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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:

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

Showing 11 citing articles:

Resource constraint crop damage classification using depth channel shuffling
Md. Tanvir Islam, Safkat Shahrier Swapnil, Md Mashum Billal, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110117-110117
Closed Access
Deep Learning Generalized Hybrid Models for Multi-Species Crop Disease Classification with Explainable Insights
D. R. Wadhwa, Kamal Malik
(2025)
Closed Access
Past, present and future of deep plant leaf disease recognition: A survey
Romiyal George, Selvarajah Thuseethan, Roshan Ragel, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110128-110128
Open Access
Applications of machine learning and deep learning in agriculture: A comprehensive review
Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, et al.
Green Technologies and Sustainability (2025), pp. 100199-100199
Open Access
Design of an Iterative Method for Crop Disease Analysis Incorporating Graph Attention with Spatial-Temporal Learning and Deep Q-Networks
Rupali Meshram, A. S. Alvi
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 706-719
Open Access | Times Cited: 1
A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks
Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim, et al.
Gels (2024) Vol. 10, Iss. 8, pp. 517-517
Open Access | Times Cited: 1
Design of an Iterative Method for Disease Prediction in Finger Millet Leaves Using Graph Networks, Dyna Networks, Autoencoders, and Recurrent Neural Networks
Shailendra Tiwari, Anita Gehlot, Rajesh Singh, et al.
Results in Engineering (2024) Vol. 24, pp. 103301-103301
Open Access | Times Cited: 1
A Systematic Literature Review on Leaf Disease Recognition Using Computer Vision and Deep Learning Approach
Nik Afiqah N. Ahmad Yani, Shukor Sanim Mohd Fauzi, Nurul Ain Mohd Zaki, et al.
Journal of Information Systems Engineering and Business Intelligence (2024) Vol. 10, Iss. 2, pp. 232-249
Open Access
A high-available segmentation algorithm for corn leaves and leaf spot disease based on feature fusion
Falin Guo, Caihua Yao, Rui Yang, et al.
Crop Protection (2024), pp. 106957-106957
Closed Access
A Novel Approach for Detecting Apple and Maize Plant Diseases Using Self Organized Maps and Deep Boltzmann Machine
Senthil Pandi S, V Janani, Janani Priya N
(2024), pp. 1-6
Closed Access
A Optimum Review for Plant Leaf Disease Classification using Machine Learning
Kumar Satyam Tanti, Meenu Gupta, Rakesh Kumar, et al.
(2024), pp. 70-76
Closed Access
AI Based Identification of Plant Health Issues
Thiyagarajan Saranya, Sathyan Subbiah, V Dhanaseelan
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1513-1517
Closed Access
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