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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:

Monitoring Parkinson’s Disease in Smart Cities
Musaed Alhussein
IEEE Access (2017) Vol. 5, pp. 19835-19841
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges
Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.
Smart Cities (2021) Vol. 4, Iss. 2, pp. 429-475
Open Access | Times Cited: 357
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges
Alaa Awad Abdellatif, Amr Mohamed, Carla Fabiana Chiasserini, et al.
IEEE Network (2019) Vol. 33, Iss. 3, pp. 196-203
Open Access | Times Cited: 234
Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Liaqat Ali, Ashir Javeed, Adeeb Noor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Feature-driven machine learning to improve early diagnosis of Parkinson's disease
Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog
Expert Systems with Applications (2018) Vol. 110, pp. 182-190
Closed Access | Times Cited: 147
An Internet of Things-based health prescription assistant and its security system design
Mahmud Hossain, S. M. Riazul Islam, Farman Ali, et al.
Future Generation Computer Systems (2017) Vol. 82, pp. 422-439
Open Access | Times Cited: 129
Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson’s Disease Severity Using Smartphones
Shaohua Wan, Yan Liang, Yin Zhang⋆, et al.
IEEE Access (2018) Vol. 6, pp. 36825-36833
Open Access | Times Cited: 120
Automated methods for diagnosis of Parkinson’s disease and predicting severity level
Zainab Ayaz, Saeeda Naz, Naila Habib Khan, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 45
The Methods of Fall Detection: A Literature Review
Nishat Tasnim Newaz, Eisuke Hanada
Sensors (2023) Vol. 23, Iss. 11, pp. 5212-5212
Open Access | Times Cited: 34
Smart City System Design
Hadi Habibzadeh, Cem Kaptan, Tolga Soyata, et al.
ACM Computing Surveys (2019) Vol. 52, Iss. 2, pp. 1-38
Open Access | Times Cited: 68
An internet of things-based smart homes and healthcare monitoring and management system: Review
M. N. Mohammed, S. F. Desyansah, Salah Al-Zubaidi, et al.
Journal of Physics Conference Series (2020) Vol. 1450, Iss. 1, pp. 012079-012079
Open Access | Times Cited: 67
TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities
Kaya Kuru, Darren Ansell
IEEE Access (2020) Vol. 8, pp. 18615-18644
Open Access | Times Cited: 63
Intelligent cyber-physical system for an efficient detection of Parkinson disease using fog computing
Malathi Devarajan, Logesh Ravi
Multimedia Tools and Applications (2018) Vol. 78, Iss. 23, pp. 32695-32719
Closed Access | Times Cited: 61
A robust intelligence regression model for monitoring Parkinson’s disease based on speech signals
Ahmed M. Anter, Ali Wagdy Mohamed, Min Zhang, et al.
Future Generation Computer Systems (2023) Vol. 147, pp. 316-327
Closed Access | Times Cited: 21
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 21
A Machine Learning Model for Predicting of Chronic Kidney Disease Based Internet of Things and Cloud Computing in Smart Cities
Ahmed Abdelaziz, Ahmed S. Salama, A. M. Riad, et al.
Lecture notes in intelligent transportation and infrastructure (2018), pp. 93-114
Closed Access | Times Cited: 56
Improving Parkinson's Disease Diagnosis with Machine Learning Methods
Enes Çeli̇k, Sevinç İlhan Omurca
(2019), pp. 1-4
Closed Access | Times Cited: 49
IoTaaS: Drone-Based Internet of Things as a Service Framework for Smart Cities
Mohammad Aminul Hoque, Mahmud Hossain, Shahid Noor, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 14, pp. 12425-12439
Open Access | Times Cited: 36
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
Giovanni Costantini, Valerio Cesarini, Carlo Robotti, et al.
Knowledge-Based Systems (2022) Vol. 253, pp. 109539-109539
Open Access | Times Cited: 27
Fall Detection with Smart Devices for the Elderly Using Machine Learning
Hsuan-Che Yang, Wen-Chih Chang, Wei‐Han Huang, et al.
Lecture notes in electrical engineering (2025), pp. 100-107
Closed Access
DLN-PD: Deep Learning Network for Parkinson’s Disease Detection Over Voice Signals
Akash Shedage, Raghav Agal, Amber Agarwal, et al.
Lecture notes in electrical engineering (2025), pp. 79-89
Closed Access
Swarm Intelligence and IoT-Based Smart Cities: A Review
Ouarda Zedadra, Antonio Guerrieri, Nicolas Jouandeau, et al.
Internet of things (2018), pp. 177-200
Closed Access | Times Cited: 32
A Novel Framework of Two Successive Feature Selection Levels Using Weight-Based Procedure for Voice-Loss Detection in Parkinson’s Disease
Amira S. Ashour, Majid Nour, Kemal Polat, et al.
IEEE Access (2020) Vol. 8, pp. 76193-76203
Open Access | Times Cited: 31
A rest tremor detection system based on internet of thing technology
Safira Faizah, Dian Nugraha, Mohammed N. Abdulrazaq, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 476-476
Open Access | Times Cited: 3
EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System
Ahmed Emam, Alaa Awad Abdellatif, Amr Mohamed, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2019) Vol. 42, pp. 1-7
Closed Access | Times Cited: 28
Balancing Technological Advances with User Needs: User-centered Principles for AI-Driven Smart City Healthcare Monitoring
Ali Hassan, Riza bin Sulaiman, Mansoor A. Abdulgabber, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 8
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