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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:

Evaluation of the diagnostic accuracy of MRI in detection of knee cartilage lesions using Receiver Operating Characteristic curves
Przemysław Krakowski, Robert Karpiński, Ryszard Maciejewski, et al.
Journal of Physics Conference Series (2021) Vol. 1736, Iss. 1, pp. 012028-012028
Open Access | Times Cited: 16

Showing 16 citing articles:

Cartilage Integrity: A Review of Mechanical and Frictional Properties and Repair Approaches in Osteoarthritis
Przemysław Krakowski, Adrian Rejniak, Jakub Sobczyk, et al.
Healthcare (2024) Vol. 12, Iss. 16, pp. 1648-1648
Open Access | Times Cited: 58
Application of 3D Printing in Bone Grafts
Adam Brachet, Aleksandra Bełżek, Daria Furtak, et al.
Cells (2023) Vol. 12, Iss. 6, pp. 859-859
Open Access | Times Cited: 41
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
KNEE JOINT OSTEOARTHRITIS DIAGNOSIS BASED ON SELECTED ACOUSTIC SIGNAL DISCRIMINANTS USING MACHINE LEARNING
Robert Karpiński
Applied Computer Science (2022) Vol. 18, Iss. 2, pp. 71-85
Open Access | Times Cited: 39
COMPARISON OF SELECTED CLASSIFICATION METHODS BASED ON MACHINE LEARNING AS A DIAGNOSTIC TOOL FOR KNEE JOINT CARTILAGE DAMAGE BASED ON GENERATED VIBROACOUSTIC PROCESSES
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Applied Computer Science (2023) Vol. 19, Iss. 4, pp. 136-150
Open Access | Times Cited: 23
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
Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part I: Femoral-Tibial Joint
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2176-2176
Open Access | Times Cited: 33
The role of outpatient needle arthroscopy in the diagnosis and management of musculoskeletal complaints: A systematic review of the Arthrex NanoScope
J. Burt, V Smith, C.W. Gee, et al.
The Knee (2023) Vol. 42, pp. 246-257
Closed Access | Times Cited: 13
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
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
Assessment of Calcaneal Spongy Bone Magnetic Resonance Characteristics in Women: A Comparison between Measures Obtained at 0.3 T, 1.5 T, and 3.0 T
Silvia Capuani, Alessandra Maiuro, Emiliano Giampà, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1050-1050
Open Access | Times Cited: 1
The role of in-office needle arthroscopy in orthopedic practice: A review
Vineet Thomas Abraham, Srinivas B. S. Kambhampati, Riccardo D.’Ambrosi
Journal of Arthroscopic Surgery and Sports Medicine (2024), pp. 1-8
Open Access | Times Cited: 1
Estimation of differences in selected indices of vibroacoustic signals between healthy and osteoarthritic patellofemoral joints as a potential non-invasive diagnostic tool
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Journal of Physics Conference Series (2021) Vol. 2130, Iss. 1, pp. 012009-012009
Open Access | Times Cited: 10
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
Optimizing glaucoma diagnosis using fundus and optical coherence tomography image fusion based on multi-modal convolutional neural network approach
Nanditha Krishna, K. Nagamani
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4005-4005
Open Access
An Observational Study on the Prediction of Range of Motion in Soldiers Diagnosed with Patellar Tendinopathy Using Ultrasound Shear Wave Elastography
Min-Woo Kim, Dong-Ha Lee, Young-Chae Seo
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1263-1263
Open Access
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