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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:

Trends in biomedical signal feature extraction
Sridhar Krishnan, Yashodhan Athavale
Biomedical Signal Processing and Control (2018) Vol. 43, pp. 41-63
Closed Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Artificial Intelligence in Healthcare: Review and Prediction Case Studies
Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, et al.
Engineering (2020) Vol. 6, Iss. 3, pp. 291-301
Open Access | Times Cited: 420
Motion artefact management for soft bioelectronics
Junyi Yin, Shaolei Wang, Trinny Tat, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 7, pp. 541-558
Closed Access | Times Cited: 77
Trends in EEG signal feature extraction applications
Anupreet Kaur Singh, Sridhar Krishnan
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 49
Wearable Hardware Design for the Internet of Medical Things (IoMT)
Fayez Qureshi, Sridhar Krishnan
Sensors (2018) Vol. 18, Iss. 11, pp. 3812-3812
Open Access | Times Cited: 135
Design and Analysis of Linear Phase Finite Impulse Response Filter Using Water Strider Optimization Algorithm in FPGA
R. Karthick, A. Senthilselvi, P. Meenalochini, et al.
Circuits Systems and Signal Processing (2022) Vol. 41, Iss. 9, pp. 5254-5282
Closed Access | Times Cited: 48
Wearable Sensors as a Preoperative Assessment Tool: A Review
Aron Syversen, Alexios Dosis, David Jayne, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 482-482
Open Access | Times Cited: 13
Parkinson's disease monitoring from gait analysis via foot-worn sensors
Tunç Aşuroğlu, Koray Açıcı, Çağatay Berke Erdaş, et al.
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 3, pp. 760-772
Closed Access | Times Cited: 63
Integrating imaging and omics data: A review
Laura Antonelli, Mario Rosario Guarracino, Lucia Maddalena, et al.
Biomedical Signal Processing and Control (2019) Vol. 52, pp. 264-280
Closed Access | Times Cited: 57
A Review on Computational Methods for Denoising and Detecting ECG Signals to Detect Cardiovascular Diseases
Prashant Mani Tripathi, Ashish Kumar, Rama Komaragiri, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1875-1914
Closed Access | Times Cited: 49
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
Sanjeev Saini, Rashmi Gupta
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1519-1565
Closed Access | Times Cited: 45
A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction
Ya Li, Jing-hao Luo, Qingyun Dai, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104188-104188
Closed Access | Times Cited: 36
A decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104116-104116
Closed Access | Times Cited: 31
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Artificial intelligence in healthcare: a mastery
Jayanti Mukherjee, Ramesh Sharma, Prasenjit Dutta, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 3, pp. 1659-1708
Closed Access | Times Cited: 21
Analysing the behaviour change of brain regions of methamphetamine abusers using electroencephalogram signals: Hope to design a decision support system
Sepideh Zolfaghari, Yashar Sarbaz, Ali Reza Shafiee‐Kandjani
Addiction Biology (2024) Vol. 29, Iss. 2
Open Access | Times Cited: 6
Skin Lesion Detection and Classification Using Convolutional Neural Network for Deep Feature Extraction and Support Vector Machine
Oscar P. Yanchatuña Aguayo, Jackeline P. Pereira, Kevin O. Pila‐Varela, et al.
International Journal on Advanced Science Engineering and Information Technology (2021) Vol. 11, Iss. 3, pp. 1260-1267
Open Access | Times Cited: 38
Ensemble Machine Learning Based Identification of Pediatric Epilepsy
Shamsah Alotaibi, Atta Rahman, Mohammed Imran Basheer, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 149-165
Open Access | Times Cited: 35
A study on CNN image classification of EEG signals represented in 2D and 3D
Jordan J. Bird, Diego R. Faria, Luis J. Manso, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 2, pp. 026005-026005
Open Access | Times Cited: 34
Artifact Removal from EEG signals using Regenerative Multi-Dimensional Singular Value Decomposition and Independent Component Analysis
A. Mary Judith, S. Baghavathi Priya, Rakesh Kumar Mahendran
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103452-103452
Closed Access | Times Cited: 24
Fuel cell diagnosis methods for embedded automotive applications
Judicaël Aubry, Nadia Yousfi Steiner, Simon Morando, et al.
Energy Reports (2022) Vol. 8, pp. 6687-6706
Open Access | Times Cited: 23
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
Neha Gahlan, Divyashikha Sethia
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106353-106353
Closed Access | Times Cited: 5
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Zilong Yin, Haoyu Wang, Bin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107388-107388
Closed Access
Machine Learning with Brain Data
Ujwal Chaudhary
(2025), pp. 179-223
Closed Access
Emerging Rapid Detection Methods for the Monitoring of Cardiovascular Diseases: Current Trends and Future Perspectives
Rafi u Shan Ahmad, Wasim Khan, Muhammad Shehzad Khan, et al.
Materials Today Bio (2025) Vol. 32, pp. 101663-101663
Open Access
Higuchi fractal dimension: An efficient approach to detection of brain entrainment to theta binaural beats
Elham Shamsi, Mohammad Ali Ahmadi-Pajouh, Tirdad Seifi
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102580-102580
Closed Access | Times Cited: 32
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