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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:

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review
M. Vozda, Martin Černý
Biomedical Signal Processing and Control (2015) Vol. 19, pp. 23-34
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning
Hamed Moradi, Akram Al‐Hourani, Gianmarco Concilia, et al.
Biophysical Reviews (2023) Vol. 15, Iss. 1, pp. 19-33
Open Access | Times Cited: 38
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5186-5186
Open Access | Times Cited: 49
Comparison of Different Electrocardiography with Vectorcardiography Transformations
René Jaroš, Radek Martínek, Lukáš Danys
Sensors (2019) Vol. 19, Iss. 14, pp. 3072-3072
Open Access | Times Cited: 49
Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes
Albert Feeny, John Rickard, Kevin Trulock, et al.
Circulation Arrhythmia and Electrophysiology (2020) Vol. 13, Iss. 7
Open Access | Times Cited: 38
Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease
Jaroslav Vondrak, Marek Penhaker
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 18
Synthesis of Electrocardiogram V-Lead Signals From Limb-Lead Measurement Using R-Peak Aligned Generative Adversarial Network
Jee‐Eun Lee, Kyeong Taek Oh, Byeong-Nam Kim, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1265-1275
Closed Access | Times Cited: 24
A Deep Learning Architecture Using 3D Vectorcardiogram to Detect R-Peaks in ECG with Enhanced Precision
Maroua Mehri, Guillaume Calmon, Freddy Odille, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2288-2288
Open Access | Times Cited: 7
Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography
Yu‐Hung Chuang, Chia-Ling Huang, Wen-Whei Chang, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7246-7246
Open Access | Times Cited: 16
The relationship between ECG predictors of cardiac resynchronization therapy benefit
Josef Halámek, Pavel Leinveber, Ivo Viščor, et al.
PLoS ONE (2019) Vol. 14, Iss. 5, pp. e0217097-e0217097
Open Access | Times Cited: 17
Emergency horn detection using embedded systems
Josef Paleček, Martin Černý
(2016), pp. 257-261
Closed Access | Times Cited: 13
Enhancing Comprehensive Assessments in Chronic Heart Failure Caused by Ischemic Heart Disease: The Diagnostic Utility of Holter ECG Parameters
Ștefania-Teodora Duca, Ionuț Tudorancea, Mihai Ștefan Cristian Haba, et al.
Medicina (2024) Vol. 60, Iss. 8, pp. 1315-1315
Open Access | Times Cited: 1
Spatial QRS-T angle variants for prediction of all-cause mortality
Karina Kück, Jonas L. Isaksen, Claus Graff, et al.
Journal of Electrocardiology (2018) Vol. 51, Iss. 5, pp. 768-775
Open Access | Times Cited: 14
Can the Regression Trees Be Used to Model Relation Between ECG Leads?
Ivan Tomašić, Roman Trobec, María Lindén
Springer eBooks (2016), pp. 467-472
Closed Access | Times Cited: 12
Selected transformation methods and their comparison for VCG leads deriving
Jaroslav Vondrak, Marek Penhaker, Frantisek Jurek
Alexandria Engineering Journal (2021) Vol. 61, Iss. 5, pp. 3475-3485
Open Access | Times Cited: 11
Present results and methods of vectorcardiographic diagnostics of ischemic heart disease
Jan Kijonka, P Vávra, Marek Penhaker, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107781-107781
Closed Access | Times Cited: 2
Individualization of a vectorcardiographic model by a particle swarm optimization
M. Vozda, Frantisek Jurek, Martin Černý
Biomedical Signal Processing and Control (2015) Vol. 22, pp. 65-73
Closed Access | Times Cited: 4
Lead Theory of Differential Leads and Synthesis of the Standard 12-Lead ECG
Roman Trobec, Ivan Tomaši, Aleksandra Rashkovska, et al.
SpringerBriefs in applied sciences and technology (2017), pp. 77-100
Closed Access | Times Cited: 4
A Screening System for Myocardial Ischemia Based on Pathophysiological Vectorcardiogram
Zongyu Sun, Xiaohui Duan, Xuhui Nie, et al.
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (2017) Vol. 101, pp. 339-344
Closed Access | Times Cited: 4
Computational vectorelectrocardiography: comparison of representations according to McPhee-Parungao and Frank
Д. В. Дроздов, I. L. Kozlovskaya, E Sh Kozhemyakina, et al.
Medical alphabet (2024), Iss. 15, pp. 24-30
Closed Access
Forward problem of electrocardiography based on cardiac source vector orientations
H Reshma, Vikas Bhat, H Anitha
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035036-035036
Open Access
Efficient Electrocardiogram Generation Based on Cardiac Electric Vector Simulation Model
Wenge Que, Yingnan Bian, Shengjie Chen, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108629-108629
Closed Access
Convert Orthogonal Leads VCG to 12-Lead ECG Signals with a Novel Deep Learning Method
Chaolv Zeng, Wei Luo, Hao Chen, et al.
(2024), pp. 547-551
Closed Access
The Implications of the Lead Theory on the Patch ECG Devices Positioning and Measurement
Ivan Tomašić, Aleksandra Rashkovska, Roman Trobec, et al.
IFMBE proceedings (2018), pp. 693-696
Closed Access | Times Cited: 3
Lead transformations and the dipole approximation: Practical applications
Jan A. Kors
Journal of Electrocardiology (2015) Vol. 48, Iss. 6, pp. 1040-1044
Closed Access | Times Cited: 2
ECG signals classification with neighborhood feature extraction method
Çiğdem Bakır
(2015), pp. 1-4
Closed Access | Times Cited: 2
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