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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:

Identification of plant leaf diseases by deep learning based on channel attention and channel pruning
Riyao Chen, Haixia Qi, Yu Liang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review
Anuja Bhargava, Aasheesh Shukla, Om Prakash Goswami, et al.
IEEE Access (2024) Vol. 12, pp. 37443-37469
Open Access | Times Cited: 11
Next-gen agriculture: integrating AI and XAI for precision crop yield predictions
R. N. V. Jagan Mohan, Pravallika Sree Rayanoothala, R Praneetha Sree
Frontiers in Plant Science (2025) Vol. 15
Open Access
A Detection Method for Sweet Potato Leaf Spot Disease and Leaf-Eating Pests
Kang Xu, Hou Yan, Wenbin Sun, et al.
Agriculture (2025) Vol. 15, Iss. 5, pp. 503-503
Open Access
Image-based crop disease detection with federated learning
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
LFMNet: a lightweight model for identifying leaf diseases of maize with high similarity
Jian Hu, Xinhua Jiang, Julin Gao, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
A deep multi-task learning approach to identifying mummy berry infection sites, the disease stage, and severity
Hongchun Qu, Chaofang Zheng, Hao Ji, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Real-time field disease identification based on a lightweight model
Siyu Quan, Jiajia Wang, Zhenhong Jia, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109467-109467
Closed Access | Times Cited: 2
Tea leaf disease and insect identification based on improved MobileNetV3
Yang Li, Yuheng Lu, Haoyang Liu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Enhancement of tea leaf diseases identification using modified SOTA models
Kamini G. Panchbhai, Madhusudan G. Lanjewar
Neural Computing and Applications (2024)
Closed Access | Times Cited: 2
Rose Plant Disease Detection using Deep Learning
Md. Ali- Al - Alvy, Golam Kibria Khan, Mohammad Jahangir Alam, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023) Vol. 16, pp. 1244-1249
Closed Access | Times Cited: 6
aGRodet 2.0: An Automated Real-Time Approach for Multiclass Plant Disease Detection
Alakananda Mitra, Saraju P. Mohanty, Elias Kougianos
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 5
MixSeg: a lightweight and accurate mix structure network for semantic segmentation of apple leaf disease in complex environments
Bibo Lu, Jiangwen Lu, Xinchao Xu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Batch size impact on enset leaf disease detection
Temesgen A. Asfaw
THE SCIENTIFIC TEMPER (2024) Vol. 15, Iss. 01, pp. 1613-1618
Open Access | Times Cited: 1
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
Syed Asif Ahmad Qadri, Nen‐Fu Huang, Taiba Majid Wani, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 2639-2670
Closed Access | Times Cited: 1
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
MS-Net: a novel lightweight and precise model for plant disease identification
Siyu Quan, Jiajia Wang, Zhenhong Jia, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 4
Advancing Plant Disease Detection: Harnessing Deep Learning and Machine Vision
Nidhi Singh
International Journal of Science and Research (IJSR) (2024) Vol. 13, Iss. 3, pp. 1272-1277
Open Access | Times Cited: 1
An Improved MobileNet Model Integrated Spatial and Channel Attention Mechanisms for Tea Disease
Li Zhang, Jiacheng Sun, Minghui Yang
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 1
Exploring the Performance of VGG16 and Efficient Net Models for Plant Disease Classification: A Comparative Approach
Boyapati Sahithi, S. Vigneshwari
(2023) Vol. 182, pp. 1-6
Closed Access | Times Cited: 3
Ingeniería SolidariaResearch article. https://doi.org/10.16925/2357-6014.2023.03.03 1 Lovely Professional University, India Email: bhuvanpuri1199@gmail.com ORCID: https://orcid.org/0000-0002-3098-7892 2 Lovely Professional University, India Email: rameshwar.20345@lpu.co.in ORCID: https://orcid.org/0000-0002-5369-7433 A review on the role of IoT, ai, and blockchain in agriculture & crop diseases detection using a text mining approach
Bhuvan Puri, Rameshwar Cambow
Ingenieria Solidaria (2023) Vol. 19, Iss. 3, pp. 1-30
Open Access | Times Cited: 2
Image-based crop disease detection with federated learning
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Automatic Classification and Detection of Maize Leaf Diseases using Machine Learning Techniques
R. Pitchai, P Vaishnavi, Paripelli Supraja, et al.
(2023), pp. 406-410
Closed Access | Times Cited: 2
SAFP-YOLO: Enhanced Object Detection Speed Using Spatial Attention-Based Filter Pruning
Hanse Ahn, Seungwook Son, Jee-Hoon Roh, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11237-11237
Open Access | Times Cited: 2
Automatic foliar spot detection from low-cost RGB digital images using a hybrid approach of convolutional neural network and random forest classifier
Jaime Carlos Macuácua, Jorge António Silva Centeno, Caisse Amisse, et al.
Boletim de Ciências Geodésicas (2024) Vol. 30
Open Access
GLDICCNN Model: Groundnut Leaf Diseases Identification and Classification for Multiclass Classification Using Deep Learning
Anna Anbumozhi, A. Shanthini
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 7, pp. 812-821
Open Access
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