Open Access Helper

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:

Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson’s Disease
İsmail Cantürk, Osman Günay
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1198-1209
Open Access | Times Cited: 9

Showing 9 citing articles:

Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest
Şenol Çelik, Semiha Sude Özgüzel, İsmail Cantürk
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-16
Closed Access
Scalogram based performance comparison of deep learning architectures for dysarthric speech detection
Shaik Mulla Shabber, E.P. Sumesh, V. Ramachandran
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Machine Learning Analysis of the Telemonitoring Voice Dataset for Enhanced Parkinson's Disease Severity Prediction
Aman Darolia, Rajender Singh Chhillar
Research Square (Research Square) (2025)
Closed Access
A hybrid approach to detecting Parkinson's disease using spectrogram and deep learning CNN-LSTM network
V. Shibina, T. M. Thasleema
International Journal of Speech Technology (2024) Vol. 27, Iss. 3, pp. 657-671
Closed Access | Times Cited: 1
Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases
Farhad Abedinzadeh Torghabeh, Elham Ahmadi Moghadam, Seyyed Abed Hosseini
Gait & Posture (2024) Vol. 113, pp. 443-451
Closed Access | Times Cited: 1
Deep Learning-Based Method for Detecting Parkinson using 1D Convolutional Neural Networks and Improved Jellyfish Algorithms
Arogia Victor Paul M, Sharmila Shankar
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 6, pp. 515-522
Open Access
Pathological voice detection using optimized deep residual neural network and explainable artificial intelligence
Roohum Jegan, R. Jayagowri
Multimedia Tools and Applications (2024)
Closed Access
Deep CNN for Parkinson’s Disease Classification Using Line Spectral Frequency Images of Sustained Speech Phonation
Rani Kumari, Prakash Ramachandran
IETE Journal of Research (2024), pp. 1-18
Closed Access
Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data
Osman Küçük, İsmail Cantürk
Orclever Proceedings of Research and Development (2024) Vol. 5, Iss. 1, pp. 210-214
Closed Access
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