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:

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

Showing 1-25 of 47 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
Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3765-3765
Open Access | Times Cited: 40
Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters
Yunfeng Wu, Pinnan Chen, Xin Luo, et al.
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 265-271
Closed Access | Times Cited: 64
Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features
Nima Befrui, Jens Elsner, Achim Flesser, et al.
Medical & Biological Engineering & Computing (2018) Vol. 56, Iss. 8, pp. 1499-1514
Closed Access | Times Cited: 51
Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach
Navaneethakrishna Makaram, P. A. Karthick, Ramakrishnan Swaminathan
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-8
Closed Access | Times Cited: 40
Vibroarthrographic Signal Classification for Knee Joint Disorder Detection using Tunable Q-factor Wavelet Transform based on Entropy Measures
Krishna Sundeep Basavaraju, T. K. Satish Kumar, K. Ashoka Reddy
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19953-19958
Open Access
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
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
Analysis and multiclass classification of pathological knee joints using vibroarthrographic signals
Krzysztof Kręcisz, Dawid Bączkowicz
Computer Methods and Programs in Biomedicine (2017) Vol. 154, pp. 37-44
Closed Access | Times Cited: 46
Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank
Manish Sharma, U. Rajendra Acharya
Computers & Electrical Engineering (2018) Vol. 72, pp. 191-202
Closed Access | Times Cited: 45
BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species
Limin Jiang, Jingjun Zhang, Ping Xuan, et al.
BioMed Research International (2016) Vol. 2016, pp. 1-11
Open Access | Times Cited: 42
Complex Network Clustering by a Multi-objective Evolutionary Algorithm Based on Decomposition and Membrane Structure
Ying Ju, Songming Zhang, Ningxiang Ding, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 36
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
Double Density Dual-Tree Complex Wavelet Transform-Based Features for Automated Screening of Knee-Joint Vibroarthrographic Signals
Manish Sharma, Pragya Sharma, Ram Bilas Pachori, et al.
Advances in intelligent systems and computing (2018), pp. 279-290
Closed Access | Times Cited: 25
Analysis of patellofemoral arthrokinematic motion quality in open and closed kinetic chains using vibroarthrography
Dawid Bączkowicz, Krzysztof Kręcisz, Zbigniew Borysiuk
BMC Musculoskeletal Disorders (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 24
Effects of Immobilization and Re-Mobilization on Knee Joint Arthrokinematic Motion Quality
Dawid Bączkowicz, G. Skiba, Krzysztof Falkowski, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 2, pp. 451-451
Open Access | Times Cited: 16
Wireless multichannel vibroarthrographic recordings for the assessment of knee osteoarthritis during three activities of daily living
Pascal Madeleine, Rasmus Elbæk Andersen, Jesper Bie Larsen, et al.
Clinical Biomechanics (2019) Vol. 72, pp. 16-23
Open Access | Times Cited: 16
APPLICATION OF ACOUSTIC SIGNAL PROCESSING METHODS IN DETECTING DIFFERENCES BETWEEN OPEN AND CLOSED KINEMATIC CHAIN MOVEMENT FOR THE KNEE JOINT
Robert Karpiński, Anna Machrowska, Marcin Maciejewski
Applied Computer Science (2019) Vol. 15, Iss. 1, pp. 36-48
Open Access | Times Cited: 16
Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification
Adam Łysiak, Anna Froń, Dawid Bączkowicz, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 5015-5015
Open Access | Times Cited: 15
Tunable Q - wavelet transform based features for automated screening of knee-joint vibroarthrographic signals
Jayrajsinh Zala, Manish Sharma, Raghavendra Bhalerao
(2018), pp. 348-352
Closed Access | Times Cited: 13
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
A Computational Method for the Identification of Endolysins and Autolysins
Lei Xu, Guangmin Liang, Baowen Chen, et al.
Protein and Peptide Letters (2019) Vol. 27, Iss. 4, pp. 329-336
Closed Access | Times Cited: 11
A method of feature fusion and dimension reduction for knee joint pathology screening and separability evaluation criteria
Chunyi Ma, Jingyi Yang, Qian Wang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 224, pp. 106992-106992
Closed Access | Times Cited: 7
Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads
Ewelina Ołowiana, Noelle M. Selkow, Kevin G. Laudner, et al.
BMC Sports Science Medicine and Rehabilitation (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 8
<p>Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease</p>
Samira Jafari, Tania Dehesh, Farhad Iranmanesh
Journal of Pain Research (2019) Vol. Volume 12, pp. 1179-1187
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top