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:

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Computers and Electronics in Agriculture (2018) Vol. 155, pp. 220-236
Closed Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Plant leaf disease classification using EfficientNet deep learning model
Ümit Atila, Murat Uçar, Kemal Akyol, et al.
Ecological Informatics (2020) Vol. 61, pp. 101182-101182
Closed Access | Times Cited: 648
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Plants (2019) Vol. 8, Iss. 11, pp. 468-468
Open Access | Times Cited: 610
Plant Disease Detection and Classification by Deep Learning—A Review
Lili Li, Shujuan Zhang, Bin Wang
IEEE Access (2021) Vol. 9, pp. 56683-56698
Open Access | Times Cited: 546
Crop pest classification based on deep convolutional neural network and transfer learning
Thenmozhi Kasinathan, U. Srinivasulu Reddy
Computers and Electronics in Agriculture (2019) Vol. 164, pp. 104906-104906
Closed Access | Times Cited: 405
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
Vijaypal Singh Dhaka, Sangeeta Vaibhav Meena, Geeta Rani, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 278
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, et al.
Microscopy Research and Technique (2020) Vol. 84, Iss. 1, pp. 133-149
Closed Access | Times Cited: 243
Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction
Tanzila Saba, Muhammad Attique Khan, Amjad Rehman, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 9
Closed Access | Times Cited: 216
Plant diseases recognition on images using convolutional neural networks: A systematic review
André Abade, Paulo Afonso Ferreira, Flávio de Barros Vidal
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106125-106125
Open Access | Times Cited: 213
A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture
Amjad Rehman, Tanzila Saba, Muhammad Kashif, et al.
Agronomy (2022) Vol. 12, Iss. 1, pp. 127-127
Open Access | Times Cited: 200
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 185
An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection
Muhammad Attique Khan, M. Ikram Ullah Lali, Muhammad Sharif, et al.
IEEE Access (2019) Vol. 7, pp. 46261-46277
Open Access | Times Cited: 175
Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
Bin Liu, Zefeng Ding, Liangliang Tian, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 174
Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning
Jun Sun, Yu Ping Yang, Xiaofei He, et al.
IEEE Access (2020) Vol. 8, pp. 33679-33688
Open Access | Times Cited: 151
A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification
Bin Liu, Cheng Tan, Shuqin Li, et al.
IEEE Access (2020) Vol. 8, pp. 102188-102198
Open Access | Times Cited: 149
Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0
Vanesa Martos, Ahmad Ali, P. Cartujo, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5911-5911
Open Access | Times Cited: 133
Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture
Zia ur Rehman, Muhammad Attique Khan, Fawad Ahmed, et al.
IET Image Processing (2021) Vol. 15, Iss. 10, pp. 2157-2168
Open Access | Times Cited: 129
Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118117-118117
Closed Access | Times Cited: 125
Computer-vision classification of corn seed varieties using deep convolutional neural network
Shima Javanmardi, Seyed-Hassan Miraei Ashtiani, Fons J. Verbeek, et al.
Journal of Stored Products Research (2021) Vol. 92, pp. 101800-101800
Open Access | Times Cited: 119
MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks
Henan Sun, Haowei Xu, Bin Liu, et al.
Computers and Electronics in Agriculture (2021) Vol. 189, pp. 106379-106379
Closed Access | Times Cited: 114
Leaf disease detection using machine learning and deep learning: Review and challenges
Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110534-110534
Closed Access | Times Cited: 91
Inception convolutional vision transformers for plant disease identification
Sheng Yu, Li Xie, Qilei Huang
Internet of Things (2022) Vol. 21, pp. 100650-100650
Open Access | Times Cited: 72
A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends
Wasswa Shafik, Ali Tufail, Abdallah Namoun, et al.
IEEE Access (2023) Vol. 11, pp. 59174-59203
Open Access | Times Cited: 53
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition
Munish Khanna, Law Kumar Singh, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 4465-4517
Closed Access | Times Cited: 40
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
Sachin Kumar Gupta, Ashish Kumar Tripathi
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108260-108260
Closed Access | Times Cited: 16
Multi-Model Deep Neural Network based Features Extraction and Optimal Selection Approach for Skin Lesion Classification
Muhammad Attique Khan, Muhammad Younus Javed, Muhammad Sharif, et al.
(2019), pp. 1-7
Closed Access | Times Cited: 137
Page 1 - Next Page

Scroll to top