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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:

Digital Phenotyping in Clinical Neurology
Anoopum S. Gupta
Seminars in Neurology (2022) Vol. 42, Iss. 01, pp. 048-059
Open Access | Times Cited: 19

Showing 19 citing articles:

At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis
Anoopum S. Gupta, Siddharth Patel, Alan Premasiri, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Remote monitoring of amyotrophic lateral sclerosis using wearable sensors detects differences in disease progression and survival: a prospective cohort study
Jordi W. J. van Unnik, Myrte Meyjes, Mark R. Janse van Mantgem, et al.
EBioMedicine (2024) Vol. 103, pp. 105104-105104
Open Access | Times Cited: 7
Eye Tracking during Passage Reading Supports Precise Oculomotor Assessment in Ataxias
Brandon Oubre, Faye X. Yang, Anna C. Luddy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Computer Vision in Clinical Neurology
Maximilian Friedrich, Samuel D. Relton, David Wong, et al.
JAMA Neurology (2025)
Closed Access
Automatic Classification and Severity Estimation of Ataxia From Finger Tapping Videos
Adonay S. Nunes, Nataliia Kozhemiako, Christopher D. Stephen, et al.
Frontiers in Neurology (2022) Vol. 12
Open Access | Times Cited: 18
Real-life ankle submovements and computer mouse use reflect patient-reported function in adult ataxias
Nicole M. Eklund, Jessey S. Ouillon, Vineet Pandey, et al.
Brain Communications (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 10
Navigating the U.S. regulatory landscape for neurologic digital health technologies
Neil A. Busis, Dilshad Marolia, Robert A. Montgomery, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models
Kyriakos Vattis, Brandon Oubre, Anna C. Luddy, et al.
IEEE Access (2024) Vol. 12, pp. 62328-62340
Open Access | Times Cited: 2
Accuracy and Reliability of At-Home Quantification of Motor Impairments Using a Computer-Based Pointing Task with Children with Ataxia-Telangiectasia
Vineet Pandey, Nergis C. Khan, Anoopum S. Gupta, et al.
ACM Transactions on Accessible Computing (2023) Vol. 16, Iss. 1, pp. 1-25
Closed Access | Times Cited: 4
"It's Better to be Grounded in Reality": a Speculative Exploration of Patient-Centered Digital Phenotyping for Neurological Conditions
J. H. So, Faye X. Yang, Anoopum S. Gupta, et al.
(2024) Vol. 97, pp. 1-5
Closed Access | Times Cited: 1
Multimodal Digital Phenotyping of Behavior in a Neurology Clinic: Development of the Neurobooth Platform and the First Two Years of Data Collection
Adonay S. Nunes, Siddharth Patel, Brandon Oubre, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches
Karin Knudson, Anoopum S. Gupta
Sensors (2022) Vol. 22, Iss. 23, pp. 9454-9454
Open Access | Times Cited: 5
Consumer-grade wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis
Anoopum S. Gupta, Siddharth Patel, Alan Premasiri, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Sensitive quantification of cerebellar speech abnormalities using deep learning models
Kyriakos Vattis, Anna C. Luddy, Jessey S. Ouillon, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
Alain Ndayisaba, Ariana T. Pitaro, Andrew S. Willett, et al.
The Cerebellum (2022) Vol. 23, Iss. 1, pp. 31-51
Open Access | Times Cited: 4
The Newborn Screening Programme Revisited: An Expert Opinion on the Challenges of Rett Syndrome
Jatinder Singh, Paramala Santosh
Genes (2024) Vol. 15, Iss. 12, pp. 1570-1570
Open Access
The visualization of Orphadata neurology phenotypes
Daniel B. Hier, Raghu Yelugam, Michael D. Carrithers, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 1
The challenges and opportunities for remotely evaluating movement disorders
Lynn Rochester, Silvia Del Din, Joshua Shulman, et al.
International review of movement disorders (2023), pp. 153-179
Closed Access
Subsumption, Vectorization, Heat Maps, and Word Clouds Support the Visualization of Orphadata Neurology Phenotypes
Daniel B. Hier, Raghu Yelugam, Michael D. Carrithers, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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