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:

Classifying Parkinson’s Disease Using Resting State Electroencephalogram Signals and U EN -PDNet
Syed Qasim Afser Rizvi, Guojun Wang, Asif Khan, et al.
IEEE Access (2023) Vol. 11, pp. 107703-107724
Open Access | Times Cited: 12

Showing 12 citing articles:

Parkinson’s disease diagnosis using deep learning: A bibliometric analysis and literature review
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Sarminah Samad, et al.
Ageing Research Reviews (2024) Vol. 96, pp. 102285-102285
Closed Access | Times Cited: 11

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 | Times Cited: 1

A systematic literature review on municipal solid waste management using machine learning and deep learning
Ishaan Dawar, Anurag K. Srivastava, Maanas Singal, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access | Times Cited: 1

Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI
Mohammad Bdaqli, Afshin Shoeibi, Parisa Moridian, et al.
Lecture notes in computer science (2024), pp. 128-138
Closed Access | Times Cited: 7

Cloud computing-based framework for heart disease classification using quantum machine learning approach
Huda Ghazi Enad, Mazin Abed Mohammed
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 6

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

Optimizing Parkinson’s Disease Detection: Hybrid S-transform-EEG Feature Reduction Through Trajectory Analysis
Melina Maria Afonso, Damodar Reddy Edla, R. Ravinder Reddy
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access

Reliable jumping deep learning (RJDL) classifiers
Mehdi Khashei, Fatemeh Chahkoutahi, Ali Zeinal Hamadani
Journal of Ambient Intelligence and Humanized Computing (2025)
Closed Access

A Crossbreed and Powerful Machine Learning Archetype for Unparalleled Safety and Effectiveness in Wireless Sensor Networks
Deepak Sharma, K. V. Shahnaz, T. Helan Vidhya, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access

Enhanced feature vector reduction of S-transformed electroencephalography signal for optimal Parkinson’s disease detection
Melina Maria Afonso, Damodar Reddy Edla, Sridhar Chintala, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107922-107922
Closed Access

Hybrid Bat and Salp Swarm Algorithm for Feature Selection and Classification of Crisis-Related Tweets in Social Networks
Nafees Akhter Farooqui, Mohammad Kamrul Hasan, Mohammed Ahsan Raza Noori, et al.
IEEE Access (2024) Vol. 12, pp. 103908-103920
Open Access | Times Cited: 2

Critical analysis of Parkinson’s disease detection using EEG sub-bands and gated recurrent unit
Nauman Khalid, Muhammad Ehsan
Engineering Science and Technology an International Journal (2024) Vol. 59, pp. 101855-101855
Open Access

Machine Learning based Early Detection and Monitoring of Parkinson Disease
Aanandha Saravanan K, Aloy Anuja Mary G, B. Sathyasri, et al.
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-6
Closed Access | Times Cited: 1

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