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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:

An Automated Algorithm to Extract Time Plane Features from the PPG Signal and its Derivatives for Personal Health Monitoring Application
Abhishek Chakraborty, Deboleena Sadhukhan, Madhuchhanda Mitra
IETE Journal of Research (2019) Vol. 68, Iss. 1, pp. 379-391
Closed Access | Times Cited: 19

Showing 19 citing articles:

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 919-919
Open Access | Times Cited: 60
A Review on Computation Methods Used in Photoplethysmography Signal Analysis for Heart Rate Estimation
Pankaj, Ashish Kumar, Rama Komaragiri, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 921-940
Closed Access | Times Cited: 55
Analysis on Four Derivative Waveforms of Photoplethysmogram (PPG) for Fiducial Point Detection
Mohd Zubir Suboh, Rosmina Jaafar, Nazrul Anuar Nayan, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 30
A Novel Fiducial Point Extraction Algorithm to Detect C and D Points from the Acceleration Photoplethysmogram (CnD)
Saad Abdullah, Abdelakram Hafid, Mia Folke, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1174-1174
Open Access | Times Cited: 7
Automated myocardial infarction identification based on interbeat variability analysis of the photoplethysmographic data
Abhishek Chakraborty, Deboleena Sadhukhan, Saurabh Pal, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101747-101747
Closed Access | Times Cited: 17
PPGFeat: a novel MATLAB toolbox for extracting PPG fiducial points
Saad Abdullah, Abdelakram Hafid, Mia Folke, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 5
A simplified PPG based approach for automated recognition of five distinct emotional states
Avishek Paul, Abhishek Chakraborty, Deboleena Sadhukhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30697-30718
Closed Access | Times Cited: 5
A Robust PPG Onset and Systolic Peak Detection Algorithm Based On Hilbert Transform
Abhishek Chakraborty, Deboleena Sadhukhan, Madhuchhanda Mitra
2020 IEEE Calcutta Conference (CALCON) (2020), pp. 176-180
Closed Access | Times Cited: 12
PPG-BASED AUTOMATED ESTIMATION OF BLOOD PRESSURE USING PATIENT-SPECIFIC NEURAL NETWORK MODELING
Abhishek Chakraborty, Deboleena Sadhukhan, Saurabh Pal, et al.
Journal of Mechanics in Medicine and Biology (2020) Vol. 20, Iss. 06, pp. 2050037-2050037
Closed Access | Times Cited: 9
Relevance of Objective Measures in Psychiatric Disorders—Rest-Activity Rhythm and Psychophysiological Measures
Eunsoo Moon, Michelle Yang, Quinta Seon, et al.
Current Psychiatry Reports (2021) Vol. 23, Iss. 12
Open Access | Times Cited: 9
Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals
Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2022) Vol. 3, pp. 78-85
Open Access | Times Cited: 6
A Wavelet Based Hybrid Method for Time Interval Series Determining
Galya Georgieva-Tsaneva, Krasimir Cheshmedzhiev, Penio Lebamovski
(2024), pp. 137-142
Closed Access
A Machine Learning Approach to Predict Blood Pressure Risk Levels Using Only Maxima and Minima of Photoplethysmogram (Ppg) First and Second Derivatives
Erick Javier Argüello Prada, Carlos Mosquera
(2024)
Closed Access
Optimal segmentation of non-linear and non-stationary time series based on Poincare section and its application in solving EEG-signal
Zolfagharzadeh-Kermani Mahdi, Saeid Rashidi, Asaseh Maryam
Applied Soft Computing (2024) Vol. 166, pp. 112178-112178
Closed Access
Second Derivatives of Photoplethysmogram for Hyperuricemia Classification using Artificial Neural Network
Hafifah Ab Hamid, Nazrul Anuar Nayan, Mohd Zubir Suboh, et al.
(2021), pp. 494-498
Closed Access | Times Cited: 3
Efficient and lightweight detection of PPG onset and systolic peaks using implementable time-domain strategies
Abhishek Chakraborty, Deboleena Sadhukhan, Madhuchhanda Mitra
Measurement (2022) Vol. 200, pp. 111628-111628
Closed Access | Times Cited: 2
Poincaré’s Section Analysis of Photoplethysmography Signals for Cuff-Less Non-Invasive Blood Pressure Measurement
Fatemeh Shoeibi, Esmaeil Najafiaghdam, Afshin Ebrahimi
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Systolic peak detection of photoplethysmograms via regularity approach
Yiting Wei, Bingo Wing‐Kuen Ling, Qing Liu, et al.
2022 IEEE International Conference on Industrial Technology (ICIT) (2023), pp. 1-5
Closed Access
Development of new algorithms for depth of anesthesia monitoring integrating cerebral blood flow estimations
Carmen González
(2019)
Open Access
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