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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:

Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle
Lúcio Flávio Macêdo Mota, Vittoria Bisutti, A. Vanzin, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 3, pp. 1853-1873
Open Access | Times Cited: 10

Showing 10 citing articles:

Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle
Vittoria Bisutti, Lúcio Flávio Macêdo Mota, Diana Giannuzzi, et al.
Food Chemistry (2024) Vol. 461, pp. 140800-140800
Open Access | Times Cited: 4
Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms
Han Jiang, Peipei Wen, Yikai Fan, et al.
Foods (2025) Vol. 14, Iss. 6, pp. 969-969
Open Access
Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status
Diana Giannuzzi, Chiara Evangelista, Angela Costa, et al.
Italian Journal of Animal Science (2024) Vol. 23, Iss. 1, pp. 780-801
Open Access | Times Cited: 3
Genomic Landscape and Prediction of Udder Traits in Saanen Dairy Goats
Xiaoting Yao, Jiaxin Li, Jiaqi Fu, et al.
Animals (2025) Vol. 15, Iss. 2, pp. 261-261
Open Access
Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
Lúcio Flávio Macêdo Mota, Diana Giannuzzi, Sara Pegolo, et al.
Genetics Selection Evolution (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 7
Selection of the most informative wavenumbers to improve prediction accuracy of milk fatty acid profile based on milk mid‐infrared spectra data
Wenqi Lou, Luiz F. Brito, Xiuxin Zhao, et al.
Animal Research and One Health (2024) Vol. 2, Iss. 4, pp. 417-430
Open Access | Times Cited: 1
The Genetic Characteristics of FT-MIRS-Predicted Milk Fatty Acids in Chinese Holstein Cows
Chunfang Li, Yikai Fan, Dongwei Wang, et al.
Animals (2024) Vol. 14, Iss. 19, pp. 2901-2901
Open Access
Rapid Detection and Spectroscopic Feature Analysis of Mineral Content in Camel Milk Using Fourier-Transform Mid-Infrared Spectroscopy and Traditional Machine Learning Algorithms
Yongqing Li, Yikai Fan, J. Gao, et al.
Food Control (2024), pp. 110983-110983
Closed Access
Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: insights for enhancing breeding programs and herd management
Alessio Cecchinato, Hugo Toledo-Alvarado, Lúcio Flávio Macêdo Mota, et al.
Journal of Dairy Science (2024)
Open Access
Chemometric techniques for the prediction of milk composition from MIR spectral data: A review
Josefina Barrera Morelli, Cushla McGoverin, Michél K. Nieuwoudt, et al.
Food Chemistry (2024) Vol. 469, pp. 142465-142465
Open Access
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