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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:

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
Antonio Fazari, Óscar J. Pellicer-Valero, Juan Gómez‐Sanchís, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106252-106252
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Plant Disease Recognition Model Based on Improved YOLOv5
Zhaoyi Chen, Ruhui Wu, Yiyan Lin, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 365-365
Open Access | Times Cited: 200
Detection and Classification of Tomato Crop Disease Using Convolutional Neural Network
S. Gnanavel, Godfrey Winster Sathianesan, Vetri Selvan Murugan, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3618-3618
Open Access | Times Cited: 70
A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 62
Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 49
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 34
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 2
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martı́nez-Sober, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109938-109938
Open Access | Times Cited: 1
Effect of germ orientation during Vis-NIR hyperspectral imaging for the detection of fungal contamination in maize kernel using PLS-DA, ANN and 1D-CNN modelling
Shekh Mukhtar Mansuri, Subir Kumar Chakraborty, Naveen Kumar Mahanti, et al.
Food Control (2022) Vol. 139, pp. 109077-109077
Closed Access | Times Cited: 67
Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality
Dong An, Liu Zhang, Zhe Liu, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 29, pp. 9766-9796
Closed Access | Times Cited: 57
Hyperspectral Sensing of Plant Diseases: Principle and Methods
Long Wan, Hui Li, Chengsong Li, et al.
Agronomy (2022) Vol. 12, Iss. 6, pp. 1451-1451
Open Access | Times Cited: 57
Olive Disease Classification Based on Vision Transformer and CNN Models
Hamoud Alshammari, Karim Gasmi, Ibtihel Ben Ltaifa, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 57
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: 41
Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review
Sudau Eh Teet, Norhashila Hashim
Food Control (2023) Vol. 152, pp. 109849-109849
Closed Access | Times Cited: 25
Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation
Nikolaos Giakoumoglou, Eleni Kalogeropoulou, Christos Klaridopoulos, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100481-100481
Open Access | Times Cited: 11
Development of a new hyperspectral imaging technology with autoencoder-assisted generative adversarial network for predicting the content of polyunsaturated fatty acids in red meat
Jiarui Cui, Kenken Li, Yu Lv, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108842-108842
Closed Access | Times Cited: 9
Detection of lead content in oilseed rape leaves and roots based on deep transfer learning and hyperspectral imaging technology
Xin Zhou, Chunjiang Zhao, Jun Sun, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 290, pp. 122288-122288
Closed Access | Times Cited: 29
Identification of Near Geographical Origin of Wolfberries by a Combination of Hyperspectral Imaging and Multi-Task Residual Fully Convolutional Network
Jiarui Cui, Kenken Li, Jie Hao, et al.
Foods (2022) Vol. 11, Iss. 13, pp. 1936-1936
Open Access | Times Cited: 27
Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
Manju Bagga, Sonali Goyal
Urban Agriculture & Regional Food Systems (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7
End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality
Tingting Zhang, Jing Li, Juxiu Tong, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection
Deshuai Yuan, Jinbao Jiang, Ziqiang Gong, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106963-106963
Closed Access | Times Cited: 26
Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data
Pappu Kumar Yadav, Thomas F. Burks, Quentin Frederick, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 26
Study on Black Spot Disease Detection and Pathogenic Process Visualization on Winter Jujubes Using Hyperspectral Imaging System
Mengwei Jiang, Yiting Li, Song Jin, et al.
Foods (2023) Vol. 12, Iss. 3, pp. 435-435
Open Access | Times Cited: 15
Detection Method for Tomato Leaf Mildew Based on Hyperspectral Fusion Terahertz Technology
Xiaodong Zhang, Yafei Wang, Zhankun Zhou, et al.
Foods (2023) Vol. 12, Iss. 3, pp. 535-535
Open Access | Times Cited: 15
Hyperspectral imaging coupled with machine learning for classification of anthracnose infection on mango fruit
Ubonrat Siripatrawan, Yoshio Makino
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 309, pp. 123825-123825
Closed Access | Times Cited: 14
Y–Net: Identification of Typical Diseases of Corn Leaves Using a 3D–2D Hybrid CNN Model Combined with a Hyperspectral Image Band Selection Module
Yinjiang Jia, Yaoyao Shi, Jiaqi Luo, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1494-1494
Open Access | Times Cited: 13
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