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:

Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting
Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini, Elham Ahmadi Moghadam
Medicine in Novel Technology and Devices (2023) Vol. 20, pp. 100266-100266
Open Access | Times Cited: 9

Showing 9 citing articles:

Detection of Parkinson disease using multiclass machine learning approach
Saravanan Srinivasan, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11

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

Comprehensive multimodal approach for Parkinson’s disease classification using artificial intelligence: insights and model explainability
Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Ranaa Ahmed, et al.
Soft Computing (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

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

FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech
Türker Tuncer, Şengül Doğan, Mehmet Bayğın, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108280-108280
Closed Access | Times Cited: 3

Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases
Farhad Abedinzadeh Torghabeh, Elham Ahmadi Moghadam, Seyyed Abed Hosseini
Gait & Posture (2024) Vol. 113, pp. 443-451
Closed Access | Times Cited: 2

Predictive Models in the Diagnosis of Parkinson’s Disease Through Voice Analysis
Tomás Gonçalves, J. L. Reis, Gil Gonçalves, et al.
Lecture notes in networks and systems (2024), pp. 591-610
Closed Access

Assessing soybean yield in Madhya Pradesh by using a multi-model approach
Raghavendra Nargund, Kuldeep Singh Rautela, Manish Kumar Goyal, et al.
Field Crops Research (2024) Vol. 322, pp. 109716-109716
Closed Access

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