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:
BananaLSD: A banana leaf images dataset for classification of banana leaf diseases using machine learning
Shifat E. Arman, Md. Abdullahil Baki Bhuiyan, Hasan Muhammad Abdullah, et al.
Data in Brief (2023) Vol. 50, pp. 109608-109608
Open Access | Times Cited: 15
Shifat E. Arman, Md. Abdullahil Baki Bhuiyan, Hasan Muhammad Abdullah, et al.
Data in Brief (2023) Vol. 50, pp. 109608-109608
Open Access | Times Cited: 15
Showing 15 citing articles:
Mint leaves: Dried, fresh, and spoiled dataset for condition analysis and machine learning applications
Rohini Jadhav, Yogesh Suryawanshi, Yashashree Bedmutha, et al.
Data in Brief (2023) Vol. 51, pp. 109717-109717
Open Access | Times Cited: 16
Rohini Jadhav, Yogesh Suryawanshi, Yashashree Bedmutha, et al.
Data in Brief (2023) Vol. 51, pp. 109717-109717
Open Access | Times Cited: 16
IBAC-Net: integrative brightness adaptive plant leaf disease classification
Xing Xu, H. L., Zhao Yun, et al.
Journal of Agricultural Engineering (2025)
Open Access
Xing Xu, H. L., Zhao Yun, et al.
Journal of Agricultural Engineering (2025)
Open Access
Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network
N. R. Rajalakshmi, S. Saravanan, J. Arunpandian, et al.
Journal of Data Science and Intelligent Systems (2024)
Open Access | Times Cited: 3
N. R. Rajalakshmi, S. Saravanan, J. Arunpandian, et al.
Journal of Data Science and Intelligent Systems (2024)
Open Access | Times Cited: 3
Explainable AI Based framework for Banana Disease Detection
B Ashoka S, M. Pramodha, Abdullah Y. Muaad, et al.
(2024), pp. 1-6
Open Access | Times Cited: 2
B Ashoka S, M. Pramodha, Abdullah Y. Muaad, et al.
(2024), pp. 1-6
Open Access | Times Cited: 2
Explainable AI Based framework for Banana Disease Detection
S B Ashoka, M. Pramodha, Abdullah Y. Muaad, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
S B Ashoka, M. Pramodha, Abdullah Y. Muaad, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Utilizing Random Forests for the Classification of Pudina Leaves through Feature Extraction with InceptionV3 and VGG19
Elham Tahsin Yasin, Murat Köklü
Deleted Journal (2023)
Open Access | Times Cited: 2
Elham Tahsin Yasin, Murat Köklü
Deleted Journal (2023)
Open Access | Times Cited: 2
Predicting Banana Leaf Diseases: Feature Extraction with BL-FEOT and Enhanced Classification using the BAT-KNN Hybrid Algorithm
Ravi Kumar Tirandasu, Prasanth Yalla
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 5, pp. 195-206
Open Access
Ravi Kumar Tirandasu, Prasanth Yalla
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 5, pp. 195-206
Open Access
ResNet50 Integrated Vision Transformer for Enhanced Plant Disease Classification
D Mohnish Kumaar, Saravanan Palani
(2024), pp. 1-6
Closed Access
D Mohnish Kumaar, Saravanan Palani
(2024), pp. 1-6
Closed Access
SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
Sahana Shetty, T R Mahesh
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
Sahana Shetty, T R Mahesh
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
An intelligent deep augmented model for detection of banana leaves diseases
Amjad Rehman, Ibrahim Abunadi, Faten S. Alamri, et al.
Microscopy Research and Technique (2024) Vol. 88, Iss. 1, pp. 53-64
Closed Access
Amjad Rehman, Ibrahim Abunadi, Faten S. Alamri, et al.
Microscopy Research and Technique (2024) Vol. 88, Iss. 1, pp. 53-64
Closed Access
Assessment of Dataset Scalability for Classification of Black Sigatoka in Banana Crops Using UAV-Based Multispectral Images and Deep Learning Techniques
Rafael Linero-Ramos, Carlos Parra, Alexander Espinosa-Valdez, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 503-503
Open Access
Rafael Linero-Ramos, Carlos Parra, Alexander Espinosa-Valdez, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 503-503
Open Access
QBNet: A Lightweight Quantized Model for Dynamic Banana Disease Recognition
Abu Bakar Siddique Mahi, Farhana Sultana Eshita, Tasnim Jahin Mowla, et al.
Lecture notes in networks and systems (2024), pp. 512-523
Closed Access
Abu Bakar Siddique Mahi, Farhana Sultana Eshita, Tasnim Jahin Mowla, et al.
Lecture notes in networks and systems (2024), pp. 512-523
Closed Access
BananaImageBD: A Comprehensive Banana Image Dataset for Classification of Banana Varieties and Detection of Ripeness Stages in Bangladesh.
Md. Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, et al.
Data in Brief (2024) Vol. 58, pp. 111239-111239
Open Access
Md. Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, et al.
Data in Brief (2024) Vol. 58, pp. 111239-111239
Open Access
Role of Precision Agriculture in Mitigating Black Sigatoka in Banana Cultivation Under Climate Change: A Review and Bibliometric Analysis
Luis Miguel Torres Ustate, Nelson Virgilio Piraneque Gambasica, Martha Ligia Castellanos Martínez
TecnoLógicas (2024) Vol. 27, Iss. 61, pp. e3158-e3158
Open Access
Luis Miguel Torres Ustate, Nelson Virgilio Piraneque Gambasica, Martha Ligia Castellanos Martínez
TecnoLógicas (2024) Vol. 27, Iss. 61, pp. e3158-e3158
Open Access
A Cloud-Based Platform for Leaf Disease Segmentation and Classification using Hybrid Deep Learning Model
L. Subash, G. Arulselvi
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 5, pp. 813-833
Open Access
L. Subash, G. Arulselvi
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 5, pp. 813-833
Open Access
