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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:

Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification
Saleh Albahli, Momina Masood
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 15

Showing 15 citing articles:

MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases
Momina Masood, Marriam Nawaz, Tahira Nazir, et al.
IEEE Access (2023) Vol. 11, pp. 52862-52876
Open Access | Times Cited: 31
An improved deep learning approach for localization and recognition of plant leaf diseases
Yahya Alqahtani, Marriam Nawaz, Tahira Nazir, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120717-120717
Closed Access | Times Cited: 20
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: 8
Crop Health Monitoring Through AI-Based Crop Leaf Disease Detection Systems
Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das
Advances in environmental engineering and green technologies book series (2025), pp. 117-172
Closed Access
A novel twin vision transformer framework for crop disease classification with deformable attention
Smitha Padshetty, Ambika
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107551-107551
Closed Access
Mask-guided dual-perception generative adversarial network for synthesizing complex maize diseased leaves to augment datasets
Zhiliang Zhang, Wei Zhan, Yong Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108875-108875
Closed Access | Times Cited: 3
Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification
Parag Bhuyan, Pranav Kumar Singh
Lecture notes in computer science (2024), pp. 293-306
Closed Access | Times Cited: 2
MnasNet-SimAM: An Improved Deep Learning Model for the Identification of Common Wheat Diseases in Complex Real-Field Environments
Xiaojie Wen, Muzaipaer Maimaiti, Qi Liu, et al.
Plants (2024) Vol. 13, Iss. 16, pp. 2334-2334
Open Access | Times Cited: 1
Integrating high-frequency detail information for enhanced corn leaf disease recognition: A model utilizing fusion imagery
Haidong Li, Chao Ruan, Jinling Zhao, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127489-127489
Closed Access | Times Cited: 1
Agricultural innovation through deep learning: a hybrid CNN-Transformer architecture for crop disease classification
Smitha Padshetty, Ambika Umashetty
Journal of Spatial Science (2024), pp. 1-32
Closed Access
Ensemble Transfer Learning using MaizeSet: A Dataset for Weed and Maize Crop Recognition at Different Growth Stages
Zeynep Dilan Daşkın, Muhammad Shahab Alam, Muhammad Umer Khan
Crop Protection (2024) Vol. 184, pp. 106849-106849
Closed Access
Automatic localization of image semantic patches for crop disease recognition
Haidong Li, Hansu Zhang, Jinling Zhao, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112076-112076
Closed Access
Enhancing Maize Crop Health: Deep Learning Approach for Disease Detection and Classification Using Leaf Images
Roseline Nyange, Mapopa Chipofya, Srishti Goel, et al.
Communications in computer and information science (2024), pp. 1-11
Closed Access
Advancements in maize disease detection: A comprehensive review of convolutional neural networks
Burak Gülmez
Computers in Biology and Medicine (2024) Vol. 183, pp. 109222-109222
Open Access
A nightshade crop leaf disease detection using enhance-nightshade-CNN for ground truth data
Barkha M. Joshi, Hetal Bhavsar
The Visual Computer (2023) Vol. 40, Iss. 8, pp. 5639-5658
Closed Access | Times Cited: 1
Interpretable Machine Learning for Multi-Class Crop Yield Prediction
Aldian Nurcahyo, Yaya Heryadi, Lukas Lukas, et al.
(2023), pp. 194-200
Closed Access | Times Cited: 1
STUDY ON ARTIFICAL INTELLIGENCE RECOGNITION METHODS FOR MAIZE LEAF LESION IMAGE
Linwei Li, Yanbo Song, Jie Sun, et al.
INMATEH Agricultural Engineering (2023), pp. 124-135
Open Access
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