Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine learning for ambulatory applications of neuropsychological testing
Chelsea Chandler, Peter W. Foltz, Alex S. Cohen, et al.
Intelligence-Based Medicine (2020) Vol. 1-2, pp. 100006-100006
Open Access | Times Cited: 23

Showing 23 citing articles:

Voice Patterns as Markers of Schizophrenia: Building a Cumulative Generalizable Approach Via a Cross-Linguistic and Meta-analysis Based Investigation
Alberto Parola, Arndis Simonsen, Jessica Mary Lin, et al.
Schizophrenia Bulletin (2023) Vol. 49, Iss. Supplement_2, pp. S125-S141
Open Access | Times Cited: 18
Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment
Oscar Kjell, Katarina Kjell, H. Andrew Schwartz
Psychiatry Research (2023) Vol. 333, pp. 115667-115667
Open Access | Times Cited: 16
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
Beyond Rating Scales: With Targeted Evaluation, Language Models are Poised for Psychological Assessment
Oscar Kjell, Katarina Kjell, H. Andrew Schwartz
(2023)
Open Access | Times Cited: 12
Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies
Chelsea Chandler, Peter W. Foltz, Brita Elvevåg
Schizophrenia Bulletin (2022) Vol. 48, Iss. 5, pp. 949-957
Open Access | Times Cited: 18
Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)
Weizhe Xu, Weichen Wang, Jake Portanova, et al.
Journal of Biomedical Informatics (2022) Vol. 126, pp. 103998-103998
Open Access | Times Cited: 15
Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access
Glorianna Jagfeld, Fiona Lobban, Paul Rayson, et al.
(2021)
Open Access | Times Cited: 20
Assessing Dimensions of Thought Disorder with Large Language Models: The Tradeoff of Accuracy and Consistency
Samuel L. Pugh, Chelsea Chandler, Alex S. Cohen, et al.
Psychiatry Research (2024) Vol. 341, pp. 116119-116119
Closed Access | Times Cited: 2
An explainable machine learning model of cognitive decline derived from speech
Chelsea Chandler, Catherine Diaz‐Asper, Raymond Scott Turner, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2023) Vol. 15, Iss. 4
Open Access | Times Cited: 5
Acceptability of collecting speech samples from the elderly via the telephone
Catherine Diaz‐Asper, Chelsea Chandler, Raymond Scott Turner, et al.
Digital Health (2021) Vol. 7
Open Access | Times Cited: 11
Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis
Haihua Ying, Andri Pranolo, Zalik Nuryana, et al.
Telematics and Informatics Reports (2024) Vol. 16, pp. 100171-100171
Open Access | Times Cited: 1
Extending the usefulness of the verbal memory test: The promise of machine learning
Chelsea Chandler, Terje B. Holmlund, Peter W. Foltz, et al.
Psychiatry Research (2021) Vol. 297, pp. 113743-113743
Open Access | Times Cited: 9
Recommendations for selection and adaptation of rating scales for clinical studies of rapid-acting antidepressants
Christian Yavorsky, Elizabeth D. Ballard, Mark Opler, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 3
Neuropsychological detection and prediction using machine learning algorithms: a comprehensive review
Manan Shah, Ananya Shandilya, Kirtan Patel, et al.
Intelligent Medicine (2023) Vol. 4, Iss. 3, pp. 177-187
Open Access | Times Cited: 3
Voice patterns as markers of schizophrenia: building a cumulative generalizable approach via a cross-linguistic and meta-analysis based investigation
Alberto Parola, Arndis Simonsen, Jessica Mary Lin, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Validating Biobehavioral Technologies for Use in Clinical Psychiatry
Alex S. Cohen, Christopher R. Cox, Raymond P. Tucker, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 6
Reflections on measuring disordered thoughts as expressed via language
Brita Elvevåg
Psychiatry Research (2023) Vol. 322, pp. 115098-115098
Open Access | Times Cited: 2
Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition
Thanh P. Le, Emma H. Moscardini, Tovah Cowan, et al.
Journal of Psychiatric Research (2021) Vol. 138, pp. 335-341
Open Access | Times Cited: 5
Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury
Moa Pontén, Oskar Flygare, Martin Bellander, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access
Using Automated Speech Processing for Repeated Measurements in a Clinical Setting of the Behavioral Variability in the Stroop Task
Terje B. Holmlund, Alex S. Cohen, Jian Cheng, et al.
Brain Sciences (2023) Vol. 13, Iss. 3, pp. 442-442
Open Access | Times Cited: 1
Social closeness and cognitive functioning increase feelings of hope for individuals in inpatient treatment
Tovah Cowan, Anna T. Pham, Brita Elvevåg, et al.
Psychiatry Research Communications (2021) Vol. 1, Iss. 2, pp. 100011-100011
Open Access | Times Cited: 3
Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment
Chelsea Chandler, Peter W. Foltz, Alex S. Cohen, et al.
(2021), pp. 181-191
Open Access | Times Cited: 2
Machine Learning e Processos Diagnósticos com Avaliação Neuropsicológica: Uma Revisão Integrativa
Mariana Costa Biermann, Clara Monte Arruda, Leonardo Carneiro Holanda
Revista de Psicologia da IMED (2022) Vol. 14, Iss. 1, pp. 102-102
Open Access | Times Cited: 1
Page 1

Scroll to top