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:

Low invasive multisensor acquisition system for real-time monitoring of cardiovascular and respiratory parameters
Riccardo Pernice, Antonino Parisi, Saverio Guarino, et al.
(2020), pp. 306-310
Open Access | Times Cited: 6

Showing 6 citing articles:

Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review
Francesco Scardulla, Gloria Cosoli, Susanna Spinsante, et al.
Measurement (2023) Vol. 218, pp. 113150-113150
Open Access | Times Cited: 27

A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography
Gabriele Volpes, Laura Sparacino, Simone Valenti, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Open Access | Times Cited: 3

Design of Health Detection System for Elderly Smart Watch Based on Biosignal Acquisition
Zhu Zhu, Peixian Wang, Fuguang Wang
Journal of Sensors (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 1

Low-invasive multisensor real-time acquisition system for the assessment of cardiorespiratory and skin conductance parameters
Gabriele Volpes, Simone Valenti, Antonino Parisi, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022) Vol. 115, pp. 936-941
Open Access | Times Cited: 1

A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications
Simone Valenti, Gabriele Volpes, Antonino Parisi, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Open Access | Times Cited: 1

FPGA-Based Error Correction in MEMS Sensors: Case Study of Respiration Monitoring System
Idir Mellal, Y. Fouzar, Mourad Laghrouche, et al.
Studies in Infrastructure and Control (2022), pp. 65-89
Closed Access

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