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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:

Fuzzy recurrence plot-based analysis of dynamic and static spiral tests of Parkinson’s disease patients
İsmail Cantürk
Neural Computing and Applications (2020) Vol. 33, Iss. 1, pp. 349-360
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information
Muhammad Akram, Anam Luqman, José Carlos R. Alcantud
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 5675-5703
Closed Access | Times Cited: 109
Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)
Hui Wen Loh, Wanrong Hong, Chui Ping Ooi, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7034-7034
Open Access | Times Cited: 80
Time–frequency time–space LSTM for robust classification of physiological signals
Tuan D. Pham
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 59
Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson’s Disease
İsmail Cantürk, Osman Günay
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1198-1209
Open Access | Times Cited: 9
Multi-scale signed recurrence plot based time series classification using inception architectural networks
Ye Zhang, Yi Hou, Kewei Ouyang, et al.
Pattern Recognition (2021) Vol. 123, pp. 108385-108385
Open Access | Times Cited: 55
Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson’s Disease Based on Spiral and Wave Drawings
S. Saravanan, K. Ramkumar, K. Narasimhan, et al.
IEEE Access (2023) Vol. 11, pp. 68366-68378
Open Access | Times Cited: 21
An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Medicine in Novel Technology and Devices (2024) Vol. 22, pp. 100297-100297
Open Access | Times Cited: 6
Exploring nonlinear dynamics in brain functionality through phase portraits and fuzzy recurrence plots
Qiang Li, Vince D. Calhoun, Tuan D. Pham, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Open Access | Times Cited: 6
Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
Mohamad Alissa, Michael A. Lones, Jeremy Cosgrove, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 1433-1453
Open Access | Times Cited: 39
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
Closed Access | Times Cited: 26
Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson’s disease using digitized spiral drawings
Mahima Thakur, Samiappan Dhanalakshmi, Harisudha Kuresan, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 1, pp. 175-189
Closed Access | Times Cited: 26
Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest
Şenol Çelik, Semiha Sude Özgüzel, İsmail Cantürk
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-16
Closed Access
Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals
Ali Bahari Malayeri, Mohammad Bagher Khodabakhshi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Hesitant fuzzy N-soft ELECTRE-II model: a new framework for decision-making
Muhammad Akram, Arooj Adeel, Ahmad N. Al‐Kenani, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 13, pp. 7505-7520
Closed Access | Times Cited: 29
Transformers for 1D signals in Parkinson’s disease detection from gait
Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022), pp. 5089-5095
Closed Access | Times Cited: 16
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Journal of Computing and Information Science in Engineering (2023) Vol. 23, Iss. 5
Closed Access | Times Cited: 10
Image Encoded Time Series Classification of Small Datasets: An Innovative Architecture Using Deep Learning Ensembles
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Predicting UPDRS in Parkinson’s disease using ensembles of self-organizing map and neuro-fuzzy
Siren Zhao, Jilun Zhang, Jianbin Zhang
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development
İsmail Cantürk, Lale Özyılmaz
Expert Systems (2024)
Closed Access | Times Cited: 2
Screening of Parkinson’s Disease Using Geometric Features Extracted from Spiral Drawings
Jay Chandra, Siva Muthupalaniappan, Zisheng Shang, et al.
Brain Sciences (2021) Vol. 11, Iss. 10, pp. 1297-1297
Open Access | Times Cited: 15
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 9
Quantification analysis of fuzzy recurrence plots
Tuan D. Pham
EPL (Europhysics Letters) (2022) Vol. 137, Iss. 6, pp. 62002-62002
Closed Access | Times Cited: 8
Convolutional neural network for the detection of Parkinson disease based on hand-draw spiral images
Omar Alniemi, Hanaa Mahmood
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 30, Iss. 1, pp. 267-267
Open Access | Times Cited: 4
Exploring Nonlinear Dynamics In Brain Functionality Through Phase Portraits And Fuzzy Recurrence Plots
Qiang Li, Vince D. Calhoun, Tuan D. Pham, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Early-stage stroke prediction based on Parkinson and wrinkles using deep learning
Thotakura Haritha, A.V. Santhosh Babu
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18781-18805
Closed Access | Times Cited: 1
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