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:

Green and fast prediction of crude protein contents in bee pollen based on digital images combined with Random Forest algorithm
Leandra Schuastz Breda, José Elton de Melo Nascimento, Vandressa Alves, et al.
Food Research International (2024) Vol. 179, pp. 113958-113958
Closed Access | Times Cited: 9

Showing 9 citing articles:

An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning
Vandressa Alves, Jeferson M. dos Santos, Olga Viegas, et al.
Food Research International (2024) Vol. 191, pp. 114673-114673
Closed Access | Times Cited: 3

The effect of deposit morphology on soot oxidation in non-catalytic and catalytic processes
Jianbing Gao, Junfeng Huang, Shanshan Wang, et al.
Journal of the Energy Institute (2024) Vol. 116, pp. 101754-101754
Closed Access | Times Cited: 3

Flavor Chemical Research on Different Bee Pollen Varieties Using Fast E-Nose and E-Tongue Technology
Chenshuo Liu, Enning Zhou, Yuying Zhu, et al.
Foods (2024) Vol. 13, Iss. 7, pp. 1022-1022
Open Access | Times Cited: 1

Bee pollen from bracatinga (Mimosa scabrella): Effects of gastrointestinal digestion and epithelial transport in vitro on phenolic profile and bioactivities
Ana Sofia Martelli Chaib Saliba, Alan Giovanini de Oliveira Sartori, Pedro Luiz Rosalen, et al.
Food Research International (2024) Vol. 196, pp. 115142-115142
Closed Access | Times Cited: 1

Identification and crude protein prediction of porcini mushrooms via deep learning-assisted FTIR fingerprinting
Chuanmao Zheng, Honggao Liu, Jieqing Li, et al.
LWT (2024), pp. 117101-117101
Open Access | Times Cited: 1

Leveraging AI technology for distinguishing Eucommiae Cortex processing levels and evaluating anti-fatigue potential
Yijing Pan, Shunshun Wang, Kehong Ming, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109408-109408
Closed Access

Authentication of Apple Juices Using Digital Image Processing (DIP) Combined with Machine Learning (ML)
SUELEM KACZALA, Vanderlei Aparecido de Lima, Maria Lurdes Felsner
Research Square (Research Square) (2024)
Open Access

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