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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:

FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
Emmanuel Moupojou, Appolinaire Tagne, Florent Retraint, et al.
IEEE Access (2023) Vol. 11, pp. 35398-35410
Open Access | Times Cited: 74

Showing 26-50 of 74 citing articles:

Plant disease detection with modified deep joint segmentation and combined GoogleNet‐IRNN
Reus Salini, G. Charlyn Pushpa Latha, Rashmita Khilar
Journal of Phytopathology (2024) Vol. 172, Iss. 3
Closed Access | Times Cited: 2
Deep Learning Based Barley Disease Quantification for Sustainable Crop Production
Yassine Bouhouch, Qassim Esmaeel, Nicolas Richet, et al.
Phytopathology (2024) Vol. 114, Iss. 9, pp. 2045-2054
Closed Access | Times Cited: 2
Enhancing Disease Detection With Weight Initialization and Residual Connections Using LeafNet for Groundnut Leaf Diseases
Nirmala Paramanandham, S. Sundhar, P. Shanmuga Priya
IEEE Access (2024) Vol. 12, pp. 91511-91526
Open Access | Times Cited: 2
Advancing plant disease classification: A robust and generalized approach with transformer-fused convolution and Wasserstein domain adaptation
Muhammad Hanif Tunio, Jianping Li, Xiaoyang Zeng, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109574-109574
Open Access | Times Cited: 2
Classification of Multiple Maize Leaf Diseases Using a Blended Convolutional Neural Network
Vishesh Tanwar, Shweta Lamba
(2023), pp. 1-7
Closed Access | Times Cited: 5
Plant Leaf Disease Prediction and Classification Using Deep Learning
Meroua Belmir, Wafa Difallah, Abdelkader Ghazli
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2023), pp. 536-540
Closed Access | Times Cited: 4
Automated Plant Disease Detection Systems for the Smart Farming Sector
Priyanga Subbiah, N. Krishnaraj
Advances in environmental engineering and green technologies book series (2024), pp. 296-309
Closed Access | Times Cited: 1
“NexGen AgriCare” Advancing Crop Resilience via Real- Time Disease Detection and IoT- Driven results for Banana crop
J. V. Anchitaalagammai, S. Kavitha, S. Murali, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
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
Deep Learning-Based Detection of Fungal Diseases in Apple Plants Using YOLOv8 Algorithm
S BalaChandralekha, Thangakumar Jeyaprakash
(2024), pp. 1-6
Closed Access | Times Cited: 1
A Cutting Edge Deep Learning Models for Paddy Leaf Disease Detection and Classification
A. Dhanalakshmi, K. Ponmozhi, Ammar Ajmal
(2024), pp. 1-6
Closed Access | Times Cited: 1
Tomato leaf disease detection and management using VARMAx-CNN-GAN integration
Vengaiah Cheemaladinne, K. Srinivasa Reddy
Journal of King Saud University - Science (2024) Vol. 36, Iss. 8, pp. 103340-103340
Open Access | Times Cited: 1
Implementation and Evaluation of Attention Aggregation Technique for Pear Disease Detection
Tong Hai, Ningyi Zhang, Xiaoyi Lu, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1146-1146
Open Access | Times Cited: 1
Explaining deep learning-based leaf disease identification
Ankit Rajpal, Rashmi Mishra, Sheetal Rajpal, et al.
Soft Computing (2024) Vol. 28, Iss. 20, pp. 12299-12322
Closed Access | Times Cited: 1
Comparative Investigation of Deep Convolutional Networks in Detection of Plant Diseases
Fikriye Ataman, Halıl Eroglu
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi (2024)
Open Access | Times Cited: 1
Ensemble Learning for Plant Leaf Disease Detection: A Novel Approach for Improved Classification Accuracy
Abhisek Ganguly, Bhaskar Tiwari, G. Pawan Kumar Reddy, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
An Effective approach for Plant Disease Detection Using Assessment-Based Convolutional Neural Networks (A-CNN)
Nirmal Jothi Jerome, Sivasankari Jothiraj, Saranya Kandasamy, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 31, Iss. 3, pp. 155-172
Open Access | Times Cited: 2
Efficient plant leaf detection through machine learning approach based on corn leaf image classification
Premakumari Pujar, Ashutosh Kumar, Vineet Kumar
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 1139-1139
Open Access | Times Cited: 2
Fusing Deep CNN and Local Binary Pattern for Accurate Plant Disease Diagnosis
Joju Jose Joseph, Justin George, Kevin Mathew Manoj, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Crop Disease Detection using Computer Vision

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Identification of Paddy Disease Using Image Processing
Soorji Martina K, M Shobana, S Sneha, et al.
(2024), pp. 739-744
Closed Access
Tomato plant leaf diseases detection and classification using an advanced self-developed CNN model
Sumitra Samal, Vijayant Verma
Multimedia Tools and Applications (2024)
Closed Access
An Interactive Interface for Plant Disease Prediction and Remedy Recommendation
M. Bhandarkar, Basudha Dewan, Payal Bansal
Communications in computer and information science (2024), pp. 53-66
Closed Access
Comprehensive Review on Plant Disease Detection and Identification
Indrabhan S. Borse Manesh P. Patil
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 732-746
Open Access
Crop Yield Prediction Using Optimized Convolutional Neural Network Model Based on Environmental and Phenological Data
Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, et al.
EAI/Springer Innovations in Communication and Computing (2024), pp. 27-54
Closed Access

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