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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:

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

Showing 1-25 of 56 citing articles:

A 100-Year Review: Metabolic health indicators and management of dairy cattle
T.R. Overton, J.A.A. McArt, D.V. Nydam
Journal of Dairy Science (2017) Vol. 100, Iss. 12, pp. 10398-10417
Open Access | Times Cited: 148
Review: Metabolic challenges in lactating dairy cows and their assessment via established and novel indicators in milk
J.J. Gross, R.M. Bruckmaier
animal (2019) Vol. 13, pp. s75-s81
Open Access | Times Cited: 91
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
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
Molecular (Raman, NIR, and FTIR) spectroscopy and multivariate analysis in consumable products analysis1
Sayo O. Fakayode, Gary A. Baker, David K. Bwambok, et al.
Applied Spectroscopy Reviews (2019) Vol. 55, Iss. 8, pp. 647-723
Closed Access | Times Cited: 58
Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis
B. Lahart, S. McParland, E. Kennedy, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 10, pp. 8907-8918
Open Access | Times Cited: 44
Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems
Tiago Bresolin, João Ricardo Rebouças Dórea
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 44
Infrared spectroscopy combined with random forest to determine tylosin residues in powdered milk
Alexandre Gomes Marques de Freitas, Lucas Almir Cavalcante Minho, Bárbara Elizabeth Alves de Magalhães, et al.
Food Chemistry (2021) Vol. 365, pp. 130477-130477
Closed Access | Times Cited: 38
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
Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows
Hugo Toledo-Alvarado, Ana I. Vázquez, Gustavo de los Campos, et al.
Journal of Dairy Science (2017) Vol. 101, Iss. 3, pp. 2496-2505
Open Access | Times Cited: 45
Milk mid-infrared spectral data as a tool to predict feed intake in lactating Norwegian Red dairy cows
S. E. Wallen, E. Prestløkken, T.H.E. Meuwissen, et al.
Journal of Dairy Science (2018) Vol. 101, Iss. 7, pp. 6232-6243
Open Access | Times Cited: 45
Assessing the effect of pregnancy stage on milk composition of dairy cows using mid-infrared spectra
Antoine Lainé, Catherine Bastin, Clément Grelet, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 4, pp. 2863-2876
Open Access | Times Cited: 40
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
Pauline Delhez, Phuong N. Ho, Nicolas Gengler, et al.
Journal of Dairy Science (2020) Vol. 103, Iss. 4, pp. 3264-3274
Open Access | Times Cited: 34
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
Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques
Maria Frizzarin, Isobel Claire Gormley, D.P. Berry, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 6, pp. 4232-4244
Open Access | Times Cited: 12
Predicting methane emissions of individual grazing dairy cows from spectral analyses of their milk samples
S. McParland, Maria Frizzarin, B. Lahart, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 2, pp. 978-991
Open Access | Times Cited: 11
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
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
Technological advances in genetic improvement of feed efficiency in dairy cattle: A review
Matome Andrias Madilindi, Oliver T. Zishiri, Bekezela Dube, et al.
Livestock Science (2022) Vol. 258, pp. 104871-104871
Closed Access | Times Cited: 17
Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle
Ludmila Zavadilová, Eva Kašná, Z. Krupová, et al.
Czech Journal of Animal Science (2025)
Open Access
Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation
H. Hu, Sébastien Franceschini, Pauline Lemal, et al.
Journal of Dairy Science (2025)
Open Access
Strategies for noise reduction and standardization of milk mid-infrared spectra from dairy cattle
Kathryn Tiplady, Richard G. Sherlock, Mathew D. Littlejohn, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 7, pp. 6357-6372
Open Access | Times Cited: 29
FTIR spectroscopy with chemometrics for determination of tylosin residues in milk
Alexandre GM de Freitas, Bárbara Elizabeth Alves de Magalhães, Lucas AC Minho, et al.
Journal of the Science of Food and Agriculture (2020) Vol. 101, Iss. 5, pp. 1854-1860
Closed Access | Times Cited: 27
Opportunities and challenges of phenomics applied to livestock and aquaculture breeding in South America
Ricardo Vieira Ventura, Fabiano Ferreira da Silva, José M. Yáñez, et al.
Animal Frontiers (2020) Vol. 10, Iss. 2, pp. 45-52
Open Access | Times Cited: 24
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