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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:

Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment
H. M. Abou-El-Enien Tarek, Hesham Aly, Saleh Eisa, et al.
Electronics (2022) Vol. 11, Iss. 1, pp. 140-140
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

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: 94
Artificial intelligence - enabled soft sensor and internet of things for sustainable agriculture using ensemble deep learning architecture
Wongchai Anupong, Surendra Kumar Shukla, Mohammed Altaf Ahmed, et al.
Computers & Electrical Engineering (2022) Vol. 102, pp. 108128-108128
Closed Access | Times Cited: 90
ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture
Utpal Barman, Parismita Sarma, Mirzanur Rahman, et al.
Agronomy (2024) Vol. 14, Iss. 2, pp. 327-327
Open Access | Times Cited: 25
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
The classification and localization of crack using lightweight convolutional neural network with CBAM
Liujie Chen, Haodong Yao, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 275, pp. 115291-115291
Closed Access | Times Cited: 48
MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases
Amel Ksibi, Manel Ayadi, Ben Othman Soufiene, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10278-10278
Open Access | Times Cited: 43
Design of Efficient Methods for the Detection of Tomato Leaf Disease Utilizing Proposed Ensemble CNN Model
Hasan Ulutaş, Veysel Aslantaş
Electronics (2023) Vol. 12, Iss. 4, pp. 827-827
Open Access | Times Cited: 39
EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images
Zahid Ullah, Najah Alsubaie, Mona Jamjoom, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 737-737
Open Access | Times Cited: 31
Wrapper-based deep feature optimization for activity recognition in the wearable sensor networks of healthcare systems
Karam Kumar Sahoo, Raghunath Ghosh, Saurav Mallik, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Identification of olive leaf disease through optimized deep learning approach
Hamoud Alshammari, Ahmed I. Taloba, Osama R. Shahin
Alexandria Engineering Journal (2023) Vol. 72, pp. 213-224
Open Access | Times Cited: 28
Time and Space Efficient Multi-Model Convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds
Ankita Gangwar, Vijaypal Singh Dhaka, Geeta Rani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 117-142
Open Access | Times Cited: 9
XSE-TomatoNet: An Explainable AI based Tomato Leaf Disease Classification Method Using EfficientNetB0 with Squeeze-and-Excitation Blocks and Multi-Scale Feature Fusion
Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, et al.
MethodsX (2025), pp. 103159-103159
Closed Access | Times Cited: 1
A Smart Solution for Tomato Leaf Disease Classification by Modified Recurrent Neural Network with Severity Computation
Alampally Sreedevi, Chiranjeevi Manike
Cybernetics & Systems (2022) Vol. 55, Iss. 2, pp. 409-449
Closed Access | Times Cited: 31
An Accurate Classification of Rice Diseases Based on ICAI-V4
Nanxin Zeng, Gufeng Gong, Guoxiong Zhou, et al.
Plants (2023) Vol. 12, Iss. 11, pp. 2225-2225
Open Access | Times Cited: 16
End-to-End lightweight Transformer-Based neural network for grasp detection towards fruit robotic handling
Congmin Guo, Chenhao Zhu, Yuchen Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109014-109014
Closed Access | Times Cited: 5
Tomato Leaf Disease Recognition on Leaf Images Based on Fine-Tuned Residual Neural Networks
Paul Shekonya Kanda, Kewen Xia, Anastasiia Kyslytysna, et al.
Plants (2022) Vol. 11, Iss. 21, pp. 2935-2935
Open Access | Times Cited: 24
Lightweight Detection Method for Real-Time Monitoring Tomato Growth Based on Improved YOLOv5s
Suyu Tian, Chao Fang, Xiaogang Zheng, et al.
IEEE Access (2024) Vol. 12, pp. 29891-29899
Open Access | Times Cited: 5
Intelligent Plant Disease Diagnosis Using Deep Neural Networks
S. Dharmalingam, K. Vinoth Kumar, J. Satheesh Kumar, et al.
Lecture notes in electrical engineering (2025), pp. 419-428
Closed Access
Climate Change Impacts on Vegetable Crops: A Systematic Review
Eduard Alexandru Dumitru, Rozi Liliana Berevoianu, Valentina Tudor, et al.
Agriculture (2023) Vol. 13, Iss. 10, pp. 1891-1891
Open Access | Times Cited: 10
Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Muhammad Mahmood ur Rehman, Jizhan Liu, Aneela Nijabat, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2231-2231
Open Access | Times Cited: 3
Fast Detection of Tomato Sucker Using Semantic Segmentation Neural Networks Based on RGB-D Images
Truong Thi Huong Giang, Tran Quoc Khai, Dae-Young Im, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5140-5140
Open Access | Times Cited: 15
A Comprehensive Review on Crop Disease Prediction Based on Machine Learning and Deep Learning Techniques
Manoj A. Patil, M. Manohar
Lecture notes in networks and systems (2023), pp. 481-503
Closed Access | Times Cited: 8
Lightweight modified attention based deep learning model for cassava leaf diseases classification
Anand Shanker Tewari, Priya Kumari
Multimedia Tools and Applications (2023) Vol. 83, Iss. 20, pp. 57983-58007
Closed Access | Times Cited: 8
1-Norm twin random vector functional link networks based on Universum data for leaf disease detection
Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika
Applied Soft Computing (2023) Vol. 148, pp. 110850-110850
Closed Access | Times Cited: 7
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 7
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