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:

Computer Vision-Based Cashew Nuts Grading System Using Machine Learning Methods
A. Sivaranjani, S. Senthilrani
Journal of Circuits Systems and Computers (2022) Vol. 32, Iss. 03
Closed Access | Times Cited: 6

Showing 6 citing articles:

Rice leaf disease identification and classification using machine learning techniques: A comprehensive review
Rashmi Mukherjee, Anushri Ghosh, Chandan Chakraborty, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109639-109639
Closed Access | Times Cited: 5

MC-ShuffleNetV2: A lightweight model for maize disease recognition
Shaoqiu Zhu, Haitao Gao
Egyptian Informatics Journal (2024) Vol. 27, pp. 100503-100503
Open Access | Times Cited: 2

Defect identification of bare printed circuit boards based on Bayesian fusion of multi-scale features
Xixi Han, Ronghuan Li, Boqin Wang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1900-e1900
Open Access

Visual damage detection technology for conveyor belts in coal-fired power plants
Weiliang Cheng, Xinwei Yin, Yanchun Wang
(2024), pp. 23-29
Closed Access

Precised Cashew Classification Using Machine Learning
Sowmya Nag Karnam, Veenadevi Siddanahundi Vaddagallaiah, Pradeep Kooganahalli Rangnaik, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 17414-17421
Open Access

Machine learning techniques to classify blood groups and Rh-factors
Mustafa F. Mahmood
AIP conference proceedings (2024) Vol. 3232, pp. 040009-040009
Closed Access

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