. 215-226
Open Access | Times Cited: 2

Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery
El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 891-891
Open Access | Times Cited: 2

Early detection of sepsis using machine learning algorithms
Rasha M. Abd El-Aziz, Alanazi Rayan
Alexandria Engineering Journal (2024) Vol. 111, pp. 47-56
Open Access

Revolutionizing Plant Disease Detection in Leaves: An Innovative Hybrid ABOCNN Framework for Advanced and Accurate Identification
Vineel Pratap, N. Suresh Kumar
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access

An intelligent deep residual learning framework for tomato plant leaf disease classification
Gangadevi Ezhilarasan, R. Shobarani, Lawanya Shri Mani, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3168-3168
Open Access

Enhancing efficiency in agriculture: densely connected convolutional neural network for smart farming
Aparna Sivaraj, P. Valarmathie, K. Dinakaran, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 6469-6480
Closed Access

Image Super Resolution Using Extensive Residual Network (ERN) for Orange Fruit Disease Detection
P. V. Yeswanth, K. M. N. V. Srikanth, Chegrik Cherian B. Marak, et al.
Lecture notes in networks and systems (2024), pp. 47-58
Closed Access

Transfer learning model for plant disease detection using VGG-16 on tomato crop
Rishabh Mudgil, Nidhi Garg, Preeti Sharma, et al.
AIP conference proceedings (2024) Vol. 3232, pp. 050015-050015
Closed Access

Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence
Youssef Lebrini, Alicia Ayerdi Gotor
Agronomy (2024) Vol. 14, Iss. 11, pp. 2719-2719
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

A hypergraph cell membrane computing network model for soybean disease identification
Yourui Huang, Hongping Song, Tao Han, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image
Madaín Pérez‐Patricio, J. A. de Jesús Osuna-Coutiño, Germán Ríos-Toledo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7860-7860
Open Access

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