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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:

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

Showing 1-25 of 46 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
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging
Md. Rezaul Karim, Jiao Jiao, Till Döhmen, et al.
IEEE Access (2021) Vol. 9, pp. 39757-39780
Open Access | Times Cited: 34
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
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
Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest
Balajee Alphonse, R. Venkatesan, Sudhakar Sengan, et al.
Journal of Ambient Intelligence and Humanized Computing (2021)
Closed Access | Times Cited: 19
CONCEPT AND VALIDATION OF A SYSTEM FOR RECORDING VIBROACOUSTIC SIGNALS OF THE KNEE JOINT
Robert Karpiński, Anna Machrowska, Marcin Maciejewski, et al.
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2024) Vol. 14, Iss. 2, pp. 17-21
Open Access | Times Cited: 2
Multiscale-temporal Feature Extraction and boundary confusion alleviation for VAG-based fine-grained multi-grade osteoarthritis deterioration monitoring
Yangwuyong Zhang, Tongjie Pan, Yalan Ye, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108286-108286
Closed Access | Times Cited: 2
A novel computer-assisted diagnosis method of knee osteoarthritis based on multivariate information and deep learning model
Jiangling Song, Rui Zhang
Digital Signal Processing (2022) Vol. 133, pp. 103863-103863
Closed Access | Times Cited: 11
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
Empirical Comparison of the Feature Evaluation Methods Based on Statistical Measures
Adam Łysiak, M. Szmajda
IEEE Access (2021) Vol. 9, pp. 27868-27883
Open Access | Times Cited: 12
Effects of Viscosupplementation on Quality of Knee Joint Arthrokinematic Motion Analyzed by Vibroarthrography
Dawid Bączkowicz, G. Skiba, M. Szmajda, et al.
Cartilage (2019) Vol. 12, Iss. 4, pp. 438-447
Open Access | Times Cited: 12
The detection of knee joint sounds at defined loads by means of vibroarthrography
Kristin Kalo, Daniel Niederer, Rainer Sus, et al.
Clinical Biomechanics (2020) Vol. 74, pp. 1-7
Closed Access | Times Cited: 12
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
RETRACTED ARTICLE: Security-enhanced machine learning model for diagnosis of knee joint disorders using vibroarthrographic signals
A. Balajee, R. Murugan, K. Venkatesh
Soft Computing (2023) Vol. 27, Iss. 11, pp. 7543-7553
Closed Access | Times Cited: 4
An Artificial Intelligent Methodology to Classify Knee Joint Disorder Using Machine Learning and Image Processing Techniques
M. Sharmila Begum, A. Aruna, A. Balajee, et al.
(2024), pp. 167-187
Closed Access | Times Cited: 1
Influence of external load during back squats on knee joint arthrokinematics analyzed by vibroarthrography
Dorota Borzucka, Krzysztof Kręcisz, Dawid Bączkowicz
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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
Piezoresistive-Based Gait Monitoring Technique for the Recognition of Knee Osteoarthritis Patients
Aobo Wang, Deyi Li, Ning Fan, et al.
IEEE Access (2022) Vol. 10, pp. 123874-123884
Open Access | Times Cited: 7
Machine learning based identification and classification of disorders in human knee joint – computational approach
A. Balajee, R. Venkatesan
Soft Computing (2021) Vol. 25, Iss. 20, pp. 13001-13013
Open Access | Times Cited: 9
An intelligent IoMT enabled feature extraction method for early detection of knee arthritis
Aditya Khamparia, Babita Pandey, Fadi Al‐Turjman, et al.
Expert Systems (2021) Vol. 40, Iss. 4
Closed Access | Times Cited: 8
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
Using Nonlinear Vibroartrographic Parameters for Age-Related Changes Assessment in Knee Arthrokinematics
Krzysztof Kręcisz, Dawid Bączkowicz, Aleksandra Kawala-Sterniuk
Sensors (2022) Vol. 22, Iss. 15, pp. 5549-5549
Open Access | Times Cited: 5
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