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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:

Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques
Candelaria de Haro, Verónica Santos-Pulpón, Irene Telías, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Esfuerzos respiratorios inefectivos y sus potenciales consecuencias durante la ventilación mecánica
Mauro Robertino Del Bono, L. Felipe Damiani, Gustavo Plotnikow, et al.
Medicina Intensiva (2025), pp. 502133-502133
Closed Access
Ineffective respiratory efforts and their potential consequences during mechanical ventilation
Mauro Robertino Del Bono, L. Felipe Damiani, Gustavo Plotnikow, et al.
Medicina Intensiva (English Edition) (2025), pp. 502133-502133
Closed Access
Monitoring effort and respiratory drive in patients with acute respiratory failure
Guillaume Carteaux, Rémi Coudroy
Current Opinion in Critical Care (2025)
Closed Access
Setting the ventilator with AI support: challenges and perspectives
Sebastian Fritsch, Maurizio Cecconi
Intensive Care Medicine (2025)
Open Access
Let’s get in sync: current standing and future of AI-based detection of patient-ventilator asynchrony
Thijs P. Rietveld, Björn J. P. van der Ster, Abraham Schoe, et al.
Intensive Care Medicine Experimental (2025) Vol. 13, Iss. 1
Open Access
Does patient-ventilator asynchrony really matter?
Mattia Docci, Antenor Rodrigues, Sebastián Dubó, et al.
Current Opinion in Critical Care (2024)
Closed Access | Times Cited: 3
Monitoring respiratory muscles effort during mechanical ventilation
Julien P. van Oosten, Evangelia Akoumianaki, Annemijn H. Jonkman
Current Opinion in Critical Care (2024)
Open Access | Times Cited: 3
Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108323-108323
Open Access | Times Cited: 2
Bridging the Gap Between Detection, Understanding, and Future Innovation in Patient-Ventilator Asynchronies
Marc Notó, Lluís Blanch, Candelaria de Haro
Respiratory Care (2024) Vol. 69, Iss. 7, pp. 902-904
Closed Access | Times Cited: 1
Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient
Lluís Blanch, Verónica Santos-Pulpón, Oriol Roca, et al.
Intensive Care Medicine (2024) Vol. 50, Iss. 6, pp. 1015-1016
Closed Access
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