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:

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

Showing 1-25 of 65 citing articles:

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
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
Quantification of calcium in infant formula using laser-induced breakdown spectroscopy (LIBS), Fourier transform mid-infrared (FT-IR) and Raman spectroscopy combined with chemometrics including data fusion
Ming Zhao, Maria Markiewicz‐Kęszycka, Renwick J. Beattie, et al.
Food Chemistry (2020) Vol. 320, pp. 126639-126639
Open Access | Times Cited: 50
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
Phenotypic characterisation of major mineral composition predicted by mid-infrared spectroscopy in cow milk
Giulio Visentin, Mauro Penasa, Giovanni Niero, et al.
Italian Journal of Animal Science (2017) Vol. 17, Iss. 3, pp. 549-556
Open Access | Times Cited: 49
Mid-infrared (MIR) Spectroscopy for Quality Analysis of Liquid Foods
Wen‐Hao Su, Da‐Wen Sun
Food Engineering Reviews (2019) Vol. 11, Iss. 3, pp. 142-158
Closed Access | Times Cited: 47
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
Feeding cows with hay, silage, or fresh herbage on pasture or indoors affects sensory properties and chemical composition of milk and cheese
Elisa Manzocchi, B. Martin, Cécile Bord, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 5, pp. 5285-5302
Open Access | Times Cited: 33
Technical note: Development and validation of a new method for the quantification of soluble and micellar calcium, magnesium, and potassium in milk
Marco Franzoi, Giovanni Niero, Mauro Penasa, et al.
Journal of Dairy Science (2017) Vol. 101, Iss. 3, pp. 1883-1888
Open Access | Times Cited: 40
Composition, coagulation characteristics, and cheese making capacity of yak milk
Jian Zhang, Ming Yang, Dongyan Cai, et al.
Journal of Dairy Science (2019) Vol. 103, Iss. 2, pp. 1276-1288
Open Access | Times Cited: 37
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
Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle
Vittoria Bisutti, Lúcio Flávio Macêdo Mota, Diana Giannuzzi, et al.
Food Chemistry (2024) Vol. 461, pp. 140800-140800
Open Access | Times Cited: 4
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
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
Mineral composition of cow milk from multibreed herds
Carmen L. Manuelian, Mauro Penasa, Giulio Visentin, et al.
Animal Science Journal (2018) Vol. 89, Iss. 11, pp. 1622-1627
Closed Access | Times Cited: 36
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
Genetic analysis on infrared-predicted milk minerals for Danish dairy cattle
R.M. Zaalberg, Nina Aagaard Poulsen, H. Bovenhuis, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 8, pp. 8947-8958
Open Access | Times Cited: 21
β-Casein variants differently affect bulk milk mineral content, protein composition, and technological traits
V. Vigolo, Marco Franzoi, Mauro Penasa, et al.
International Dairy Journal (2021) Vol. 124, pp. 105221-105221
Closed Access | Times Cited: 21
Quality characteristics and nutrient contents of Bactrian camel milk as determined by mid‐infrared spectroscopy
Yongqing Li, Li Liu, Yikai Fan, et al.
International Journal of Dairy Technology (2024) Vol. 77, Iss. 2, pp. 304-312
Closed Access | Times Cited: 3
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 and nongenetic factors associated with milk color in dairy cows
S. Scarso, S. McParland, Giulio Visentin, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 9, pp. 7345-7361
Open Access | Times Cited: 28
Evaluation of sample preparation methods for NMR-based metabolomics of cow milk
Bénédict Yanibada, Hamid Boudra, Laurent Debrauwer, et al.
Heliyon (2018) Vol. 4, Iss. 10, pp. e00856-e00856
Open Access | Times Cited: 24
Genetic relationships of lactose and freezing point with minerals and coagulation traits predicted from milk mid-infrared spectra in Holstein cows
Angela Costa, Giulio Visentin, Massimo De Marchi, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 8, pp. 7217-7225
Open Access | Times Cited: 24
Effect of total and differential somatic cell count on yield, composition and predicted coagulation properties from individual dairy cows
E Mariani, Claudio Cipolat‐Gotet, Bruno Stefanon, et al.
International Journal of Dairy Technology (2022) Vol. 75, Iss. 2, pp. 298-307
Open Access | Times Cited: 14
Minerals and essential amino acids of bovine colostrum: Phenotypic variability and predictive ability of mid- and near-infrared spectroscopy
Arianna Goi, Massimo De Marchi, Angela Costa
Journal of Dairy Science (2023) Vol. 106, Iss. 12, pp. 8341-8356
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top