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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:

Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks
Mariela Fernández-Campos, Yu‐Ting Huang, Mohammad R. Jahanshahi, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 14

Showing 14 citing articles:

Recent advances in plant disease severity assessment using convolutional neural networks
Tingting Shi, Yongmin Liu, Xinying Zheng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 46
Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention
Wenxia Bao, Chengpei Huang, Gensheng Hu, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108630-108630
Closed Access | Times Cited: 9
Global Trends and Future Directions in Agricultural Remote Sensing for Wheat Scab Detection: Insights from a Bibliometric Analysis
Sarfraz Hussain, Ghulam Mustafa, İmran Khan, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3431-3431
Open Access | Times Cited: 11
An Analysis of Plant Diseases Identification Based on Deep Learning Methods
Xulu Gong, Shujuan Zhang
The Plant Pathology Journal (2023) Vol. 39, Iss. 4, pp. 319-334
Open Access | Times Cited: 9
Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning
Chongyuan Zhang, Brenden Lane, Mariela Fernández-Campos, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 8
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset
Dominik Rößle, Lukas Prey, Ludwig Ramgraber, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 6
Overlapped tobacco shred image segmentation and area computation using an improved Mask RCNN network and COT algorithm
Li Wang, Kunming Jia, Yongmin Fu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
High-throughput and point-of-care detection of wheat fungal diseases: Potentialities of molecular and phenomics techniques toward in-field applicability
Sara Francesconi
Frontiers in Agronomy (2022) Vol. 4
Open Access | Times Cited: 7
Tobacco shred varieties classification using Multi-Scale-X-ResNet network and machine vision
Qunfeng Niu, Jiangpeng Liu, Yi Jin, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 5
Tomato disease degree recognition based on RGB and Lab color space conversion method
Hao-Jie He, Chongyang Ning, Muou Liu, et al.
(2023)
Closed Access | Times Cited: 2
Recent Advances in Plant Disease Severity Assessment Using Convolutional Neural Networks
Yongmin Liu, Tingting Shi, Xinying Zheng, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Advancements and outlooks in utilizing Convolutional Neural Networks for plant disease severity assessment: A comprehensive review
Douglas Squizatto Leite, Alisson V. Brito, Gregorio Faccioli
Smart Agricultural Technology (2024) Vol. 9, pp. 100573-100573
Open Access
Prediction of protein secondary structure based on deep residual convolutional neural network
Jinyong Cheng, Ying Xu, Yunxiang Zhao
Biotechnology & Biotechnological Equipment (2021) Vol. 35, Iss. 1, pp. 1881-1890
Open Access | Times Cited: 2
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