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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:

Machine Learning Analysis of Hyperspectral Images of Damaged Wheat Kernels
Kshitiz Dhakal, Upasana Sivaramakrishnan, Xuemei Zhang, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3523-3523
Open Access | Times Cited: 11

Showing 11 citing articles:

Aero-engine Blade Defect Detection: A Systematic Review of Deep Learning Models
Yusra Abdulrahman, M. A Mohammed Eltoum, Abdulla Ayyad, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 15
Advancements, limitations and challenges in hyperspectral imaging for comprehensive assessment of wheat quality: An up-to-date review
Yuling Wang, Xingqi Ou, Hong-Ju He, et al.
Food Chemistry X (2024) Vol. 21, pp. 101235-101235
Open Access | Times Cited: 5
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Irfan Haider, Muhammad Attique Khan, Muhammad Nazir, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7260-7277
Open Access | Times Cited: 5
Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges
Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Advancing Food Security: The Role of Machine Learning in Pathogen Detection
Helen Onyeaka, Adenike A. Akinsemolu, Taghi Miri, et al.
Applied Food Research (2024), pp. 100532-100532
Open Access | Times Cited: 4
Machine Learning Applied to the Detection of Mycotoxin in Food: A Systematic Review
Alan N. Inglis, Andrew Parnell, Natarajan Subramani, et al.
Toxins (2024) Vol. 16, Iss. 6, pp. 268-268
Open Access | Times Cited: 3
Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective
Guoqing Feng, Ying Gu, Cheng Wang, et al.
Plants (2024) Vol. 13, Iss. 13, pp. 1722-1722
Open Access | Times Cited: 3
Phenotyping Wheat Kernel Symmetry as a Consequence of Different Agronomic Practices
Tatiana Aniskina, К.А. Судариков, Nikita A. Prisazhnoy, et al.
Symmetry (2024) Vol. 16, Iss. 5, pp. 548-548
Open Access
Hyperspectral imaging using deep learning in wheat diseases: (Review)
Fadi Abd Eladhim zidi, Abdelkrim Ouafi
(2024), pp. 1-8
Closed Access
Assessing deoxynivalenol concentration reduction and mass loss in wheat batches using near infrared hyperspectral imaging
Sonia Marı́n, Christian López, Josep L. Lérida, et al.
Food Research International (2024) Vol. 196, pp. 115047-115047
Open Access
Wheat Fusarium head blight severity grading using generative adversarial networks and semi-supervised segmentation
Guoqing Feng, Ying Gu, Cheng Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109817-109817
Closed Access
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