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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:

Neurodegenerative diseases detection and grading using gait dynamics
Çağatay Berke Erdaş, Emre Sümer, Seda Kibaroğlu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 15, pp. 22925-22942
Open Access | Times Cited: 10

Showing 10 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
Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis
Tungki Pratama Umar, Nityanand Jain, Manthia Papageorgakopoulou, et al.
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (2024) Vol. 25, Iss. 5-6, pp. 425-436
Closed Access | Times Cited: 6
Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning
Navita, Pooja Mittal, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A new parallel-path ConvMixer neural network for predicting neurodegenerative diseases from gait analysis
Jihen Fourati, Mohamed Othmani, Khawla Ben Salah, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
An efficient Parkinson's disease detection using smoothed pseudo-Wigner Ville distribution and MobileNetV2 convolutional neural network
Amaladass P. Klinton, Priya S. Jeba, S. Thomas George, et al.
Health and Technology (2025)
Closed Access
A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features
Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandarı, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
The Role of Deep Learning and Gait Analysis in Parkinson’s Disease: A Systematic Review
Alessandra Franco, Michela Russo, Marianna Amboni, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5957-5957
Open Access | Times Cited: 3
Ethical Considerations and Challenges in Neurodegenerative Diseases Using Machine Learning
Moushumi Das, Hitakshi Hitakshi, Vandana Mohindru, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 234-256
Closed Access
Data-driven Gait based Severity Classification for Parkinson's Disease using Duo Spatiotemporal Convoluted Kernel Boosted ResNet model
Arogia Victor Paul M, Sharmila Sankar
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 4, pp. 377-386
Open Access
A Unified Framework for Neurological Disease Detection and Gait Classification Using Deep Graph Learning
P. Vimal Kumar, M. Thiyagarajan, P. Kannan, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 527-538
Open Access
Plantar Pressure Based Personality Type Classification Using Gait Cycle Features
Ara Jung, Jun-Yeong Choe, Seong Soon Jo, et al.
(2024), pp. 1-4
Closed Access
Using Machine Learning Algorithms for Neurodegenerative Disease Gait Classification
Andrés Mauricio Cárdenas Torres, Luis Carlos Ealo Otero, Juliana Uribe Perez, et al.
Ingenierías USBmed (2023) Vol. 14, Iss. 2, pp. 8-14
Open Access | Times Cited: 1
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