Open Access Helper

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:

Review on Compressive Sensing Algorithms for ECG Signal for IoT Based Deep Learning Framework
Subramanyam Shashi Kumar, Prakash Ramachandran
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8368-8368
Open Access | Times Cited: 13

Showing 13 citing articles:

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 36
Compressed Sensing Approach for Physiological Signals: A Review
Bharat Lal, Raffaele Gravina, Fanny Spagnolo, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 6, pp. 5513-5534
Open Access | Times Cited: 32
A Fast and Super-Resolution Method of Vortex-Based Imaging
Ting Jiang, Jun Hu, S. N. Luo, et al.
IEEE Antennas and Wireless Propagation Letters (2023) Vol. 22, Iss. 9, pp. 2225-2229
Closed Access | Times Cited: 4
Diagnosis of Arrhythmia from Compressively Sensed ECG Signals Using Machine Learning Algorithms
Nimmy Ann Mathew, Renu Jose
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 09
Closed Access | Times Cited: 1
Abnormal ECG Detection in Wearable Devices Using Compressed Learning
Bharat Lal, Qimeng Li, Pasquale Corsonello, et al.
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) (2023), pp. 1-6
Closed Access | Times Cited: 3
Advancing Sensor-Data Based PAT Image Reconstruction Through Efficient and Intelligible Unrolled Networks
Mary John, Imad Barhumi
IEEE Access (2023) Vol. 11, pp. 117053-117066
Open Access | Times Cited: 2
Predicting Cardiovascular Disease: A Scoping Survey on different Datasets and DL/ML Models using ECG
Nouhaila Akouz, Asmae El Ghazi, Wassima Moutaouakil, et al.
(2024), pp. 1-6
Closed Access
Real-time FPGA Integration for ECG Monitoring: Bidirectional Recurrent Chimp Search Model
K G Shanthi, A. Mary Joy Kinol, S. Santhi, et al.
IETE Journal of Research (2024) Vol. 70, Iss. 8, pp. 6848-6863
Closed Access
Nested compressive sensing for ECG signals using novel hybrid two-level approach of DWT and DCT sensing and sparsification
Subramanyam Shashi Kumar, Prakash Ramachandran
Deleted Journal (2024) Vol. 7, Iss. 1
Open Access
Multi-Class ECG Signal Processing and Classification using CWT based on various Deep Neural Networks
Subramanyam Shashi Kumar, Prakash Ramachandran
(2023), pp. 1-5
Closed Access | Times Cited: 1
Special Issue: “Research on Biomedical Signal Processing”
M. Varanini, Alessandro Tonacci, Lucia Billeci
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7347-7347
Open Access
A Compressive Sensing Codec Architecture for ECG Signals with Adaptive Quantization and Stream Entropy Coding
Shailesh Kumar, Surendra Prasad, Brejesh Lall
(2022)
Open Access
A Compressive Sensing Codec Architecture for ECG Signals with Adaptive Quantization and Stream Entropy Coding
Shailesh Kumar, Surendra Prasad, Brejesh Lall
(2022)
Open Access
Page 1

Scroll to top