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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.

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Showing 25 citing articles:

Parkinson classification neural network with mass algorithm for processing speech signals
B. Akila, J. Jesu Vedha Nayahi
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 10165-10181
Closed Access | Times Cited: 9
Parkinson's Disease Prediction and Progression Based on Voice Analysis: A Literature Survey
Hisham H. Jasim, Noor D. Al-Shakarchy
Communications in computer and information science (2025), pp. 57-71
Closed Access
Speech based Parkinson’s Disease Detection using Machine Learning Techniques: A Survey
Anupama Phakatkar, Vrushali Sudhir Taware
SSRN Electronic Journal (2025)
Closed Access
A review of machine learning and deep learning for Parkinson’s disease detection
Helena Rabie, Moulay A. Akhloufi
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Voice analysis in Parkinson’s disease - a systematic literature review
Daniela Xavier, Virginie Felizardo, Beatriz Ferreira, et al.
Artificial Intelligence in Medicine (2025), pp. 103109-103109
Open Access
Minimalist Machine Learning: Binary Classification of Medical Datasets with Matrix Transformations
José-Luis Solorio-Ramírez, Oscar Camacho-Nieto, Cornelio Yáñez-Márquéz
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 2, pp. 277-286
Open Access
Geospatial Data Exploration Using Machine Learning
K. Geetha, A. Srivani, S. Gunasekaran, et al.
(2023), pp. 1485-1489
Closed Access | Times Cited: 10
Analyzing Data Reduction Techniques: An Experimental Perspective
Vítor Fernandes, Gonçalo Carvalho, Vasco Pereira, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3436-3436
Open Access | Times Cited: 2
Analysis of Ensemble of Machine Learning Algorithms for Detection of Parkinson's Disease
Gowthami Tallapureddy, D. Radha
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (2022), pp. 354-361
Closed Access | Times Cited: 11
An Exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in Parkinson’s Disease
S. Sharanyaa, P. N. Renjith, K. Ramesh
Lecture notes in networks and systems (2022), pp. 33-48
Closed Access | Times Cited: 8
Exploring Binary Classification Models for Parkinson’s Disease Detection
Vibha Jain, Rohit Singh, Aditya Gupta
Procedia Computer Science (2024) Vol. 235, pp. 2332-2341
Open Access | Times Cited: 1
DCNET: A Novel Implementation of Gastric Cancer Detection System through Deep Learning Convolution Networks
S. Sharanyaa, S. Vijayalakshmi, M. Therasa, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 6
Parkinson’s Disease Prediction using Fisher Score based Recursive Feature Elimination
R. Aishwarya, Pavitra Kumar, Primal Viola Miranda, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
MR-TBA – An improved Trust-based Security mechanism for IoT Networks
K Jeysuriya
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 10, pp. 1-5
Closed Access
Enhancing Parkinson's Disorder Detection Accuracy: A Machine Learning Approach for Analyzing Voice Signals
S.B. Megasri, P. Shabana Shree, S. Padmadevi, et al.
(2024), pp. 1-8
Closed Access
Machine learning algorithms based on voice measurements for detecting Parkinson’s disease
Ahmed Hammed Ayyal, Sadik Kamel Gharghan, Ammar Hussein Mutlag
AIP conference proceedings (2024) Vol. 3232, pp. 020035-020035
Closed Access
Advancing Parkinson’s Disease Detection: Integrating Machine Learning with Enhanced Feature Selection and Data Augmentation
Hayder Mohammedqasim, Abdulrahman Ahmed Jasim, Roa’a Mohammedqasem, et al.
Lecture notes in networks and systems (2024), pp. 451-465
Closed Access
Machine learning Smart Traffic Prediction and Congestion Reduction
A. Lakshna, K. Ramesh, B. Prabha, et al.
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2021), pp. 1-4
Closed Access | Times Cited: 3
A Machine Learning Approach to Detect Parkinson Disease Using Speech Signals
Prema Arokia Mary G, M. Hema, Nageswara Guptha M, et al.
(2022), pp. 240-244
Closed Access | Times Cited: 2
Live Streaming Data Analysis using Distributed Stochastic Bi-LSTM Model
Kavitha Nair R, Jimsha K Mathew, R Deepika, et al.
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2022), pp. 1-4
Closed Access | Times Cited: 1
Real Time Video To Text Conversion of Sign Language
S. Sharanyaa, S.V. Abinaya Devi, S. Abinaya, et al.
2022 1st International Conference on Computational Science and Technology (ICCST) (2022), pp. 1-3
Closed Access | Times Cited: 1
Exploratory Analysis of Geolocational Data
Rushabh Marathe, Adarsh Jadhav
International Journal of Research Publication and Reviews (2023) Vol. 04, Iss. 02, pp. 728-731
Open Access
Exploratory Geolocational Data
Aamna Malik, Khushbu Shah, Sofiya Sheikh, et al.
IJARCCE (2023) Vol. 12, Iss. 4
Open Access
An Approach Using in Communication Network Apply in Healthcare System Based on the Deep Learning Autoencoder Classification Optimization Metaheuristic Method
Beyhan Gergerli, Fatih V. Çelebi, Javad Rahebi, et al.
Wireless Personal Communications (2023)
Closed Access
Diagnosing Parkinson’s Disease Using Voice Features Based On Deep Learning And Information Gain
N. Ramya, Srinivasan Suganya
(2023), pp. 1-6
Closed Access
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