Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 62 citing articles:

Phenotypic variation of dairy cows’ hematic metabolites and feasibility of non-invasive monitoring of the metabolic status in the transition period
Silvia Magro, Angela Costa, Damiano Cavallini, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access | Times Cited: 6
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: 15
Prediction of milk composition using multivariate chemometric modelling of infrared, Raman, and fluorescence spectroscopic data: A review
Saeedeh Mohammadi, Aoife Gowen, Jiani Luo, et al.
Food Control (2024) Vol. 165, pp. 110658-110658
Open Access | Times Cited: 4
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
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
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
Prediction of key milk biomarkers in dairy cows through milk mid-infrared spectra and international collaborations
Clément Grelet, Torben Larsen, M.A. Crowe, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 3, pp. 1669-1684
Open Access | Times Cited: 8
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
Dry Matter Intake Prediction from Milk Spectra in Sarda Dairy Sheep
A. Ledda, S. Carta, Fabio Correddu, et al.
Animals (2023) Vol. 13, Iss. 4, pp. 763-763
Open Access | Times Cited: 7
Mid-infrared spectroscopy for large-scale phenotyping of bovine colostrum gross composition and immunoglobulin concentration
Arianna Goi, Angela Costa, Giulio Visentin, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 9, pp. 6388-6401
Open Access | Times Cited: 7
Effectiveness of near-infrared spectroscopy to predict the chemical composition of feces and total-tract apparent nutrients digestibility estimated with undigestible neutral detergent fiber or acid-insoluble ash in lactating buffaloes' feces
Alberto Guerra, Marica Simoni, Valentina Longobardi, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 8, pp. 5653-5666
Open Access | Times Cited: 2
Effectiveness of energy-dispersive X-ray fluorescence for the quantification of mineral elements in skim milk and whey powders
Marta Pozza, Massimo De Marchi, E. Visentin, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 12, pp. 10352-10360
Open Access | Times Cited: 2
Effect of pasteurization on coagulation properties of bovine milk and the role of major composition traits and protein fractions
Marco Franzoi, Angela Costa, V. Vigolo, et al.
Journal of Food Composition and Analysis (2022) Vol. 114, pp. 104808-104808
Open Access | Times Cited: 12
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
Exploring the use of NIR and Raman spectroscopy for the prediction of quality traits in PDO cheeses
Giorgia Stocco, Laura G. Gómez‐Mascaraque, Gaurav Kr Deshwal, et al.
Frontiers in Nutrition (2024) Vol. 11
Open Access | Times Cited: 2
Real-Time Milk Quality Control Using Multi-Spectral Sensing and Edge Computing: Advancing On-Site Detection of Milk Components with XGBoost
Mahmut Durgun
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10916-10916
Open 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
Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
Sébastien Franceschini, Clément Grelet, Julie Leblois, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 8, pp. 6760-6772
Open Access | Times Cited: 10
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
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
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
Effectiveness of mid-infrared spectroscopy for the prediction of cow milk metabolites
Marco Franzoi, Giovanni Niero, Gaia Meoni, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 8, pp. 5288-5297
Open Access | Times Cited: 5
Genetic analysis of milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation
Y. Chen, H. Hu, H. Atashi, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 5, pp. 3047-3061
Open Access | Times Cited: 5
Multiple Country Approach to Improve the Test-Day Prediction of Dairy Cows’ Dry Matter Intake
Anthony Tedde, Clément Grelet, Phuong N. Ho, et al.
Animals (2021) Vol. 11, Iss. 5, pp. 1316-1316
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top