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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 1-25 of 83 citing articles:

Diagnosis of Parkinson's disease based on SHAP value feature selection
Yuchun Liu, Zhihui Liu, Xue Luo, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 856-869
Closed Access | Times Cited: 80
Dynamic Candidate Solution Boosted Beluga Whale Optimization Algorithm for Biomedical Classification
Essam H. Houssein, Awny Sayed
Mathematics (2023) Vol. 11, Iss. 3, pp. 707-707
Open Access | Times Cited: 77
A hybrid system for Parkinson’s disease diagnosis using machine learning techniques
Rohit Lamba, Tarun Gulati, Hadeel Alharbi, et al.
International Journal of Speech Technology (2021) Vol. 25, Iss. 3, pp. 583-593
Closed Access | Times Cited: 87
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 62
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
Parkinson’s Disease Detection Using Hybrid LSTM-GRU Deep Learning Model
Amjad Rehman, Tanzila Saba, Muhammad Mujahid, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2856-2856
Open Access | Times Cited: 32
Deep Feature Extraction From the Vocal Vectors Using Sparse Autoencoders for Parkinson’s Classification
Yanhao Xiong, Yaohua Lu
IEEE Access (2020) Vol. 8, pp. 27821-27830
Open Access | Times Cited: 60
Efficient detection of Parkinson's disease using deep learning techniques over medical data
Lipsita Sahu, Rohit Sharma, Ipsita Sahu, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Closed Access | Times Cited: 47
Machine Learning Methods with Decision Forests for Parkinson’s Detection
Moumita Pramanik, Ratika Pradhan, Parvati Nandy, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 581-581
Open Access | Times Cited: 45
Proposing a new approach based on convolutional neural networks and random forest for the diagnosis of Parkinson's disease from speech signals
Gaffari Çelik, Erdal Başaran
Applied Acoustics (2023) Vol. 211, pp. 109476-109476
Closed Access | Times Cited: 16
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson’s Disease
Mehedi Masud, Parminder Singh, Gurjot Singh Gaba, et al.
ACM Transactions on Internet Technology (2021) Vol. 21, Iss. 3, pp. 1-18
Closed Access | Times Cited: 38
A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease
Rytis Maskeliūnas, Robertas Damaševičius, Audrius Kulikajevas, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11601-11601
Open Access | Times Cited: 25
Automated Motor Tic Detection: A Machine Learning Approach
Nele Sophie Brügge, Gesine Marie Sallandt, Ronja Schappert, et al.
Movement Disorders (2023) Vol. 38, Iss. 7, pp. 1327-1335
Open Access | Times Cited: 15
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 5
Exploring Multimodal Framework of Optimized Feature-Based Machine Learning to Revolutionize the Diagnosis of Parkinson’s Disease: AI-Driven Insights
Fahmida Khanom, Rafid Mostafiz, Khandaker Mohammad Mohi Uddin
Deleted Journal (2025)
Closed Access
Hybrid Approach to Voice-Based Classification of Parkinson’s Disease
Luís Silva, Maria J. Ramos
Lecture notes in networks and systems (2025), pp. 189-199
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
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
Improving Imbalanced Dataset Classification Using Oversampling and Gradient Boosting
Nurheri Cahyana, Siti Khomsah, Agus Sasmito Aribowo
(2019), pp. 217-222
Closed Access | Times Cited: 39
BiLSTM with Data Augmentation using Interpolation Methods to Improve Early Detection of Parkinson Disease
Robertas Damaševičius, Olusola Abayomi‐Alli, Rytis Maskeliūnas, et al.
Annals of Computer Science and Information Systems (2020) Vol. 21, pp. 371-380
Open Access | Times Cited: 34
Classification of Parkinson disease using binary Rao optimization algorithms
Suvita Rani Sharma, Birmohan Singh, Manpreet Kaur
Expert Systems (2021) Vol. 38, Iss. 4
Closed Access | Times Cited: 29
Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data
Manal Alrawis, Saad Al-Ahmadi, Farah Mohammad
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3883-3883
Open Access | Times Cited: 4
Parkinson's disease diagnosis: The effect of autoencoders on extracting features from vocal characteristics
Ashena Gorgan Mohammadi, Pouya Mehralian, Amir Naseri, et al.
Array (2021) Vol. 11, pp. 100079-100079
Open Access | Times Cited: 25
CMBA-SVM: a clinical approach for Parkinson disease diagnosis
Bibhuprasad Sahu, Sachi Nandan Mohanty
International Journal of Information Technology (2021) Vol. 13, Iss. 2, pp. 647-655
Closed Access | Times Cited: 23
An Analysis of Vocal Features for Parkinson’s Disease Classification Using Evolutionary Algorithms
Son Vu Truong Dao, Zhiqiu Yu, Ly Van Tran, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1980-1980
Open Access | Times Cited: 18
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