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:

Nonlinear features of photoplethysmography signals for Non-invasive blood pressure estimation
Fatemeh Shoeibi, Esmaeil Najafiaghdam, Afshin Ebrahimi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105067-105067
Closed Access | Times Cited: 8

Showing 8 citing articles:

A novel method solves the game of complementarity and redundancy in multimodal signals for reconstructing blood pressure signals
Yongjian Li, Meng Chen, Xinge Jiang, et al.
Digital Signal Processing (2025) Vol. 160, pp. 105040-105040
Closed Access

Combining impedance cardiography with Windkessel model for blood pressure estimation
N Zhang, Jiale Chen, Jinting Ma, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107820-107820
Closed Access

Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative
Sayan Sarkar, Aayushman Ghosh
Computers in Biology and Medicine (2023) Vol. 166, pp. 107558-107558
Open Access | Times Cited: 10

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108207-108207
Open Access | Times Cited: 2

IMSF-Net:An improved multi-scale information fusion network for PPG-based blood pressure estimation
Di Wang, Yutong Ye, Bowen Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105791-105791
Closed Access | Times Cited: 4

Towards Non-Invasive and Continuous Blood Pressure Monitoring in Neonatal Intensive Care Using Artificial Intelligence: A Narrative Review
Stephanie Baker, Thiviya Yogavijayan, Yogavijayan Kandasamy
Healthcare (2023) Vol. 11, Iss. 24, pp. 3107-3107
Open Access | Times Cited: 1

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