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:

Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals
Mehmet Fatih Karakaş, Fatma Lati̇foğlu
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1769-1769
Open Access | Times Cited: 9

Showing 9 citing articles:

An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
Siuly Siuly, Smith K. Khare, Enamul Kabir, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108462-108462
Open Access | Times Cited: 14
BGWO-Based Classification of Parkinson's Disease via MEG Signals
Zahraa Awad Ghani, Firas Sabar Miften
Communications in computer and information science (2025), pp. 72-86
Closed Access
Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan
Physical and Engineering Sciences in Medicine (2025)
Closed Access
High-performance classification of STEMI and NSTEMI by automatic feature selection from ECG signals: a triple approach
Fatma Lati̇foğlu, Semra İçer, Ayşegül Güven, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms
Fatma Lati̇foğlu, Sultan Penekli, Fırat ORHANBULUCU, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9297-9311
Open Access | Times Cited: 4
A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features
Neslihan Baki, Nurhan Gürsel Özmen
Sakarya University Journal of Science (2024) Vol. 28, Iss. 5, pp. 912-923
Open Access | Times Cited: 1
Research Analysis on Current Advances in Parkinson’s Disease Detection Using Signal Processing and Machine Learning-Based Techniques
Kshitij Goel, Neetu Sood, Indu Saini
Lecture notes in networks and systems (2024), pp. 133-144
Closed Access
Parkinson's Recognition Method Based on Orthogonal Minimum Spanning Trees and Spatiotemporal Networks
Zengpan Ge, Baomin Xu
(2024), pp. 607-611
Closed Access
Ensemble Method in Parkinson's Disease Classification via EEG signals
Thi-Nhu-Quynh Nguyen, Hoang-Thuy-Tien Vo, Tuan Van Huynh
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2023), pp. 418-423
Closed Access
Page 1

Scroll to top