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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 two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
L. G. Divyanth, Aanis Ahmad, Dharmendra Saraswat
Smart Agricultural Technology (2022) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

Detection of Coconut Clusters Based on Occlusion Condition Using Attention-Guided Faster R-CNN for Robotic Harvesting
L. G. Divyanth, P. Soni, C.M. Pareek, et al.
Foods (2022) Vol. 11, Iss. 23, pp. 3903-3903
Open Access | Times Cited: 21
CNN-based plant disease recognition using colour space models
Shubham Nain, Neha Mittal, M. Hanmandlu
International Journal of Image and Data Fusion (2024) Vol. 15, Iss. 3, pp. 373-386
Closed Access | Times Cited: 3
EAIS-Former: An efficient and accurate image segmentation method for fruit leaf diseases
Jiangwen Lu, Bibo Lu, Wanli Ma, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108739-108739
Closed Access | Times Cited: 3
Segmentation and Detection of Crop Pests using Novel U‐Net with Hybrid Deep Learning Mechanism
Nagaveni Biradar, Girisha Hosalli
Pest Management Science (2024) Vol. 80, Iss. 8, pp. 3795-3807
Closed Access | Times Cited: 3
Real-Time Disease Detection System for Maize Plants using Deep Convolutional Neural Networks
Prabhnoor Bachhal, Vinay Kukreja, Sachin Ahuja
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 10263-10275
Open Access | Times Cited: 7
Pear leaf disease segmentation method based on improved DeepLabv3+
Jun Fu, Xiaoxu Li, Fang-hua Chen, et al.
Cogent Food & Agriculture (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Deep Learning-Enabled Intensity Level Classification of Corn Rust Disease
Arshleen Kaur, Vinay Kukreja, Lisa Gopal, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Artificial intelligence approach for diagnosing banana crop diseases through image processing framework: an insightful survey journey from farmers field to digital cloud
Jayakrishna S.S., S. Sankar Ganesh
Archives of Phytopathology and Plant Protection (2024) Vol. 57, Iss. 3, pp. 163-199
Closed Access | Times Cited: 2
A Deep Learning-Based Crop Disease Diagnosis Method Using Multimodal Mixup Augmentation
Hyunseok Lee, Young-Sang Park, Songho Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4322-4322
Open Access | Times Cited: 2
Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Evaluation of Effective Class-Balancing Techniques for CNN-Based Assessment of Aphanomyces Root Rot Resistance in Pea (Pisum sativum L.)
L. G. Divyanth, Afef Marzougui, María José González-Bernal, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7237-7237
Open Access | Times Cited: 11
Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model
Sara Laghmati, Khadija Hicham, Bouchaib Cherradi, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 6
Potato Leaf Disease Segmentation Method Based on Improved UNet
Jun Fu, Yichen Zhao, Gang Wu
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11179-11179
Open Access | Times Cited: 6
Enhancing disease region segmentation in rice leaves using modified deep learning architectures
Mayuri Sharma, Chandan Jyoti Kumar, Thipendra P. Singh, et al.
Archives of Phytopathology and Plant Protection (2023) Vol. 56, Iss. 20, pp. 1555-1580
Closed Access | Times Cited: 6
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
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
Introducing artificial intelligence technology to plant disease management for sustainable agriculture
Yu Hu, Jiangting Tang, Jie Yang
Crop Protection (2024) Vol. 184, pp. 106764-106764
Closed Access | Times Cited: 1
Semantic Segmentation Based Leaf Disease Severity Estimation Using Deep Learning Algorithms
Riyazahemed A. Jamadar, Anoop Sharma
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023) Vol. 8, pp. 1-5
Closed Access | Times Cited: 4
An Analysis of Plant Diseases on Detection and Classification: From Machine Learning to Deep Learning Techniques
P. K. Midhunraj, K. S. Thivya, M Anand
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 48659-48682
Closed Access | Times Cited: 4
PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning
Punam Bedi, Pushkar Gole, Sudeep Marwaha
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 1
A framework for leaf disease analysis and estimation using MAML with DeepLabV3
Arunangshu Pal, Vinay Kumar, Khondekar Lutful Hassan, et al.
Microsystem Technologies (2024)
Closed Access | Times Cited: 1
Métodos para identificação de plantas daninhas em lavouras de milho com uso de inteligência artificial e processamento de imagens
Rodrigo Nunes Wessner, Rejane Frozza, Rolf Fredi Molz
Revista Produção Online (2024) Vol. 24, Iss. 2, pp. 5249-5249
Open Access | Times Cited: 1
Leveraging deep learning for dollar spot detection and quantification in turfgrass
Elisabeth C. A. Kitchin, Henry J. Sneed, David S. McCall
Crop Science (2024) Vol. 65, Iss. 1
Open Access | Times Cited: 1
An Efficient Approach for Coffee Leaf Disease Classification and Severity Prediction
Santhosh S. Kumar, B. K. Raghavendra
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 5, pp. 702-716
Open Access | Times Cited: 3
BNNDC: Branched neural network for plant disease identification
Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat
Smart Agricultural Technology (2023) Vol. 5, pp. 100315-100315
Open Access | Times Cited: 3

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