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.

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Showing 1-25 of 46 citing articles:

"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Md Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 18

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

Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7
Muhammad Umar, Saud Altaf, Shafiq Ahmad, et al.
IEEE Access (2024) Vol. 12, pp. 49167-49183
Open Access | Times Cited: 14

TrioConvTomatoNet: A robust CNN architecture for fast and accurate tomato leaf disease classification for real time application
S. Ledbin Vini, P. Rathika
Scientia Horticulturae (2024) Vol. 330, pp. 113079-113079
Closed Access | Times Cited: 8

Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
Xiwen Zhang, Hui Xiao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106140-106140
Closed Access | Times Cited: 6

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification
Bodruzzaman Khan, Subhabrata Das, Nafis Shahid Fahim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

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: 26

Detection and monitoring for enhanced prevention of grain plant disease using classification-based deep ensemble neural networks in smart agriculture
Praveen Goyal, Dinesh Kumar Verma, Shishir Kumar
International Journal of Remote Sensing (2025), pp. 1-31
Closed Access

Deep learning techniques for agricultural plant health assessment: a case study on tomato plant
Pradeep Nahak, Dilip Kumar Pratihar, Alok Kanti Deb
Elsevier eBooks (2025), pp. 11-31
Closed Access

TrioConvTomatoNet-BiLSTM: An Efficient Framework for the Classification of Tomato Leaf Diseases in Real Time Complex Background Images
S. Ledbin Vini, P. Rathika
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access

Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences
Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, et al.
IEEE Access (2024) Vol. 12, pp. 28564-28574
Open Access | Times Cited: 4

Digital image noise removal towards soybean and cotton plant disease using image processing filters
Vaishali G. Bhujade, Vijay Sambhe, Biplab Banerjee
Expert Systems with Applications (2024) Vol. 246, pp. 123031-123031
Closed Access | Times Cited: 3

Investigating attention mechanisms for plant disease identification in challenging environments
Sangeeta Duhan, Preeti Gulia, Nasib Singh Gill, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29802-e29802
Open Access | Times Cited: 3

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset
Syed Taha Yeasin Ramadan, Tanjim Sakib, Fahmid Al Farid, et al.
IEEE Access (2024) Vol. 12, pp. 69853-69874
Open Access | Times Cited: 3

A novel technique for leaf disease classification using Legion Kernels with parallel support vector machine (LK-PSVM) and fuzzy C means image segmentation
Manikandan Rajagopal, Şafak Kayıkçı, Mohamed Abbas, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32707-e32707
Open Access | Times Cited: 3

Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
Soumyashree Kar, J. Adinarayana
Studies in big data (2024), pp. 201-223
Closed Access | Times Cited: 2

Supervised Deep Learning based Leaf Disease and Pest Detection using Image Processing
Deva Priya Isravel, Kumaresan Somasundaram, M Jestin Josephraj, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 1313-1319
Closed Access | Times Cited: 6

Identification of Water Layer Presence in Paddy Fields Using UAV-Based Visible and Thermal Infrared Imagery
Guangfei Wei, Huifang Chen, En Lin, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1932-1932
Open Access | Times Cited: 5

Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution
Zheng Li, Weijie Tao, Jianlei Liu, et al.
Horticulturae (2023) Vol. 9, Iss. 9, pp. 1034-1034
Open Access | Times Cited: 5

An Analysis of Plant Diseases on Detection and Classification: From Machine Learning to Deep Learning Techniques
P. K. Midhunraj, K. S. Thivya, Mallekedi Anand
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 48659-48682
Closed Access | Times Cited: 5

Review of Using Various Deep Learning Techniques and Cycle-GANs with Transformer for Disease Detection and Classification in Plant Leaves
Swaim Prabha Dwivedi, Sweta Jain, Pragati Agrawal
(2024), pp. 1-7
Closed Access | Times Cited: 1

Encouraging hygiene permanence in tomato leaf and applying machine learning techniques
Saravanan Madderi Sivalingam, Lakshmi Devi Badabagni
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 343-343
Open Access

Leveraging Artificial Intelligence for Improved Plant Disease Detection
M. Gore, Akansha Tyagi, Santosh T. Jagtap
IARJSET (2024) Vol. 11, Iss. 4
Open Access

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