OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A new method of cardiac sympathetic index estimation using a 1D-convolutional neural network
Marcin Kołodziej, Andrzej Majkowski, Paweł Tarnowski, et al.
Bulletin of the Polish Academy of Sciences Technical Sciences (2021), pp. 136921-136921
Open Access | Times Cited: 5

Showing 5 citing articles:

An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signal
Mostafa Ghaempour, Kourosh Hassanli, Ebrahim Abiri
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 2, pp. 025041-025041
Closed Access | Times Cited: 4

Deep Neural Network Concepts for Classification using Convolutional Neural Network: A Systematic Review and Evaluation
Mohammad Gouse Galety, Firas Hussam Al Mukthar, Rebaz Maaroof, et al.
Technium Romanian Journal of Applied Sciences and Technology (2021) Vol. 3, Iss. 8, pp. 58-70
Open Access | Times Cited: 19

Computational Intelligence in engineering practice
S. Osowski, Bartosz Sawicki, Andrzej Cichocki
Bulletin of the Polish Academy of Sciences Technical Sciences (2021), pp. 137052-137052
Open Access | Times Cited: 2

Convolutional Neural Network-Based Classification of Steady-State Visually Evoked Potentials with Limited Training Data
Marcin Kołodziej, Andrzej Majkowski, Remigiusz J. Rak, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13350-13350
Open Access

Page 1

Scroll to top