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:
Measurement sustainability: A first methodological step for its modeling and assessment
Leopoldo Angrisani, Pasquale Arpaïa, Mauro D’Arco, et al.
Measurement (2023) Vol. 209, pp. 112539-112539
Open Access | Times Cited: 5
Leopoldo Angrisani, Pasquale Arpaïa, Mauro D’Arco, et al.
Measurement (2023) Vol. 209, pp. 112539-112539
Open Access | Times Cited: 5
Showing 5 citing articles:
Sustainability-aware measurement design: How to select the right measuring system
Leopoldo Angrisani, Mauro D’Arco, Egidio De Benedetto, et al.
Measurement (2024) Vol. 240, pp. 115493-115493
Open Access
Leopoldo Angrisani, Mauro D’Arco, Egidio De Benedetto, et al.
Measurement (2024) Vol. 240, pp. 115493-115493
Open Access
Towards a Quantitative Evaluation of the Relationship between Performance and Environmental Sustainability of Artificial Intelligence Algorithms
Luigi Duraccio, Leopoldo Angrisani, Mauro D’Arco, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Luigi Duraccio, Leopoldo Angrisani, Mauro D’Arco, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence
Giovanni Annuzzi, Pasquale Arpaïa, Lutgarda Bozzetto, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 278-283
Closed Access | Times Cited: 1
Giovanni Annuzzi, Pasquale Arpaïa, Lutgarda Bozzetto, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 278-283
Closed Access | Times Cited: 1
Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study
Leopoldo Angrisani, Mauro D’Arco, Egidio De Benedetto, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 905-910
Closed Access | Times Cited: 1
Leopoldo Angrisani, Mauro D’Arco, Egidio De Benedetto, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 905-910
Closed Access | Times Cited: 1
Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability
Nadia Piscopo, Lucia Trapanese, Roberta Matera, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 888-892
Closed Access
Nadia Piscopo, Lucia Trapanese, Roberta Matera, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 888-892
Closed Access
