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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:

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

Showing 16 citing articles:

Feature selection and classification methodology for the detection of knee-joint disorders
Saif Nalband, Aditya Sundar, A. Amalin Prince, et al.
Computer Methods and Programs in Biomedicine (2016) Vol. 127, pp. 94-104
Closed Access | Times Cited: 126
A Multi-view Graph Neural Network Approach for Magnetic Resonance Imaging-Based Diagnosis of Knee Injuries
Bin Deng, Jingjing Pan, Xiaoyu Tang, et al.
Communications in computer and information science (2025), pp. 233-246
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
Advance Signal Processing and Machine Learning Approach for Analysis and Classification of Knee Osteoarthritis Vibroarthrographic Signals
Vikas Kumar, Pawan Kumar Jha, Manoj Kumar Parida, et al.
Medical Engineering & Physics (2025) Vol. 138, pp. 104322-104322
Closed Access
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
Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review
G. Syam Kumar, M. Dilip Kumar, Sareddy Venkata Rami Reddy, et al.
Journal of Robotics and Control (JRC) (2023) Vol. 5, Iss. 1, pp. 16-26
Open Access | Times Cited: 7
A survey on vibration and sound analysis for disease detection of knee and hip joints
Dimitri Kraft, Franziska Knaack, Rainer Bader, et al.
(2019), pp. 1-9
Closed Access | Times Cited: 4
Identification of abnormal knee joint vibroarthrographic signals based on fluctuation features
Xin Luo, Pinnan Chen, Shanshan Yang, et al.
(2014), pp. 318-322
Closed Access | Times Cited: 3
Boundary Confusion Alleviation and Multiscale-temporal Feature Extraction for VAG-based Fine-grained Multi-grade Osteoarthritis Deterioration Monitoring
M. Pavithra, C Radhika, B T Annapoorani, et al.
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2024), pp. 1-6
Closed Access
VAG Signal Classification Using Time Domain Statistical Features and Machine Learning
Sanika S. Patankar, Gaurav Durge, A. Joshi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Assessment of cartilage disorder in knee with VAG signals using wavelet transform and neural network
S. Poornapushpakala, M. Subramoniam
(2017), pp. 998-1001
Closed Access | Times Cited: 2
Summary and Research Directions
Yunfeng Wu
SpringerBriefs in bioengineering (2014), pp. 77-81
Closed Access | Times Cited: 1
Detection of Knee Joint Disorders using SVM Classifier
Alphonsa Salu S. J., Jeraldin Auxillia D
International Journal of Scientific Research in Science and Technology (2021), pp. 261-271
Open Access | Times Cited: 1
Feature Computing and Signal Classifications
Yunfeng Wu
SpringerBriefs in bioengineering (2014), pp. 57-76
Closed Access
Extended student quality improvement programs of Xiamen University
Kaizhi Liu, Xin Luo, Shanshan Yang, et al.
(2014)
Closed Access
Feature Extraction and Classification for the Detection of Knee Joint Disorders using Random Forest Classifier
Alphonsa Salu, Jeraldin Auxillia
International Journal of Emerging Trends in Engineering Research (2021) Vol. 9, Iss. 10, pp. 1348-1356
Open Access
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