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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:

Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification
Farah Saeed, Muhammad Attique Khan, Muhammad Sharif, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107164-107164
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments
İlayda Yağ, Aytaç Altan
Biology (2022) Vol. 11, Iss. 12, pp. 1732-1732
Open Access | Times Cited: 203
A cucumber leaf disease severity classification method based on the fusion of DeepLabV3+ and U-Net
Chun‐Shan Wang, Pengfei Du, Huarui Wu, et al.
Computers and Electronics in Agriculture (2021) Vol. 189, pp. 106373-106373
Closed Access | Times Cited: 168
End-to-End Deep Learning Model for Corn Leaf Disease Classification
Hassan Amin, Ashraf Darwish, Aboul Ella Hassanien, et al.
IEEE Access (2022) Vol. 10, pp. 31103-31115
Open Access | Times Cited: 124
A comparative study of deep learning and Internet of Things for precision agriculture
T. Saranya, C. Deisy, S. Sridevi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106034-106034
Closed Access | Times Cited: 115
Lightweight dense-scale network (LDSNet) for corn leaf disease identification
Weihui Zeng, Haidong Li, Gensheng Hu, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106943-106943
Closed Access | Times Cited: 77
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal
Ecological Informatics (2023) Vol. 75, pp. 102025-102025
Closed Access | Times Cited: 77
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
An Early and Smart Detection of Corn Plant Leaf Diseases Using IoT and Deep Learning Multi-Models
Rubina Rashid, Waqar Aslam, Romana Aziz, et al.
IEEE Access (2024) Vol. 12, pp. 23149-23162
Open Access | Times Cited: 14
Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning
Helong Yu, Jiawen Liu, Chengcheng Chen, et al.
IEEE Access (2021) Vol. 9, pp. 143824-143835
Open Access | Times Cited: 94
Classification of Citrus Plant Diseases Using Deep Transfer Learning
Muhammad Zia Ur Rehman, Fawad Ahmed, Muhammad Attique Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 1, pp. 1401-1417
Open Access | Times Cited: 66
T-CNN: Trilinear convolutional neural networks model for visual detection of plant diseases
Dongfang Wang, Jun Wang, Wenrui Li, et al.
Computers and Electronics in Agriculture (2021) Vol. 190, pp. 106468-106468
Closed Access | Times Cited: 62
Design of efficient techniques for tomato leaf disease detection using genetic algorithm-based and deep neural networks
Mariam Moussafir, Hasna Chaibi, Rachid Saadane, et al.
Plant and Soil (2022) Vol. 479, Iss. 1-2, pp. 251-266
Closed Access | Times Cited: 48
Leaf species and disease classification using multiscale parallel deep CNN architecture
R. Newlin Shebiah, S. Arivazhagan
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 19217-19237
Closed Access | Times Cited: 46
Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model
Nafees Akhter Farooqui, Amit Kumar Mishra, Ritika Mehra
Intelligent Decision Technologies (2022) Vol. 16, Iss. 2, pp. 407-429
Closed Access | Times Cited: 43
Predicting and Classifying Potato Leaf Disease using K-means Segmentation Techniques and Deep Learning Networks
Md. Ashiqur Rahaman Nishad, Meherabin Akter Mitu, Nusrat Jahan
Procedia Computer Science (2022) Vol. 212, pp. 220-229
Open Access | Times Cited: 39
Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model
Alwaseela Abdalla, Terry A. Wheeler, Jane K. Dever, et al.
Biosystems Engineering (2024) Vol. 237, pp. 220-231
Closed Access | Times Cited: 10
A novel deep CNN model with entropy coded sine cosine for corn disease classification
MaajidMohiUd Din Malik, Abdul Muiz Fayyaz, Mussarat Yasmin, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102126-102126
Open Access | Times Cited: 7
Fusion of Hyperspectral Imaging and Convolutional Neural Networks for Early Detection of Crop Diseases in Precision Agriculture
Kavitha Dasari, Suman Avdhesh Yadav, Lavish Kansal, et al.
(2024), pp. 1172-1177
Closed Access | Times Cited: 7
Mango Leaf Disease Recognition and Classification Using Novel Segmentation and Vein Pattern Technique
Rabia Saleem, Jamal Hussain Shah, Muhammad Sharif, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11901-11901
Open Access | Times Cited: 51
Apple Leaf Disease Recognition and Sub-Class Categorization Based on Improved Multi-Scale Feature Fusion Network
Yuanqiu Luo, Jun Sun, Jifeng Shen, et al.
IEEE Access (2021) Vol. 9, pp. 95517-95527
Open Access | Times Cited: 46
Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection
N. Hussain, Muhammad Attique Khan, Usman Tariq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 2, pp. 3281-3294
Open Access | Times Cited: 46
A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets
Guowei Dai, Lin Hu, Jingchao Fan, et al.
IEEE Access (2022) Vol. 10, pp. 85416-85428
Open Access | Times Cited: 27
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 3038-3052
Open Access | Times Cited: 17
Plant Leaf Disease Detection Using an Optimized Evolutionary Gravitational Neocognitron Neural Network
Praveen Goyal, Dinesh Kumar Verma, Shishir Kumar
National Academy Science Letters (2024) Vol. 47, Iss. 4, pp. 347-354
Closed Access | Times Cited: 5
Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model: A CAD‐Based Agriculture Development System
Raju Bhukya, Vuppu Shankar, A Venkata Harshvardhan, et al.
Journal of Phytopathology (2025) Vol. 173, Iss. 1
Closed Access
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