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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:

Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis
Yunfeng Wu, Shanshan Yang, Fang Zheng, et al.
Physiological Measurement (2014) Vol. 35, Iss. 3, pp. 429-439
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment
Anna Machrowska, Robert Karpiński, Marcin Maciejewski, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 706-706
Open Access | Times Cited: 3
APPLICATION OF EEMD-DFA ALGORITHMS AND ANN CLASSIFICATION FOR DETECTION OF KNEE OSTEOARTHRITIS USING VIBROARTHROGRAPHY
Anna Machrowska, Robert Karpiński, Marcin Maciejewski, et al.
Applied Computer Science (2024) Vol. 20, Iss. 2, pp. 90-108
Open Access | Times Cited: 13
Entropy Analysis in Gait Research: Methodological Considerations and Recommendations
Jennifer M. Yentes, Peter C. Raffalt
Annals of Biomedical Engineering (2021) Vol. 49, Iss. 3, pp. 979-990
Open Access | Times Cited: 54
Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 36
Quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measures
Yunfeng Wu, Pinnan Chen, Xin Luo, et al.
Computer Methods and Programs in Biomedicine (2016) Vol. 130, pp. 1-12
Closed Access | Times Cited: 47
Analysis of Vibroarthrographic Signals for Knee Abnormality Detection Using FBSE-EWT Hierarchical Frequency Zone Clustering Approach
Krishna Sundeep Basavaraju, T. Kishore Kumar, Nagarjuna Reddy Komalla
IETE Journal of Research (2025), pp. 1-16
Closed Access
Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method
Shanshan Yang, Suxian Cai, Fang Zheng, et al.
Medical Engineering & Physics (2014) Vol. 36, Iss. 10, pp. 1305-1311
Closed Access | Times Cited: 49
Entropy‐based feature extraction and classification of vibroarthographic signal using complete ensemble empirical mode decomposition with adaptive noise
Saif Nalband, A. Amalin Prince, Anita Agrawal
IET Science Measurement & Technology (2017) Vol. 12, Iss. 3, pp. 350-359
Closed Access | Times Cited: 47
Vibroarthrography as a Noninvasive Screening Method for Early Diagnosis of Knee Osteoarthritis: A Review of Current Research
Robert Karpiński, Aleksandra Prus, Kamil Jonak, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 279-279
Open Access | Times Cited: 3
Knee joint vibroarthrography of asymptomatic subjects during loaded flexion-extension movements
Rasmus Elbæk Andersen, Lars Arendt‐Nielsen, Pascal Madeleine
Medical & Biological Engineering & Computing (2018) Vol. 56, Iss. 12, pp. 2301-2312
Closed Access | Times Cited: 29
Time-frequency based feature extraction for the analysis of vibroarthographic signals
Saif Nalband, C. A. Valliappan, A. Amalin Prince, et al.
Computers & Electrical Engineering (2018) Vol. 69, pp. 720-731
Closed Access | Times Cited: 28
Screening of knee-joint vibroarthrographic signals using time and spectral domain features
Mrunal Shidore, Shreeram Athreya, Shantanu Deshpande, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102808-102808
Closed Access | Times Cited: 20
Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review
Dhirendra Kumar Verma, Poonam Kumari, S. Kanagaraj
Annals of Biomedical Engineering (2022) Vol. 50, Iss. 3, pp. 237-252
Closed Access | Times Cited: 15
Classification of knee joint vibroarthrographic signals using k-nearest neighbor algorithm
Kaizhi Liu, Xin Luo, Shanshan Yang, et al.
(2014), pp. 1-4
Closed Access | Times Cited: 16
CLASSIFICATION OF NORMAL AND KNEE JOINT DISORDER VIBROARTHROGRAPHIC SIGNALS USING MULTIFRACTALS AND SUPPORT VECTOR MACHINES
Jac Fredo Agastinose Ronickom, Thomas Raj Josena, Rajkumar Palaniappan, et al.
Biomedical Engineering Applications Basis and Communications (2017) Vol. 29, Iss. 03, pp. 1750016-1750016
Closed Access | Times Cited: 14
A novel automatic Knee Osteoarthritis detection method based on vibroarthrographic signals
Yuntang Wang, Tiantian Zheng, Jiangling Song, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102796-102796
Closed Access | Times Cited: 11
Vibroarthrographic signals for the low-cost and computationally efficient classification of aging and healthy knees
Rui Gong, Hajime Ohtsu, Kazunori HASE, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103003-103003
Open Access | Times Cited: 11
Analysis of Vibroarthrographic signals for classification of knee disorders using Empirical Wavelet Transform based on Statistical measures
Krishna Sundeep Basavaraju, T. K. Satish Kumar, K. Ashoka Reddy, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2023), pp. 1-6
Closed Access | Times Cited: 4
A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints
Józef Jonak, Robert Karpiński, Anna Machrowska, et al.
IOP Conference Series Materials Science and Engineering (2019) Vol. 710, Iss. 1, pp. 012037-012037
Open Access | Times Cited: 10
Quantifying Signal Quality for Joint Acoustic Emissions Using Graph-Based Spectral Embedding
K. Richardson, Sevda Gharehbaghi, Göktuğ C. Özmen, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13676-13684
Open Access | Times Cited: 9
Analysis of differences in vibroacoustic signals between healthy and osteoarthritic knees using EMD algorithm and statistical analysis
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Journal of Physics Conference Series (2021) Vol. 2130, Iss. 1, pp. 012010-012010
Open Access | Times Cited: 9
A Single Subject, Feasibility Study of Using a Non-Contact Measurement to “Visualize” Temperature at Body-Seat Interface
Zhuofu Liu, Vincenzo Cascioli, Peter W. McCarthy
Sensors (2022) Vol. 22, Iss. 10, pp. 3941-3941
Open Access | Times Cited: 5
Feature extraction and classification of knee joint disorders using Hilbert Huang transform
Saif Nalband, C. A. Valliappan, A. Amalin Prince, et al.
2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (2017), pp. 266-269
Closed Access | Times Cited: 6
Monitoring deterioration of knee osteoarthritis using vibration arthrography in daily activities
Yalan Ye, Zhengyi Wan, Benyuan Liu, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 213, pp. 106519-106519
Closed Access | Times Cited: 6
Prediction of atrial fibrillation recurrence before catheter ablation using an adaptive nonlinear and non-stationary surface ECG analysis
Xingran Cui, Hung-Chi Chang, Lian‐Yu Lin, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 514, pp. 9-19
Closed Access | Times Cited: 5
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