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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:

Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows
Giulio Visentin, A. McDermott, S. McParland, et al.
Journal of Dairy Science (2015) Vol. 98, Iss. 9, pp. 6620-6629
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics
A. McDermott, Giulio Visentin, Massimo De Marchi, et al.
Journal of Dairy Science (2016) Vol. 99, Iss. 4, pp. 3171-3182
Open Access | Times Cited: 98
Effects of heating on the secondary structure of proteins in milk powders using mid-infrared spectroscopy
M.P. Ye, Ran Zhou, Yaqin Shi, et al.
Journal of Dairy Science (2016) Vol. 100, Iss. 1, pp. 89-95
Open Access | Times Cited: 89
Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods
Maria Frizzarin, Isobel Claire Gormley, D.P. Berry, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 7, pp. 7438-7447
Open Access | Times Cited: 63
Spectroscopic technologies and data fusion: Applications for the dairy industry
Elena Hayes, Derek Greene, Colm P. O’Donnell, et al.
Frontiers in Nutrition (2023) Vol. 9
Open Access | Times Cited: 29
Trend analysis and prediction of seasonal changes in milk composition from a pasture-based dairy research herd
Elena Hayes, D. Wallace, Colm P. O’Donnell, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 4, pp. 2326-2337
Open Access | Times Cited: 24
Characterization of major and trace minerals, fatty acid composition, and cholesterol content of Protected Designation of Origin cheeses
Carmen L. Manuelian, Sarah Currò, Mauro Penasa, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 5, pp. 3384-3395
Open Access | Times Cited: 69
Predictive ability of mid-infrared spectroscopy for major mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm
Giulio Visentin, Mauro Penasa, P. Gottardo, et al.
Journal of Dairy Science (2016) Vol. 99, Iss. 10, pp. 8137-8145
Open Access | Times Cited: 65
Effects of somatic cell score on milk yield and mid-infrared predicted composition and technological traits of Brown Swiss, Holstein Friesian, and Simmental cattle breeds
Marco Franzoi, Carmen L. Manuelian, Mauro Penasa, et al.
Journal of Dairy Science (2019) Vol. 103, Iss. 1, pp. 791-804
Open Access | Times Cited: 60
The potential of Fourier transform infrared spectroscopy of milk samples to predict energy intake and efficiency in dairy cows
S. McParland, D.P. Berry
Journal of Dairy Science (2016) Vol. 99, Iss. 5, pp. 4056-4070
Open Access | Times Cited: 56
Milk somatic cell count and its relationship with milk yield and quality traits in Italian water buffaloes
Angela Costa, Gianluca Neglia, Giuseppe Campanile, et al.
Journal of Dairy Science (2020) Vol. 103, Iss. 6, pp. 5485-5494
Open Access | Times Cited: 50
A Service-based Joint Model Used for Distributed Learning: Application for Smart Agriculture
Dixon Vimalajeewa, Chamil Kulatunga, D.P. Berry, et al.
IEEE Transactions on Emerging Topics in Computing (2021), pp. 1-1
Open Access | Times Cited: 34
The accuracy of NIRS in predicting chemical composition and fibre digestibility of hay-based total mixed rations
Giovanni Buonaiuto, Damiano Cavallini, Ludovica Maria Eugenia Mammi, et al.
Italian Journal of Animal Science (2021) Vol. 20, Iss. 1, pp. 1730-1739
Open Access | Times Cited: 33
Cow milk coagulation: process description, variation factors and evaluation methodologies. A review
Thibault Troch, Émilie Lefébure, Vincent Baeten, et al.
BASE (2017), pp. 276-287
Open Access | Times Cited: 42
The evolving role of Fourier-transform mid-infrared spectroscopy in genetic improvement of dairy cattle
Kathryn Tiplady, Thomas Lopdell, Mathew D. Littlejohn, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 38
Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows
Mohammed El Jabri, Marie-Pierre Sanchez, Philippe Trossat, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 8, pp. 6943-6958
Open Access | Times Cited: 36
Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets
Maria Frizzarin, Tom F. O’Callaghan, Thomas Brendan Murphy, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 12, pp. 12394-12402
Open Access | Times Cited: 32
Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”
Maria Frizzarin, Giulio Visentin, Alessandro Ferragina, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 234, pp. 104755-104755
Open Access | Times Cited: 12
A Review on MIR, NIR, Fluorescence and Raman Spectroscopy Combined with Chemometric Modeling to Predict the Functional Properties of Raw Bovine Milk
Áine M. Ní Fhuaráin, Colm P. O’Donnell, Jiani Luo, et al.
ACS Food Science & Technology (2024)
Open Access | Times Cited: 4
Processing characteristics of dairy cow milk are moderately heritable
Giulio Visentin, S. McParland, Massimo De Marchi, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 8, pp. 6343-6355
Open Access | Times Cited: 37
Short communication: Prediction of milk coagulation and acidity traits in Mediterranean buffalo milk using Fourier-transform mid-infrared spectroscopy
Carmen L. Manuelian, Giulio Visentin, Carlo Boselli, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 9, pp. 7083-7087
Open Access | Times Cited: 37
Coagulation Traits of Sheep and Goat Milk
Michele Pazzola
Animals (2019) Vol. 9, Iss. 8, pp. 540-540
Open Access | Times Cited: 31
Application of Optical Quality Control Technologies in the Dairy Industry: An Overview
Dmitriy E. Burmistrov, D. Yu. Pavkin, A. R. Khakimov, et al.
Photonics (2021) Vol. 8, Iss. 12, pp. 551-551
Open Access | Times Cited: 25
Leveraging milk mid-infrared spectroscopy to authenticate animal welfare, farming practices, and dairy systems of Parmigiano Reggiano cheese
Marco Aurelio Ramirez Mauricio, Marco Berton, Nicolò Amalfitano, et al.
Journal of Dairy Science (2025)
Open Access
Novel Strategy for Effective Selection of Characteristic Spectra of Milk Minerals
Liu L, Zhuo Yang, Gang Xu, et al.
LWT (2025), pp. 117779-117779
Open Access
Quantification of whey proteins by reversed phase-HPLC and effectiveness of mid-infrared spectroscopy for their rapid prediction in sweet whey
Alba Sturaro, Massimo De Marchi, Antonio Masi, et al.
Journal of Dairy Science (2015) Vol. 99, Iss. 1, pp. 68-76
Open Access | Times Cited: 32
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