Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 26 citing articles:

The Analysis of High Sensitivity Time–Frequency Spectral Parameters in Magnetic Barkhausen Noise for the Characterization of Mechanical Properties
Ping Fu, Yujue Wang, Cunfu He, et al.
Journal of Nondestructive Evaluation (2025) Vol. 44, Iss. 2
Closed Access
Feature extraction and evaluation for quantitative prediction of hardness in bearing steel based on magnetic Barkhausen noise
Cheng Hang, Wenbo Liu, Gerd Dobmann, et al.
NDT & E International (2023) Vol. 139, pp. 102937-102937
Closed Access | Times Cited: 9
Time-Frequency Analysis of Barkhausen Noise for the Needs of Anisotropy Evaluation of Grain-Oriented Steels
Michał Maciusowicz, Grzegorz Psuj
Sensors (2020) Vol. 20, Iss. 3, pp. 768-768
Open Access | Times Cited: 22
Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
Michał Herbko, Przemysław Łopato
Sensors (2019) Vol. 19, Iss. 18, pp. 3989-3989
Open Access | Times Cited: 13
Magnetic Barkhausen Noise Transient Analysis for Microstructure Evolution Characterization with Tensile Stress in Elastic and Plastic Status
Jia Liu, Gui Yun Tian, Bin Gao, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8310-8310
Open Access | Times Cited: 11
Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel
Michał Maciusowicz, Grzegorz Psuj
Materials (2020) Vol. 13, Iss. 15, pp. 3390-3390
Open Access | Times Cited: 8
Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test
Jia Liu, Gui Yun Tian, Bin Gao, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2350-2350
Open Access | Times Cited: 7
Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional Neural Network
Michał Maciusowicz, Grzegorz Psuj, Paweł Kochmański
Materials (2021) Vol. 15, Iss. 1, pp. 118-118
Open Access | Times Cited: 7
Application of Selected Fractal Geometry Resonators in Microstrip Strain Sensors
Michał Herbko, Przemysław Łopato, Grzegorz Psuj, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 13, pp. 12656-12663
Closed Access | Times Cited: 5
Classification of Grain-Oriented Electrical Steel Sheets by Magnetic Barkhausen Noise Using Time-Frequency Analysis and Selected Machine Learning Algorithms
Michał Maciusowicz, Grzegorz Psuj
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12469-12469
Open Access | Times Cited: 5
Double patch sensor for identification of stress level and direction
Michał Herbko, Przemysław Łopato
International Journal of RF and Microwave Computer-Aided Engineering (2019) Vol. 29, Iss. 12
Open Access | Times Cited: 6
Sensitivity Analysis of Circular Microstrip Strain Sensor
Michał Herbko, Przemysław Łopato
(2019), pp. 16-18
Closed Access | Times Cited: 5
Fast Recursive Computation of Sliding DHT with Arbitrary Step
Vitaly Kober
Sensors (2020) Vol. 20, Iss. 19, pp. 5556-5556
Open Access | Times Cited: 5
Classification of process conditions in martensitic stainless steel: A machine learning approach on magnetic Barkhausen emission signals
Manju Mohan, M.M. Ramya
Journal of Applied Physics (2022) Vol. 131, Iss. 12
Closed Access | Times Cited: 3
Evaluation of Hydrogen-Induced Degradation of Steel Through Multispectral Analysis of Magnetic Barkhausen Noise
Grzegorz Psuj, Cesar Giron Camerini, Michał Maciusowicz, et al.
IEEE Transactions on Magnetics (2024) Vol. 60, Iss. 9, pp. 1-5
Closed Access
Analysis of the Possibility of Using Various Time-Frequency Transformation Methods to Barkhausen Noise Characterization for the Need of Magnetic Anisotropy Evaluation in Steels
Michał Maciusowicz, Grzegorz Psuj
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6193-6193
Open Access | Times Cited: 4
Application of a Single Cell Electric-SRR Metamaterial for Strain Evaluation
Michał Herbko, Przemysław Łopato
Materials (2021) Vol. 15, Iss. 1, pp. 291-291
Open Access | Times Cited: 4
Evaluation of Hydrogen-Induced Degradation of Steel Through Multispectral Analysis of Magnetic Barkhausen Noise
Grzegorz Psuj, Cesar Giron Camerini, Michał Maciusowicz, et al.
(2024), pp. 1-2
Closed Access
Evaluation Method of Magnetic Field Stability for Robotic Arc Welding Based on Sample Entropy and Probability Distribution
Senming Zhong, Ping Yao, Xiaojun Wang
Symmetry (2024) Vol. 16, Iss. 7, pp. 905-905
Open Access
Impact of the STFT Window Size on Classification of Grain-Oriented Electrical Steels from Barkhausen Noise Time–Frequency Spectrograms via Deep CNNs
Michał Maciusowicz, Grzegorz Psuj
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 12018-12018
Open Access
A Generalized Classification Framework with Simultaneous Feature Weighting and Selection Using Antlion Optimization Algorithm
Manju Mohan, M.M. Ramya
Research in Nondestructive Evaluation (2023) Vol. 34, Iss. 3-4, pp. 102-120
Closed Access | Times Cited: 1
Mutual Interaction of Guided Waves Having Mixed Polarity for Early Detection of Material Degradation
Cliff J. Lissenden, Anurup Guha, Mostafa Hasanian
Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems (2022) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
Self Magnetic Flux Leakage as a Diagnostic Signal in the Assessment of Active Stress - Analysis of Influence Factors
Maciej Roskosz, A. Złocki, Jerzy Kwaśniewski
Acta Physica Polonica A (2020) Vol. 137, Iss. 5, pp. 690-692
Open Access | Times Cited: 2
A Method for Detecting the Randomness of Barkhausen Noise in a Material Fatigue Test Using Sensitivity and Uncertainty Analysis
Yuting Hou, Xiang Li, Yang Zheng, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5383-5383
Open Access | Times Cited: 2
Time-frequency representation of magnetic Barkhausen noise under various measurement conditions
Michał Maciusowicz, Grzegorz Psuj, P. Chudzik
(2019), pp. 24-29
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top