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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:

RETRACTED ARTICLE: Machine learning ensemble for neurological disorders
Harkawalpreet Kaur, Avleen Malhi, Husanbir Singh Pannu
Neural Computing and Applications (2020) Vol. 32, Iss. 16, pp. 12697-12714
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image
Sayma Alam Suha, Muhammad Nazrul Islam
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 72
An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
Gonçalo Marques, Antonio Ferreras, Isabel de la Torre Díez
Multimedia Tools and Applications (2022) Vol. 81, Iss. 19, pp. 28061-28078
Open Access | Times Cited: 34
A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature
Godson Ebenezer Adjovu, Haroon Stephen, Sajjad Ahmad
Water (2023) Vol. 15, Iss. 13, pp. 2439-2439
Open Access | Times Cited: 18
CNN-based severity prediction of neurodegenerative diseases using gait data
Çağatay Berke Erdaş, Emre Sümer, Seda Kibaroğlu
Digital Health (2022) Vol. 8, pp. 205520762210751-205520762210751
Open Access | Times Cited: 18
Classification of Parkinson's Disease using Speech Attributes with Parametric and Nonparametric Machine Learning Techniques
S. Sharanyaa, P. N. Renjith, K. Ramesh
(2020)
Closed Access | Times Cited: 23
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
Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction
Abdeljalil El-Ibrahimi, Oumaima Terrada, Oussama El Gannour, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 15, pp. 61-76
Open Access | Times Cited: 6
Early diagnosis of Parkinson’s disease using a hybrid method of least squares support vector regression and fuzzy clustering
Hossein Ahmadi, Lin Huo, Goli Arji, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 569-585
Open Access | Times Cited: 1
Utilization of Machine Learning Models and Satellite Data for the Estimation of Total Dissolved Solids in the Colorado River System
Godson Ebenezer Adjovu, Tahir Ali Shaikh, Haroon Stephen, et al.
World Environmental and Water Resources Congress 2011 (2023), pp. 1147-1160
Closed Access | Times Cited: 4
Ordinal classification of the affectation level of 3D-images in Parkinson diseases
Antonio Manuel Durán-Rosal, Julio Camacho-Cañamón, Pedro Antonio Gutiérrez, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Future Perspectives for Automated Neurodegenerative Disorders Diagnosis: Challenges and Possible Research Directions
Attuluri Vamsi Kumar, Sunil Kumar, Vivek Kumar Garg, et al.
Cognitive technologies (2023), pp. 255-267
Closed Access | Times Cited: 3
Predictive modelling of Parkinson’s disease progression based on RNA-Sequence with densely connected deep recurrent neural networks
Siraj Ahmed, Majid Komeili, Jeongwon Park
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
3D Video Tracking Technology in the Assessment of Orofacial Impairments in Neurological Disease: Clinical Validation
Deniz Jafari, Leif Simmatis, Diego L. Guarín, et al.
Journal of Speech Language and Hearing Research (2023) Vol. 66, Iss. 8S, pp. 3151-3165
Closed Access | Times Cited: 2
Application of Machine Learning Algorithms for the Estimation of the Concentration of Total Suspended Solids in the Colorado River Using Landsat 8 Operational Land Imager Data
Godson Ebenezer Adjovu, Haroon Stephen, Sajjad Ahmad
World Environmental and Water Resources Congress 2011 (2024), pp. 1424-1442
Closed Access
Review of Deep Learning Techniques for Neurological Disorders Detection
Akhilesh Kumar Tripathi, Rafeeq Ahmed, Arvind Tiwari
Wireless Personal Communications (2024) Vol. 137, Iss. 2, pp. 1277-1311
Open Access
Comparative Analysis of Cross-Validation Methods on PPMI Dataset
Camilla Calomino, Maria Giovanna Bianco, Giuseppe Oliva, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-5
Closed Access
Stacked ensemble learning based on deep transfer learning models for food ingredient classification and food quality determination
Tan Wei Keong, Zulkifli Husin, Muhammad Amir Hakin Ismail, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18705-18725
Closed Access
Predicting Smart City Traffic Models using Adaboost Regression Method
Özlem Bezek Güre
European Journal of Technic (2024)
Open Access
Heart Disease Prediction: A Comprehensive Exploration of Optimal Predictive AI
Ben Rahman, Teddy Mantoro, Septi Andryana, et al.
Lecture notes in electrical engineering (2024), pp. 197-212
Closed Access
Dementia Disorder Analysis Using Optimized Deep ResiNet Based on Cognitive Approach
Kavitha Duraipandian, Murugan Ambigapathy
Lecture notes in electrical engineering (2024), pp. 17-30
Closed Access
Intelligent personalized diagnosis modeling in advanced medical system for Parkinson's disease using voice signals
Pengcheng Wen, Yuhan Zhang, Guihua Wen
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8085-8102
Open Access | Times Cited: 1
Investigation of ensemble methods in terms of statistics: TIMMS 2019 example
Özlem Bezek Güre
Neural Computing and Applications (2023) Vol. 35, Iss. 32, pp. 23507-23520
Closed Access | Times Cited: 1
Neurological disease prediction using ensembled Machine Learning Model
Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani
(2020), pp. 410-414
Closed Access | Times Cited: 3
Efficient Approaches to Predict Neurological Disorder using Social Networking Sites
Tejaswita Garg, Sanjay Kumar Gupta
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2022), pp. 294-298
Closed Access | Times Cited: 1
Machine Learning Approaches for Efficient Analysis of Neuroimaging Techniques
Alwin Joseph, J. Chandra
SHS Web of Conferences (2022) Vol. 139, pp. 03027-03027
Open Access | Times Cited: 1
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