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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:

Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review
Sebastian Raubitzek, Thomas Neubauer
Entropy (2021) Vol. 23, Iss. 12, pp. 1672-1672
Open Access | Times Cited: 23

Showing 23 citing articles:

Enhancing solar irradiance prediction for sustainable energy solutions employing a hybrid machine learning model; improving hydrogen production through Photoelectrochemical device
Yandi Zhang
Applied Energy (2025) Vol. 382, pp. 125280-125280
Closed Access | Times Cited: 1
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
Frederic von Wegner, Milena Wiemers, Gesine Hermann, et al.
Brain Topography (2023) Vol. 37, Iss. 2, pp. 296-311
Open Access | Times Cited: 13
Potentials and limitations of complexity research for environmental sciences and modern farming applications
Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer, et al.
Current Opinion in Environmental Sustainability (2024) Vol. 67, pp. 101429-101429
Closed Access | Times Cited: 4
An Efficient Algorithm for Resource Optimization in Optical Communication Network
Dong Yan, Peng Qi, Mehdi Houichi, et al.
Optics Express (2025) Vol. 33, Iss. 2, pp. 2138-2138
Open Access
Estimating Combinatorial t-Way Coverage Based on Matrix Complexity Metrics
Luiza Corpaci, Michael Wagner, Sebastian Raubitzek, et al.
Lecture notes in computer science (2025), pp. 3-20
Closed Access
Detection of deterministic and chaotic signals on the basis of the LSTM model training results
Paweł Kasprowski, Dariusz Augustyn, Agnieszka Szczȩsna, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 3
Closed Access
MTEE: Multiscale Temporal Entropy Evaluation Paradigm for Heterogeneous Complex Datasets
L. An, Chenyang Wang, Shaoyuan Huang, et al.
Lecture notes in computer science (2025), pp. 409-420
Closed Access
An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data
Sebastian Raubitzek, Thomas Neubauer
Entropy (2022) Vol. 24, Iss. 3, pp. 332-332
Open Access | Times Cited: 14
Machine learning RNNs, SVM and NN Algorithm for Massive-MIMO-OTFS 6G Waveform with Rician and Rayleigh channel
Арун Кумар, Nishant Gaur, Aziz Nanthaamornphong
Egyptian Informatics Journal (2024) Vol. 27, pp. 100531-100531
Open Access | Times Cited: 2
The Causality and Uncertainty of the COVID-19 Pandemic to Bursa Malaysia Financial Services Index’s Constituents
Daeng Ahmad Zuhri Zuhud, Muhammad Hasannudin Musa, Munira Ismail, et al.
Entropy (2022) Vol. 24, Iss. 8, pp. 1100-1100
Open Access | Times Cited: 12
Complexity measures for EEG microstate sequences - concepts and algorithms
Frederic von Wegner, Milena Wiemers, Gesine Hermann, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps
Xiuhua Si, Junshi Wang, Haibo Dong, et al.
Acoustics (2023) Vol. 5, Iss. 4, pp. 1046-1065
Open Access | Times Cited: 5
Temporal complexity of EEG encodes human alertness
Mohammad Hadra, Amir Omidvarnia, Mostefa Mesbah
Physiological Measurement (2022) Vol. 43, Iss. 9, pp. 095002-095002
Closed Access | Times Cited: 8
Data-driven method for identifying the expression of the Lyapunov exponent from random data
Xi Chen, Xiaoling Jin, Zhilong Huang
International Journal of Non-Linear Mechanics (2022) Vol. 148, pp. 104268-104268
Closed Access | Times Cited: 8
A Rapid Method to Quantify High-Frequency-Dominant Signals Based on Fixed-Interval Fractal Dimension
Feng Feng, Xinguo Song, Yu Zhang, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 8, pp. 455-455
Open Access | Times Cited: 1
Forecasting Forex Market Volatility Using Deep Learning Models and Complexity Measures
Pavlos I. Zitis, Stelios M. Potirakis, Alex Alexandridis
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 557-557
Open Access | Times Cited: 1
Meditative State Classification Using Neuronal Multi-IMF Band Power and Complexity Features
Swati Singh, Vinay K. Gupta, Tharun Kumar Reddy, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
D-Transformer: A Deep Learning Model for Time Series Prediction
Huyu Wu, Ruoyu Li, Gaojie Sheng, et al.
(2023), pp. 313-316
Closed Access | Times Cited: 2
Phase-Space-Guided Deep Learning For Time Series Forecasting
Jingze Lu, Kaijun Ren, Taikang Yuan, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7200-7204
Closed Access
Measurement of data complexity using machine learning for breast cancer classification
V. Vijayasarvewari, Nur Imanina binti Chumutalib, Muhammad Amiruddin bin Ab Razak, et al.
AIP conference proceedings (2024) Vol. 2883, pp. 050001-050001
Open Access
Cleaned Meta Pseudo Labels-Based Pet Behavior Recognition Using Time-Series Sensor Data
JunHyeok Go, Nammee Moon
Sensors (2024) Vol. 24, Iss. 11, pp. 3391-3391
Open Access
Myoelectric Hand Gesture Recognition using Variational Autoencoder and Sensor Fusion
Keith Currier, Jirui Fu, Nasrin Bayat, et al.
Research Square (Research Square) (2024)
Open Access
Reconstructed Phase Spaces and LSTM Neural Network Ensemble Predictions
Sebastian Raubitzek, Thomas Neubauer
(2022), pp. 40-40
Open Access | Times Cited: 2
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