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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 novel GCL hybrid classification model for paddy diseases
Shweta Lamba, Anupam Baliyan, Vinay Kukreja
International Journal of Information Technology (2022) Vol. 15, Iss. 2, pp. 1127-1136
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Predictive Intelligence for Healthcare Outcomes: An AI Architecture Overview
Srinivasa Rao Burri, Abhishek Kumar, Anupam Baliyan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 77
A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning
Shweta Lamba, Vinay Kukreja, Anupam Baliyan, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1502-1502
Open Access | Times Cited: 74
Deep Learning-Based Hybrid Model For Severity Prediction of Leaf Smut Rice Infection
Vishesh Tanwar, Shweta Lamba, Bhanu Sharma
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-6
Closed Access | Times Cited: 25
Optimized classification model for plant diseases using generative adversarial networks
Shweta Lamba, Preeti Saini, Jagpreet Kaur, et al.
Innovations in Systems and Software Engineering (2022) Vol. 19, Iss. 1, pp. 103-115
Closed Access | Times Cited: 28
An Improved Deep Learning Model for Classification of the Multiple Paddy Disease
Vishesh Tanwar, Shweta Lamba
(2023), pp. 43-48
Closed Access | Times Cited: 15
Brassica Black Rot Severity Levels classification based on Multimodal Convolutional Neural Networks and Support Vector Machines
Deepak Upadhyay, Manika Manwal, Ajay Pratap Yadav, et al.
(2024), pp. 49-53
Closed Access | Times Cited: 5
Integrating Deep Learning and Ensemble Methods for Robust Tomato Disease Detection: A Hybrid CNN-RF Model Analysis
Preeti Chaudhary, Aditya Verma, Vinay Kukreja, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-4
Closed Access | Times Cited: 5
A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases
Shweta Lamba, Vinay Kukreja, Junaid Rashid, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
A Fine-Tuned DenseNet Model for an Efficient Maize Leaf Disease Classification
Arshleen Kaur, Vinay Kukreja, Mukesh Kumar, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 4
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection
Ajay Yadav, Nitin Thapliyal, Manisha Aeri, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-4
Closed Access | Times Cited: 4
CNN-VGG16 Hybrid Model for Onion Purple Blotch Disease Severity Multi-Level Grading
Nitish Kumar Ojha, Nitin Thapliyal, Manisha Aeri, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 4
TaPaSe: Tanjore Paddy Seed Dataset
A. Sasithradevi, M. Vijayalakshmi, SR Varsini, et al.
Lecture notes in electrical engineering (2025), pp. 47-59
Closed Access
Intelligent Healthcare: Using NLP and ML to Power Chatbots for Improved Assistance
Rajasrikar Punugoti, Ronak Duggar, Risha Ranganath Dhargalkar, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 10
Enhancing Rice Crop Health Assessment: Evaluating Disease Identification with a CNN-RF Hybrid Approach
I Govindharaj, Kapil Rajput, Navin Garg, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 3
Early detection of cotton Verticillium wilt based on generative adversarial networks and hyperspectral imaging technology
Fei Tan, Hao Cang, Xiuwen Gao, et al.
Industrial Crops and Products (2025) Vol. 231, pp. 121167-121167
Open Access
Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications
Yang Lü, Xianpeng Tao, Nianyin Zeng, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1789-1789
Open Access | Times Cited: 9
Cauliflower Leaf Disease: Unraveling Severity Levels with Federated Learning CNN
Saumitra Chattopadhyay, Aditya Verma, Ankur Srivastava, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
Technological Synergy in Agriculture: A Federated Learning CNNs Against Banana Leaf Diseases
Sonal Malhotra, Manika Manwal, Vinay Kukreja, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
Closed Access | Times Cited: 3
Implementing CNN and RF Models for Multi-Level Classification: Deciphering Beetroot Aphid Disease Severity
Nitish Kumar Ojha, Deepak Upadhyay, Manika Manwal, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 3
Plant AI in Agriculture: Innovative Approaches to Sunflower Leaf Disease Detection with Federated Learning CNNs
Hardik Sharma, Vinay Kukreja, Shiva Mehta, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
Optimized VGG16 Model for Advanced Classification of Cotton Leaf Diseases
Nikhil Walia, Rishabh Sharma, Mukesh Kumar, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 3
Using Support Vector Machine and Generative Adversarial Network for Multi-Classification of Pneumonia Disease
Sanchit Vashisht, Bhanu Sharma, Shweta Lamba
(2023), pp. 1-6
Closed Access | Times Cited: 7
An efficient deep learning with a big data-based cotton plant monitoring system
Ancy Stephen, Punitha Arumugam, A. Chandrasekar
International Journal of Information Technology (2023) Vol. 16, Iss. 1, pp. 145-151
Closed Access | Times Cited: 7
Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
Hongwei Ning, Sheng Liu, Qifei Zhu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Nutrient Deficiency of Paddy Leaf Classification using Hybrid Convolutional Neural Network
Sherline Jesie R, Godwin Premi M S
International Journal of Electrical and Electronics Research (2024) Vol. 12, Iss. 1, pp. 286-291
Open Access | Times Cited: 2
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