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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 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

Showing 1-25 of 38 citing articles:

In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle
Diana Giannuzzi, Lúcio Flávio Macêdo Mota, Sara Pegolo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Predictions of Milk Fatty Acid Contents by Mid-Infrared Spectroscopy in Chinese Holstein Cows
Xiuxin Zhao, Yuetong Song, Yuanpei Zhang, et al.
Molecules (2023) Vol. 28, Iss. 2, pp. 666-666
Open Access | Times Cited: 16
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
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping
Tomas Klingström, Emelie Zonabend König, Avhashoni Agnes Zwane
Briefings in Functional Genomics (2024)
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
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
Comparison of genomic prediction accuracies in dairy cattle lactation traits using five classes of functional variants versus generic SNP
Setegn Worku Alemu, Thomas Lopdell, Alexander J. Trevarton, et al.
Genetics Selection Evolution (2025) Vol. 57, Iss. 1
Open Access
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
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
Genetic parameters of differential somatic cell count, milk composition, and cheese-making traits measured and predicted using spectral data in Holstein cows
Sara Pegolo, Lúcio Flávio Macêdo Mota, Vittoria Bisutti, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 10, pp. 10934-10949
Open Access | Times Cited: 19
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
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
Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at herd-level using mid-infrared spectral information from routine milk control
Amy Birkinshaw, Michael Sutter, Madlene Nussbaum, et al.
Journal of Dairy Science (2024)
Open Access | Times Cited: 2
Prediction of Acute and Chronic Mastitis in Dairy Cows Based on Somatic Cell Score and Mid-Infrared Spectroscopy of Milk
Lisa Rienesl, Negar Khayatzdadeh, A. Köck, et al.
Animals (2022) Vol. 12, Iss. 14, pp. 1830-1830
Open Access | Times Cited: 10
Predicting nitrogen use efficiency, nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid-infrared spectra of milk samples
Rui Shi, Wenqi Lou, B.J. Ducro, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples
Eva Samková, J. Špička, Oto Hanuš, et al.
Animals (2020) Vol. 10, Iss. 6, pp. 1095-1095
Open Access | Times Cited: 16
Use of differential somatic cell count, somatic cell score, and milk mid-infrared spectral analysis for monitoring mastitis in dairy cows during routine milk recording
Lisa Rienesl, Mathias Marginter, Peter Stückler, et al.
Livestock Science (2022) Vol. 264, pp. 105050-105050
Closed Access | Times Cited: 10
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
Spectral Profiling (Fourier Transform Infrared Spectroscopy) and Machine Learning for the Recognition of Milk from Different Bovine Breeds
Anna Antonella Spina, Carlotta Ceniti, Rosario De Fazio, et al.
Animals (2024) Vol. 14, Iss. 9, pp. 1271-1271
Open Access | Times Cited: 1
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
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
Non-destructive diagnosis of Inflammatory Bowel Disease by near-infrared spectroscopy and aquaphotomics
Saba Behdad, Reza Massudi, A. Pakdel
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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
Phenotypic and genetic characterization of the occurrence of noncoagulating milk in dairy sheep
Fabio Correddu, Giustino Gaspa, Alberto Cesarani, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 8, pp. 6773-6782
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
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