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:

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

Showing 1-25 of 48 citing articles:

Construction of deep learning-based disease detection model in plants
Minah Jung, Jong Seob Song, Ah-Young Shin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 45
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
Tomato leaf disease identification via two–stage transfer learning approach
Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100275-100275
Open Access | Times Cited: 38
Hyperparameter Optimization with Genetic Algorithms and XGBoost: A Step Forward in Smart Grid Fraud Detection
Adil Mehdary, Abdellah Chehri, Abdeslam Jakimi, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1230-1230
Open Access | Times Cited: 11
A novel hierarchical framework for plant leaf disease detection using residual vision transformer
Sasikala Vallabhajosyula, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli
Heliyon (2024) Vol. 10, Iss. 9, pp. e29912-e29912
Open Access | Times Cited: 9
Smart farming for detection and identification of tomato plant diseases using light weight deep neural network
N Aishwarya, N. Praveena, S Priyanka, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18799-18810
Closed Access | Times Cited: 28
Enhancing Wind Tunnel Computational Simulations of Finite Element Analysis Using Machine Learning-Based Algorithms
Luttfi A. Al-Haddad, Alaa Abdulhady Jaber, Latif Ibraheem, et al.
Engineering and Technology Journal (2023), pp. 1-9
Open Access | Times Cited: 15
Smartphone-based straw incorporation: An improved convolutional neural network
Li Mao, Jiangtao Qi, Xinliang Tian, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109010-109010
Closed Access | Times Cited: 6
Exploring Advanced Machine Learning Techniques for Swift Legume Disease Detection
Ok-Hue Cho, In Seop Na, Jin Gwang Koh
Legume Research - An International Journal (2024), Iss. Of
Open Access | Times Cited: 5
Detection of the Pine Wilt Disease Using a Joint Deep Object Detection Model Based on Drone Remote Sensing Data
Youping Wu, Honglei Yang, Yunlei Mao
Forests (2024) Vol. 15, Iss. 5, pp. 869-869
Open Access | Times Cited: 5
From Pixels to Protection: Deep Learning Approaches for Plant Leaf Disease Detection
Khadeeja Khadeer, Kanwal Iqbal Khan, M. Bharathi, et al.
Deleted Journal (2025) Vol. 3, Iss. 1, pp. 8-14
Closed Access
Algorithms for Plant Monitoring Applications: A Comprehensive Review
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 84-84
Open Access
CustomBottleneck-VGGNet: Advanced tomato leaf disease identification for sustainable agriculture
Mohamed Zarboubi, Abdelaaziz Bellout, Samira Chabaa, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110066-110066
Closed Access
Comparative Study of Pruned CNN Models for Tomato and Potato Disease Classification
Akshay Dheeraj, Satish Chand, Aditya Raj
Lecture notes in electrical engineering (2025), pp. 209-221
Closed Access
An Approach to Identify and Classify Agricultural Crop Diseases Using Machine Learning and Deep Learning Techniques
Imtiaz Ahmed, Gousia Habib, Pramod Kumar Yadav
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-6
Closed Access | Times Cited: 9
Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A Comprehensive Review
Bharathwaaj Sundararaman, Siddhant Jagdev, Narendra Khatri
Sustainability (2023) Vol. 15, Iss. 15, pp. 11681-11681
Open Access | Times Cited: 8
Tomato disease object detection method combining prior knowledge attention mechanism and multiscale features
Liu Jun, Xuewei Wang
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8
Environmental engineering solutions for efficient soil classification in southern Syria: a clustering-correlation extreme learning approach
Sinan A. Al-Haddad, Luttfi A. Al-Haddad, Alaa Abdulhady Jaber
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 2
Enhancing plant disease detection: a novel CNN-based approach with tensor subspace learning and HOWSVD-MDA
Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur, et al.
Neural Computing and Applications (2024)
Closed Access | Times Cited: 2
A ResNet50-DPA model for tomato leaf disease identification
Liang Jin, Wenping Jiang
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
Dealing with Unbalanced Data in Leaf Disease Detection: A Comparative Study of Hierarchical Classification, Clustering-based Undersampling and Reweighting-based Approaches
Haythem Ghazouani, Walid Barhoumi, Ezzeddine Chakroun, et al.
Procedia Computer Science (2023) Vol. 225, pp. 4891-4900
Open Access | Times Cited: 5
Improvement Classification Approach in Tomato Leaf Disease using Modified Visual Geometry Group (VGG)-InceptionV3
Jiraporn Thomkaew, Sarun Intakosum
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access | Times Cited: 8
Tomato Disease Recognition: Advancing Accuracy Through Xception and Bilinear Pooling Fusion
Hoang-Tu Vo, Nhon Nguyen Thien, Kheo Chau Mui
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 4
Tomato leaf disease detection and management using VARMAx-CNN-GAN integration
Vengaiah Cheemaladinne, K. Srinivasa Reddy
Journal of King Saud University - Science (2024) Vol. 36, Iss. 8, pp. 103340-103340
Open Access | Times Cited: 1
Ensemble transfer learning meets explainable AI: A deep learning approach for leaf disease detection
Harit K. Raval, Jyotismita Chaki
Ecological Informatics (2024), pp. 102925-102925
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top