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:

Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals
Burak Erem, R. Martinez Orellana, Damon E. Hyde, et al.
Physical review. E (2016) Vol. 93, Iss. 4
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
Min Han, Shoubo Feng, C. L. Philip Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 9, pp. 1809-1821
Closed Access | Times Cited: 116

Sequential and efficient neural-population coding of complex task information
Sue Ann Koay, Adam S. Charles, Stephan Y. Thiberge, et al.
Neuron (2021) Vol. 110, Iss. 2, pp. 328-349.e11
Open Access | Times Cited: 63

Deep reconstruction of strange attractors from time series
William Gilpin
arXiv (Cornell University) (2020)
Open Access | Times Cited: 27

Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey
Jianfeng Xu, Yuanjian Zhang, Yuanjian Zhang, et al.
International Journal of Information Technology & Decision Making (2016) Vol. 16, Iss. 01, pp. 117-159
Closed Access | Times Cited: 23

New approach for visualization of relationships between RR and JT intervals
Pranas Ziaukas, Abdullah Alabdulgader, Alfonsas Vainoras, et al.
PLoS ONE (2017) Vol. 12, Iss. 4, pp. e0174279-e0174279
Open Access | Times Cited: 16

Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress
Wilson Good, Burak Erem, Brian Zenger, et al.
Journal of Electrocardiology (2018) Vol. 51, Iss. 6, pp. S116-S120
Open Access | Times Cited: 15

Tensor Completion with Shift-invariant Cosine Bases
Tatsuya Yokota, Hidekata Hontani
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2018), pp. 1325-1333
Closed Access | Times Cited: 14

Sequential and efficient neural-population coding of complex task information
Sue Ann Koay, Adam S. Charles, Stephan Y. Thiberge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 10

Uncovering transitions in paleoclimate time series and the climate driven demise of an ancient civilization
Nishant Malik
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 8
Closed Access | Times Cited: 10

Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction
W.W. Good, Burak Erem, Brian Zenger, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 104059-104059
Open Access | Times Cited: 9

Dynamic Electrical Source Imaging (DESI) of Seizures and Interictal Epileptic Discharges Without Ensemble Averaging
Burak Erem, Damon E. Hyde, Jurriaan M. Peters, et al.
IEEE Transactions on Medical Imaging (2016) Vol. 36, Iss. 1, pp. 98-110
Open Access | Times Cited: 6

Selection of Phase Space Reconstruction Parameters for EMG Signals of the Uterus
Ewelina Brzozowska, Marta Borowska
Studies in Logic Grammar and Rhetoric (2016) Vol. 47, Iss. 1, pp. 47-59
Open Access | Times Cited: 6

Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity
Wilson Good, Burak Erem, Jaume Coll‐Font, et al.
Computing in cardiology (2017)
Open Access | Times Cited: 6

Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space
Wilson Good, Burak Erem, Jaume Coll‐Font, et al.
Computing in cardiology (2016)
Open Access | Times Cited: 5

Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface
Wilson Good, Burak Erek, Jaume Coll‐Font, et al.
Computing in cardiology (2018)
Open Access | Times Cited: 5

Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation
Vaiva Šiaučiūnaitė, Minvydas Ragulskis, Alfonsas Vainoras, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2190-2190
Open Access | Times Cited: 4

Time-Domain Analysis of the Electrocardiogram
Ioanna Chouvarda, Dimitrios Filos, Nicos Maglaveras
Series in bioengineering (2019), pp. 81-102
Closed Access | Times Cited: 3

Deep learning of dynamical attractors from time series measurements
William Gilpin
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3

Using a manifold-based approach to extract clinical codes associated with winter respiratory viruses at an emergency department
Clément Péalat, Guillaume Bouleux, Vincent Cheutet, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120620-120620
Open Access | Times Cited: 1

Applications of Nonlinear Methods to Atrial Fibrillation
Raúl Alcaraz, J.J. Rieta
Springer eBooks (2017), pp. 387-426
Closed Access | Times Cited: 2

Can Laplacian Eigenmaps be used for differentiation between healthy subjects and patients with corrected Tetralogy of Fallot?
Ben Jacobs, Amalia Villa Gómez, Jonathan Moeyersons, et al.
Computing in cardiology (2020)
Open Access | Times Cited: 2

A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization
Hiromu Takayama, Tatsuya Yokota
IEEE Access (2023) Vol. 11, pp. 67526-67539
Open Access

A unified framework for multi-lead ECG characterization using Laplacian Eigenmaps
Amalia Villa, Sebastian Ingelaere, Ben Jacobs, et al.
Physiological Measurement (2023) Vol. 44, Iss. 7, pp. 075006-075006
Open Access

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