Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Disease Identification Using Transfer Learning
Muhammad Sufyan Arshad, Usman Abdur Rehman, Muhammad Moazam Fraz
(2021), pp. 1-5
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
Lakshin Pathak, Mili Virani, Drashti Kansara
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1316-1323
Open Access | Times Cited: 961
Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11219-11229
Open Access | Times Cited: 7
Applications of Computer Vision on Automatic Potato Plant Disease Detection: A Systematic Literature Review
Natnael Tilahun Sinshaw, Beakal Gizachew Assefa, Sudhir Kumar Mohapatra, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 27
Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images
V. Balaji, N. K. Anushkannan, Sujatha Canavoy Narahari, et al.
Contrast Media & Molecular Imaging (2023) Vol. 2023, pp. 1-8
Open Access | Times Cited: 15
EfficientNetB3-Adaptive Augmented Deep Learning (AADL) for Multi-Class Plant Disease Classification
Faiqa Adnan, Mazhar Javed Awan, Amena Mahmoud, et al.
IEEE Access (2023) Vol. 11, pp. 85426-85440
Open Access | Times Cited: 15
Analyzing Various CNN Architectures for Detection of Early Blight and Late Blight in Infected Potato Plants
Varsha Naik, Arnav Gajjar, Inayat Sood, et al.
Lecture notes in networks and systems (2025), pp. 47-63
Closed Access
Leveraging feature fusion ensemble of VGG16 and ResNet-50 for automated potato leaf abnormality detection in precision agriculture
Amit Kumar Trivedi, Tripti Mahajan, Tanmay Maheshwari, et al.
Soft Computing (2025)
Closed Access
Performance Analysis of Transfer Learning Models to Detect the Rice Plant Leaf Diseases from Real-Time Data of Chhattisgarh State of India
Yogesh Kumar Rathore, Rekh Ram Janghel, Monoj K. Pradhan
Lecture notes in networks and systems (2025), pp. 119-131
Closed Access
Detection Of Grape Leaf Disease Using Transfer Learning Methods: VGG16 & VGG19
Sri Adi Pavan Naidu Kavala, Rajarajeswari Pothuraju
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022)
Closed Access | Times Cited: 15
Comparative Analysis of Pre-trained Deep Neural Networks for Plant Disease Classification
Romiyal George, Selvarajah Thuseethan, Roshan Ragel
(2024), pp. 179-186
Closed Access | Times Cited: 2
The Art of Multi-Classification: Detecting Rice Sheath Rot Disease Severity Levels using a Hybrid CNN-SVM Model
Vinay Kukreja, Rishabh Sharma, Rishika Yadav
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 828-833
Closed Access | Times Cited: 5
Weakly supervised localization model for plant disease based on Siamese networks
Jian‐Zhang Chen, Jianwen Guo, Hewei Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Detection of Cotton Plant Disease for Fast Monitoring Using Enhanced Deep Learning Technique
Himani Bhatheja, N. Jayanthi
2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) (2021), pp. 820-825
Closed Access | Times Cited: 10
Leaf Disease Detection using Convolutional Neural Network
Shriya Omar, Rachna Jain, Vikram Bali
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (2022), pp. 53-56
Closed Access | Times Cited: 5
A Study on the Performance of Deep Learning Models for Leaf Disease Detection
G. Sucharitha, M Sirisha, K. Pravalika, et al.
EAI Endorsed Transactions on Internet of Things (2023) Vol. 10
Open Access | Times Cited: 2
Plant Disease Detection Using Deep Learning
Prof. Ksn Sushma, Nishant Upadhyay, Ajeet Singh, et al.
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 1099-1101
Open Access | Times Cited: 3
A Comparison of Keras Application Models with Pre-Trained Weights in Predicting the Disease of Lanzones Leaf
Adzmer S. Muhali, Noel B. Linsangan
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access | Times Cited: 3
Deep Learning Models for Prediction of Disease in Lycopersicum
Nakatha Arun Kumar, Sathish S. Kumar
BENTHAM SCIENCE PUBLISHERS eBooks (2024), pp. 17-24
Closed Access
Potato Leaf Disease Detection By Deep Learning: A Comparative Study
Md Ashikuzzaman, Kanoge Roy, Ahmed Lamon, et al.
(2024), pp. 278-283
Closed Access
Detection and Classification on Plant Disease using Deep Learning Techniques
Chavda Rohit P., Tosal M. Bhalodia
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 365-375
Open Access
Detection of Corn Leaf Diseases Using Image Processing and YOLOv7 Convolutional Neural Network (CNN)
Mary Christine Tomas, Miguel Andrei C. Gonzales, Justin Carlos G. Pasia, et al.
(2024), pp. 134-140
Closed Access
Investigation of Banana Plant Disease Detection Using Transfer Learning
R. Karthickmanoj, S. Aasha Nandhini
(2024), pp. 393-418
Closed Access
Identification of Plant Diseases in Jordan Using Convolutional Neural Networks
Moy’awiah A. Al-Shannaq, Shahed AL-Khateeb, Abed Al-Raouf k. Bsoul, et al.
Research Square (Research Square) (2024)
Open Access
Investigation of automated plant disease detection framework using machine learning classifier with novel segmentation and feature extraction strategy
K. S. Ravichandran, S. Aasha Nandhini, T. Sasilatha
Elsevier eBooks (2024), pp. 313-321
Closed Access
Identification of Plant Diseases in Jordan Using Convolutional Neural Networks
Moy’awiah A. Al-Shannaq, Shahed AL-Khateeb, Abed Al Raoof Bsoul, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4942-4942
Open Access
Page 1 - Next Page

Scroll to top