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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:

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

Showing 21 citing articles:

Prediction of detailed blood metabolic profile using milk infrared spectra and machine learning methods in dairy cattle
Diana Giannuzzi, Lúcio Flávio Macêdo Mota, Sara Pegolo, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 5, pp. 3321-3344
Open Access | Times Cited: 20
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
Invited review: Iodine level in dairy products—A feed-to-fork overview
Giovanni Niero, Giulio Visentin, Simona Censi, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 4, pp. 2213-2229
Open Access | Times Cited: 14
Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle
Lúcio Flávio Macêdo Mota, Vittoria Bisutti, A. Vanzin, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 3, pp. 1853-1873
Open Access | Times Cited: 10
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
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: 3
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
Genetic analysis of milk minerals in dairy cattle: a review
Akansha Singh, Amit Kumar, Mohan Singh Thakur, et al.
Journal of Applied Genetics (2024) Vol. 65, Iss. 2, pp. 375-381
Closed Access | Times Cited: 2
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
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
Multiple Breeds and Countries’ Predictions of Mineral Contents in Milk from Milk Mid-Infrared Spectrometry
Octave S. Christophe, Clément Grelet, Carlo Bertozzi, et al.
Foods (2021) Vol. 10, Iss. 9, pp. 2235-2235
Open Access | Times Cited: 12
Associations of lameness with milk composition, fatty acid profile, and milk coagulation properties in mid-lactation high-yielding Holstein cows
Marko Kass, Priit Karis, Ragnar Leming, et al.
International Dairy Journal (2024) Vol. 153, pp. 105908-105908
Closed Access | Times Cited: 1
Single-step genome-wide association analyses for selected infrared-predicted cheese-making traits in Walloon Holstein cows
H. Atashi, Y. Chen, Hélène Wilmot, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 11, pp. 7816-7831
Open Access | Times Cited: 3
Rapid Detection and Spectroscopic Feature Analysis of Mineral Content in Camel Milk Using Fourier-Transform Mid-Infrared Spectroscopy and Traditional Machine Learning Algorithms
Yongqing Li, Yikai Fan, J. Gao, et al.
Food Control (2024), pp. 110983-110983
Closed Access
Minerals and vitamin B2 in flavoured dairy products
Anna Gliszczyńska‐Świgło, Iga Rybicka
Journal of Food Composition and Analysis (2023) Vol. 124, pp. 105695-105695
Closed Access | Times Cited: 1
Change of Spectral Photoluminescent Properties of Milk during Souring
Mikhail V. Belyakov, Gennady Samarin, Alexander Kudryavtsev, et al.
Engineering Technologies and Systems (2022) Vol. 32, Iss. 3, pp. 460-475
Open Access | Times Cited: 1
The Use of KASP Technology to Study Associations of Single Nucleotide Polymorphisms in the GPAD4, CCL3, DGKG, PPARGC1A, STAT1, and TLR4 Genes with Milk Production in Cattle
M. V. Modorov, A. A. Kleshcheva, K. R. Osintseva, et al.
Russian Journal of Genetics (2022) Vol. 58, Iss. 12, pp. 1551-1555
Closed Access | Times Cited: 1
A meta-analysis of genetic parameter estimates for milk and serum minerals in dairy cows
Navid Ghavi Hossein‐Zadeh
Journal of Dairy Research (2022) Vol. 89, Iss. 1, pp. 19-28
Closed Access

Petr Senin -Editor-In-Chief, A. Levtsev, Svetlana Gordina, et al.
Engineering Technologies and Systems (2022) Vol. 32, Iss. 3
Open Access
Desimination of Technology Application of Blood Flow Current Technology in Puskesmas
Iswanto Suwarno, Muhammad Ahmad Baballe, Irfan Ahmad, et al.
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia (2021) Vol. 1, Iss. 11, pp. 437-442
Open Access
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