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:
Mid infrared spectroscopy and milk quality traits: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 219, pp. 104442-104442
Open Access | Times Cited: 12
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 219, pp. 104442-104442
Open Access | Times Cited: 12
Showing 12 citing articles:
Spectroscopic technologies and data fusion: Applications for the dairy industry
Elena Hayes, Derek Greene, Colm P. O’Donnell, et al.
Frontiers in Nutrition (2023) Vol. 9
Open Access | Times Cited: 28
Elena Hayes, Derek Greene, Colm P. O’Donnell, et al.
Frontiers in Nutrition (2023) Vol. 9
Open Access | Times Cited: 28
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
Maria Frizzarin, Giulio Visentin, Alessandro Ferragina, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 234, pp. 104755-104755
Open Access | Times Cited: 12
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
Saeedeh Mohammadi, Aoife Gowen, Jiani Luo, et al.
Food Control (2024) Vol. 165, pp. 110658-110658
Open Access | Times Cited: 4
Clustering functional data via variational inference
Chengqian Xian, Camila P. E. de Souza, John Jewell, et al.
Advances in Data Analysis and Classification (2024)
Closed Access | Times Cited: 1
Chengqian Xian, Camila P. E. de Souza, John Jewell, et al.
Advances in Data Analysis and Classification (2024)
Closed Access | Times Cited: 1
A novel infrared spectral preprocessing method based on self-deconvolution and differentiation in the frequency domain
Peng Shan, Junyi Liu, Zhonghai He, et al.
Vibrational Spectroscopy (2023) Vol. 127, pp. 103562-103562
Closed Access | Times Cited: 2
Peng Shan, Junyi Liu, Zhonghai He, et al.
Vibrational Spectroscopy (2023) Vol. 127, pp. 103562-103562
Closed Access | Times Cited: 2
What is to be gained by ensemble models in analysis of spectroscopic data?
Katarina Domijan
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 241, pp. 104936-104936
Open Access | Times Cited: 2
Katarina Domijan
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 241, pp. 104936-104936
Open Access | Times Cited: 2
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Lecture notes in computer science (2023), pp. 205-229
Open Access | Times Cited: 2
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Lecture notes in computer science (2023), pp. 205-229
Open Access | Times Cited: 2
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy
Federico Ferraccioli, Alessandro Casa, Marco Stefanucci
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024) Vol. 73, Iss. 5, pp. 1370-1388
Closed Access
Federico Ferraccioli, Alessandro Casa, Marco Stefanucci
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024) Vol. 73, Iss. 5, pp. 1370-1388
Closed Access
Lactose prediction in dry milk with hyperspectral imaging: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2024”
Maria Frizzarin, Vicky Caponigro, Katarina Domijan, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105279-105279
Closed Access
Maria Frizzarin, Vicky Caponigro, Katarina Domijan, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105279-105279
Closed Access
Chemometric techniques for the prediction of milk composition from MIR spectral data: A review
Josefina Barrera Morelli, Cushla McGoverin, Michél K. Nieuwoudt, et al.
Food Chemistry (2024) Vol. 469, pp. 142465-142465
Open Access
Josefina Barrera Morelli, Cushla McGoverin, Michél K. Nieuwoudt, et al.
Food Chemistry (2024) Vol. 469, pp. 142465-142465
Open Access
Milk Quality Prediction by Using a Supervised Machine Learning Algorithm and Arduino Uno
S. Priyadharshini, Neville E. Sanjana, R. B. Yoghasree, et al.
Lecture notes in networks and systems (2024), pp. 505-515
Closed Access
S. Priyadharshini, Neville E. Sanjana, R. B. Yoghasree, et al.
Lecture notes in networks and systems (2024), pp. 505-515
Closed Access
A short tutorial for time series classification and explanation with MrSQM
Thach Le Nguyen, Georgiana Ifrim
Software Impacts (2021) Vol. 11, pp. 100197-100197
Open Access | Times Cited: 2
Thach Le Nguyen, Georgiana Ifrim
Software Impacts (2021) Vol. 11, pp. 100197-100197
Open Access | Times Cited: 2
