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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:

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: 28

Showing 1-25 of 28 citing articles:

Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions
Clément Grelet, Pierre Dardenne, Hélène Soyeurt, et al.
Methods (2020) Vol. 186, pp. 97-111
Closed Access | Times Cited: 62
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
Milk fatty acids and rumen composition as proxy measures of enteric methane
Timothy P. Bilton, S. M. Hickey, Arjan Jonker, et al.
Journal of Dairy Science (2025)
Open Access
Symposium review: Big data, big predictions: Utilizing milk Fourier-transform infrared and genomics to improve hyperketonemia management
Ryan S. Pralle, Heather M. White
Journal of Dairy Science (2020) Vol. 103, Iss. 4, pp. 3867-3873
Open Access | Times Cited: 24
Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
Kathryn Tiplady, Thomas Lopdell, Edwardo Reynolds, et al.
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 23
Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins
Kathryn Tiplady, Thomas Lopdell, Richard G. Sherlock, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 12, pp. 9763-9791
Open Access | Times Cited: 14
Calibration Maintenance Application of Near-infrared Spectrometric Model in Food Analysis
Lu Qiao, Yingchun Mu, Bing Lu, et al.
Food Reviews International (2021) Vol. 39, Iss. 3, pp. 1628-1644
Closed Access | Times Cited: 18
Fourier transform mid-infrared milk screening to improve milk production and processing
Hélène Soyeurt
JDS Communications (2023) Vol. 4, Iss. 2, pp. 61-64
Open Access | Times Cited: 7
Research on a new standardization method for milk FT-MIRS on different instruments based on agglomerative clustering and application strategies
Yikai Fan, Zhuo Yang, Guochang Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109422-109422
Closed Access | Times Cited: 2
Prediction of fatty acid composition using milk spectral data and its associations with various mid-infrared spectral regions in Michigan Holsteins
G. Rovere, G. de los Campos, A.L. Lock, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 10, pp. 11242-11258
Open Access | Times Cited: 15
Novel prediction models for hyperketonemia using bovine milk Fourier-transform infrared spectroscopy
Emil Walleser, Juan Francisco Mandujano Reyes, Kelly Anklam, et al.
Preventive Veterinary Medicine (2023) Vol. 213, pp. 105860-105860
Open Access | Times Cited: 6
Hydration dominates dielectric spectroscopy‐based high accuracy quantification of lactose content in cow's milk
Donggen Fang, Ke Yang, Jieliang Zhu, et al.
Journal of the Science of Food and Agriculture (2023) Vol. 103, Iss. 12, pp. 5873-5882
Closed Access | Times Cited: 5
Energy balance of dairy cows predicted by mid-infra-red spectra data of milk using Bayesian approaches
G. Rovere, Gustavo de los Campos, Grum Gebreyesus, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 3, pp. 1561-1576
Open Access | Times Cited: 5
Standardization method, testing scenario, and accuracy of the infrared prediction model affect the standardization accuracy of milk mid-infrared spectra
Wenqi Lou, Haibo Lu, Xiaoli Ren, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 11, pp. 9404-9414
Open Access | Times Cited: 1
Mastitis has a cumulative and lasting effect on milk yield and lactose content in dairy cows
Angela Costa, H. Bovenhuis, C. Egger-Danner, et al.
Journal of Dairy Science (2024)
Open Access | Times Cited: 1
Opportunities to Harness High-Throughput and Novel Sensing Phenotypes to Improve Feed Efficiency in Dairy Cattle
Cori J. Siberski-Cooper, James E. Koltes
Animals (2021) Vol. 12, Iss. 1, pp. 15-15
Open Access | Times Cited: 10
The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows
Piush Khanal, Robert J. Tempelman
Journal of Dairy Science (2022) Vol. 105, Iss. 4, pp. 3209-3221
Open Access | Times Cited: 7
Pregnancy status predicted using milk mid-infrared spectra from dairy cattle
Kathryn Tiplady, Minh-Hieu Trinh, Stephen R. Davis, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 4, pp. 3615-3632
Open Access | Times Cited: 7
Breed of goat affects the prediction accuracy of milk coagulation properties using Fourier-transform infrared spectroscopy
Giorgia Stocco, Christos Dadousis, Giuseppe Massimo Vacca, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 4, pp. 3956-3969
Open Access | Times Cited: 9
Prediction accuracies of cheese-making traits using Fourier-transform infrared spectra in goat milk
Giorgia Stocco, Christos Dadousis, Michele Pazzola, et al.
Food Chemistry (2022) Vol. 403, pp. 134403-134403
Open Access | Times Cited: 6
The use of milk Fourier-transform infrared spectra for predicting cheesemaking traits in Grana Padano Protected Designation of Origin cheese
Arnaud Molle, Claudio Cipolat‐Gotet, Giorgia Stocco, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 4, pp. 1967-1979
Open Access | Times Cited: 3
Assessing the relationship between somatic cell count and the milk mid‐infrared spectrum in Chinese Holstein cows
Chao Du, Xiaoli Ren, Chu Chu, et al.
Veterinary Record (2023) Vol. 193, Iss. 11
Closed Access | Times Cited: 3
Goat farm variability affects milk Fourier-transform infrared spectra used for predicting coagulation properties
Christos Dadousis, Claudio Cipolat‐Gotet, Giorgia Stocco, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 4, pp. 3927-3935
Open Access | Times Cited: 7
Full model selection using regression trees for numeric predictions of biomarkers for metabolic challenges in dairy cows
Juan Francisco Mandujano Reyes, Emil Walleser, Sabrina Hachenberg, et al.
Preventive Veterinary Medicine (2021) Vol. 193, pp. 105422-105422
Closed Access | Times Cited: 5
An Optimized Neural Network Model to Predict Milk Quality
R Ravi Kumar, Srinivas Mudepalli, Nandigama Sathish, et al.
(2024), pp. 326-331
Closed Access
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