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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:

Maize Leaf Disease Detection and Classification Using Machine Learning Algorithms
Kshyanaprava Panda Panigrahi, Himansu Das, Abhaya Kumar Sahoo, et al.
Advances in intelligent systems and computing (2020), pp. 659-669
Closed Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Punam Bedi, Pushkar Gole
Artificial Intelligence in Agriculture (2021) Vol. 5, pp. 90-101
Open Access | Times Cited: 226
Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications
J. Andrew, Jennifer Eunice, Daniela Elena Popescu, et al.
Agronomy (2022) Vol. 12, Iss. 10, pp. 2395-2395
Open Access | Times Cited: 182
Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
Seyed Mohamad Javidan, Ahmad Banakar, Keyvan Asefpour Vakilian, et al.
Smart Agricultural Technology (2022) Vol. 3, pp. 100081-100081
Open Access | Times Cited: 111
On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
Houda Orchi, Mohamed Sadik, Mohammed Khaldoun
Agriculture (2021) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 104
Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review
Ghulam Mohyuddin, Muhammad Adnan Khan, Abdul Haseeb, et al.
IEEE Access (2024) Vol. 12, pp. 60155-60184
Open Access | Times Cited: 15
Automatic identification of diseases in grains crops through computational approaches: A review
R. Manavalan
Computers and Electronics in Agriculture (2020) Vol. 178, pp. 105802-105802
Closed Access | Times Cited: 85
A novel framework for image-based plant disease detection using hybrid deep learning approach
Anuradha Chug, Anshul Bhatia, Amit Prakash Singh, et al.
Soft Computing (2022) Vol. 27, Iss. 18, pp. 13613-13638
Closed Access | Times Cited: 65
Early diagnosis of rice plant disease using machine learning techniques
Mayuri Sharma, Chandan Jyoti Kumar, Aniruddha Deka
Archives of Phytopathology and Plant Protection (2021) Vol. 55, Iss. 3, pp. 259-283
Closed Access | Times Cited: 64
Crop leaf disease detection and classification using machine learning and deep learning algorithms by visual symptoms: a review
Pallepati Vasavi, A. Punitha, T. Venkat Narayana Rao
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 2, pp. 2079-2079
Open Access | Times Cited: 58
Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique
Habib Khan, Ijaz Ul Haq, Muhammad Munsif, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1226-1226
Open Access | Times Cited: 54
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: 33
RETRACTED ARTICLE: Deep learning-based automated disease detection and classification model for precision agriculture
A. Pavithra, G. Kalpana, T. Vigneswaran
Soft Computing (2023) Vol. 28, Iss. S2, pp. 463-463
Open Access | Times Cited: 26
Convolutional Neural Network Based Maize Plant Disease Identification
Sahil Jasrotia, Jyotsna Yadav, Navin Rajpal, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1712-1721
Open Access | Times Cited: 22
Wheat leaf disease classification using modified ResNet50 convolutional neural network model
A. Usha Ruby, J. George Chellin Chandran, B N Chaithanya, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62875-62893
Closed Access | Times Cited: 14
MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection
Bin Liu, Xulei Huang, Leiming Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109028-109028
Closed Access | Times Cited: 8
A CNN Approach for Corn Leaves Disease Detection to support Digital Agricultural System
Kshyanaprava Panda Panigrahi, Abhaya Kumar Sahoo, Himansu Das
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2020), pp. 678-683
Closed Access | Times Cited: 66
A Jaya algorithm based wrapper method for optimal feature selection in supervised classification
Himansu Das, Bighnaraj Naik, H. S. Behera
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 3851-3863
Open Access | Times Cited: 56
A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests
Jianlei Kong, Chengcai Yang, Yang Xiao, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 34
A Systematic Review of Recent Machine Learning Techniques for Plant Disease Identification and Classification
Lavika Goel, Jyoti Nagpal
IETE Technical Review (2022) Vol. 40, Iss. 3, pp. 423-439
Closed Access | Times Cited: 34
Plants Diseases Prediction Framework: A Image-Based System Using Deep Learning
Madhu Kirola, Kapil Joshi, Sumit Chaudhary, et al.
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2022), pp. 307-313
Closed Access | Times Cited: 32
A Systematic Review of Different Categories of Plant Disease Detection Using Deep Learning-Based Approaches
Yogesh Kumar, Rupinder Singh, Manu Raj Moudgil, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4757-4779
Closed Access | Times Cited: 21
Maize disease identification based on optimized support vector machine using deep feature of DenseNet201
Arabinda Dash, Prabira Kumar Sethy, Santi Kumari Behera
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100824-100824
Open Access | Times Cited: 19
Performance analysis of segmentation models to detect leaf diseases in tomato plant
Prabhjot Kaur, Shilpi Harnal, Vinay Gautam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 16019-16043
Closed Access | Times Cited: 17
Performance evaluation of the classifiers based on features from cotton leaf images
Bhagya M Patil, Vishwanath Burkpalli
Multimedia Tools and Applications (2025)
Closed Access
Leaf Disease Detection using Convolutional Neural Network
L. R. Karlmarx, Syam Kumar R, B R Harshitha, et al.
Journal of Ubiquitous Computing and Communication Technologies (2025) Vol. 6, Iss. 4, pp. 397-406
Open Access
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