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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:

Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
Mehmet Bilal Er, Esme Işık, İbrahim Işık
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103006-103006
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison
Giovanni Costantini, Valerio Cesarini, Pietro Leo, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2293-2293
Open Access | Times Cited: 46
End-to-end deep learning approach for Parkinson’s disease detection from speech signals
Changqin Quan, Kang Ren, Zhiwei Luo, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 2, pp. 556-574
Open Access | Times Cited: 59
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107133-107133
Closed Access | Times Cited: 58
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
Billel Essaid, Hamza Kheddar, Noureddine Batel, et al.
IEEE Access (2024) Vol. 12, pp. 119015-119038
Open Access | Times Cited: 8
Enhanced grasshopper optimization algorithm with extreme learning machines for motor‐imagery classification
Kavitha Rani Balmuri, Srinivasa Rao Madala, B D Parameshachari, et al.
Asian Journal of Control (2022) Vol. 25, Iss. 4, pp. 3015-3028
Closed Access | Times Cited: 33
Sinusoidal model-based diagnosis of the common cold from the speech signal
Pankaj Warule, Siba Prasad Mishra, Suman Deb, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104653-104653
Closed Access | Times Cited: 21
Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson’s disease
Pankaj Warule, Siba Prasad Mishra, Suman Deb
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 613-623
Closed Access | Times Cited: 21
Deep Learning and Artificial Intelligence Applied to Model Speech and Language in Parkinson’s Disease
Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Juan Rafael Orozco‐Arroyave
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2163-2163
Open Access | Times Cited: 18
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: 17
Classification of Parkinson’s disease EEG signals using 2D-MDAGTS model and multi-scale fuzzy entropy
J. H. Li, Xun Li, Yuefeng Mao, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105872-105872
Closed Access | Times Cited: 7
Automatic Clinical Assessment of Swallowing Behavior and Diagnosis of Silent Aspiration Using Wireless Multimodal Wearable Electronics
Beomjune Shin, Sung Hoon Lee, Kangkyu Kwon, et al.
Advanced Science (2024)
Open Access | Times Cited: 6
Innovative Speech-Based Deep Learning Approaches for Parkinson’s Disease Classification: A Systematic Review
Lisanne van Gelderen, Cristian Tejedor-Garcı́a
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7873-7873
Open Access | Times Cited: 5
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions
Wei Huang, Wenqiang Xu, Renjie Wan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2547-2557
Closed Access | Times Cited: 12
High-resolution superlet transform based techniques for Parkinson's disease detection using speech signal
Kavita Bhatt, N. Jayanthi, Manjeet Kumar
Applied Acoustics (2023) Vol. 214, pp. 109657-109657
Closed Access | Times Cited: 12
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
Multi-source sparse broad transfer learning for parkinson’s disease diagnosis via speech
Yuchuan Liu, LI Lian-zhi, Yu Rao, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Linguistic changes in spontaneous speech for detecting Parkinson’s disease using large language models
Jackie Crawford
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000757-e0000757
Open Access
A novel approach for bird sound classification with cross correlation by denoising with complementary ensemble empirical mode decomposition using B-spline and LSTM features
Mehmet Bilal Er, Umut Kuran, Nagehan İlhan
Applied Acoustics (2025) Vol. 233, pp. 110601-110601
Closed Access
Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
Yasir Rahmatallah, Aaron S. Kemp, Anu Iyer, et al.
Scientific Reports (2025) Vol. 15, 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
Enhanced real-time Parkinson’s disease monitoring and severity prediction using a multi-faceted deep learning approach
Marreddy Naga Sabari, Deepak Ch
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
MLP-Mixer for Automatic Detection of Parkinson’s Disease from Speech
Rania Khaskhoussy, Yassine Ben Ayed
Lecture notes on data engineering and communications technologies (2025), pp. 166-176
Closed Access
Applications of Artificial Intelligence in Neurological Voice Disorders
Dongren Yao, Aki Koivu, Kristina Simonyan
World Journal of Otorhinolaryngology - Head and Neck Surgery (2025)
Open Access
FHR Signal Analysis using Attention-Based 1DCNN-BiLSTM Neural Network for Intrapartum Fetal Monitoring
A. Mohan, V. Uma, R Sasirekha, et al.
Digital Signal Processing (2025), pp. 105259-105259
Closed Access
Towards a Corpus (and Language)-Independent Screening of Parkinson’s Disease from Voice and Speech through Domain Adaptation
Emiro J. Ibarra, Julián D. Arias-Londoño, Matías Zañartu, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1316-1316
Open Access | Times Cited: 9
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