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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:

A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Md Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25469-e25469
Open Access | Times Cited: 19

Showing 19 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
Next‐Generation Chemiresistive Wearable Breath Sensors for Non‐Invasive Healthcare Monitoring: Advances in Composite and Hybrid Materials
Gulshan Verma, Ankur Gupta
Small (2025)
Open Access | Times Cited: 1
Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction
Md Ariful Islam, Md. Ziaul Hasan Majumder, Md. Sohel Miah, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108432-108432
Closed Access | Times Cited: 6
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
Deep learning vs. conventional methods for parkinson's disease diagnosis: a systematic review
Sowjanya Vuddanti, A. Srinagesh
Salud Ciencia y Tecnología - Serie de Conferencias (2025) Vol. 4, pp. 1353-1353
Closed Access
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey
Aite Zhao, Yongcan Liu, Xinglin Yu, et al.
Information Fusion (2025), pp. 103175-103175
Closed Access
A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques
S. Priyadharshini, K. Ramkumar, V. Subramaniyaswamy, et al.
Alexandria Engineering Journal (2024) Vol. 107, pp. 568-582
Open Access | Times Cited: 4
Segment anything model-based segmentation with inception-ResNet-v2 classifier for Parkinson's disease diagnosis and metaverse visualization
V. Balamurugan, K. Sivasankari
Computers in Biology and Medicine (2025) Vol. 187, pp. 109732-109732
Closed Access
Machine Learning Analysis of the Telemonitoring Voice Dataset for Enhanced Parkinson's Disease Severity Prediction
Aman Darolia, Rajender Singh Chhillar
Research Square (Research Square) (2025)
Closed Access
The role of artificial intelligence in drug screening, drug design, and clinical trials
Yaojiong Wu, Li Ma, Xinyi Li, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 3
EA-CNN: Enhanced Attention-CNN with Explainable AI for Fruit and Vegetable Classification
Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40820-e40820
Open Access | Times Cited: 1
Late fused multi-modal neural network with votingclassifier for Parkinson’s Disease detection
Abeer Aljohani
Research Square (Research Square) (2024)
Open Access
Late feature fusion using neural network with voting classifier for Parkinson’s disease detection
Abeer Aljohani
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Enhancing Early Diagnosis of Parkinson’s Disease with Ensemble Machine Learning
Ayesha Saba, Tabassum Ara, Juhi Sudarsan, et al.
(2024), pp. 1-9
Closed Access
Smart Monitoring of Parkinson's Disease With Cloud-IoT Technologies
B V Baiju, P. Suresh, V. Ceronmani Sharmila, et al.
Advances in healthcare information systems and administration book series (2024), pp. 205-234
Closed Access
The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology
Marco Fantini, Gabriele Ciravegna, Alkis Koudounas, et al.
Cureus (2024)
Open Access
Enhanced Parkinson’s Disease Diagnosis via MRI Analysis: Integrating Deep Features From DenseNet201 With Neural Network Techniques
Jyoti Kumari, Santi Kumari Behera, Prabira Kumar Sethy, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
SimCLR-based Self-Supervised Learning Approach for Limited Brain MRI and Unlabeled Images
Kazım Fırıldak, Gaffari Çelik, Muhammed Fatih Talu
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi (2024)
Open Access
Optimized Fault Classification in Electric Vehicle Drive Motors Using Advanced Machine Learning and Data Transformation Techniques
S. Thirunavukkarasu, K. Karthick, S. Aruna, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2648-2648
Open Access
Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning
Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2728-2728
Open Access
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