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:
Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study
Guillaume Palacios, Arnaud Noreña, Alain Londero
Audiology and Neurotology (2020) Vol. 25, Iss. 4, pp. 174-189
Open Access | Times Cited: 15
Guillaume Palacios, Arnaud Noreña, Alain Londero
Audiology and Neurotology (2020) Vol. 25, Iss. 4, pp. 174-189
Open Access | Times Cited: 15
Showing 15 citing articles:
Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions
Katy E. Trinkley, Ruopeng An, Anna Maw, et al.
Implementation Science (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 12
Katy E. Trinkley, Ruopeng An, Anna Maw, et al.
Implementation Science (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 12
Harnessing the power of artificial intelligence to transform hearing healthcare and research
Nicholas A. Lesica, Nishchay Mehta, Joseph Manjaly, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 840-849
Open Access | Times Cited: 44
Nicholas A. Lesica, Nishchay Mehta, Joseph Manjaly, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 840-849
Open Access | Times Cited: 44
Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
Jan-Willem A. Wasmann, Cris Lanting, Wendy J. Huinck, et al.
Ear and Hearing (2021) Vol. 42, Iss. 6, pp. 1499-1507
Open Access | Times Cited: 33
Jan-Willem A. Wasmann, Cris Lanting, Wendy J. Huinck, et al.
Ear and Hearing (2021) Vol. 42, Iss. 6, pp. 1499-1507
Open Access | Times Cited: 33
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
Seyed‐Ali Sadegh‐Zadeh, Alireza Soleimani Mamalo, Kaveh Kavianpour, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 5
Seyed‐Ali Sadegh‐Zadeh, Alireza Soleimani Mamalo, Kaveh Kavianpour, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 5
Hyperacusis: Loudness intolerance, fear, annoyance and pain
Richard Salvi, Guang‐Di Chen, Senthilvelan Manohar
Hearing Research (2022) Vol. 426, pp. 108648-108648
Open Access | Times Cited: 15
Richard Salvi, Guang‐Di Chen, Senthilvelan Manohar
Hearing Research (2022) Vol. 426, pp. 108648-108648
Open Access | Times Cited: 15
Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review
Quinlan D. Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Acta neurochirurgica. Supplementum (2021), pp. 277-289
Closed Access | Times Cited: 19
Quinlan D. Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Acta neurochirurgica. Supplementum (2021), pp. 277-289
Closed Access | Times Cited: 19
Towards a practical use of text mining approaches in electrodiagnostic data
Roni Ramon‐Gonen, Amir Dori, Shahar Shelly
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Roni Ramon‐Gonen, Amir Dori, Shahar Shelly
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Use of open-ended questionnaires to examine the effects of tinnitus and its relation to patient-reported outcome measures
Vinaya Manchaiah, Gerhard Andersson, Marc A. Fagelson, et al.
International Journal of Audiology (2021) Vol. 61, Iss. 7, pp. 592-599
Open Access | Times Cited: 11
Vinaya Manchaiah, Gerhard Andersson, Marc A. Fagelson, et al.
International Journal of Audiology (2021) Vol. 61, Iss. 7, pp. 592-599
Open Access | Times Cited: 11
Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?
Vinaya Manchaiah, Alain Londero, Aniruddha K. Deshpande, et al.
American Journal of Audiology (2022) Vol. 31, Iss. 3S, pp. 993-1002
Open Access | Times Cited: 7
Vinaya Manchaiah, Alain Londero, Aniruddha K. Deshpande, et al.
American Journal of Audiology (2022) Vol. 31, Iss. 3S, pp. 993-1002
Open Access | Times Cited: 7
An exploration of psychological symptom-based phenotyping of adult cochlear implant users with and without tinnitus using a machine learning approach
Samuel S. Smith, Pádraig T. Kitterick, Polly Scutt, et al.
Progress in brain research (2020), pp. 283-300
Closed Access | Times Cited: 9
Samuel S. Smith, Pádraig T. Kitterick, Polly Scutt, et al.
Progress in brain research (2020), pp. 283-300
Closed Access | Times Cited: 9
Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
Jan-Willem A. Wasmann, Cris Lanting, Wendy J. Huinck, et al.
(2020)
Open Access | Times Cited: 6
Jan-Willem A. Wasmann, Cris Lanting, Wendy J. Huinck, et al.
(2020)
Open Access | Times Cited: 6
Complementary and Alternative Therapies
Alain Londero, Deborah A. Hall
Springer eBooks (2024), pp. 705-715
Closed Access
Alain Londero, Deborah A. Hall
Springer eBooks (2024), pp. 705-715
Closed Access
Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis
Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis
Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, et al.
Brain and Behavior (2024) Vol. 14, Iss. 11
Open Access
Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, et al.
Brain and Behavior (2024) Vol. 14, Iss. 11
Open Access
Comparing Clustering Methods Applied to Tinnitus within a Bootstrapped and Diagnostic-Driven Semi-Supervised Framework
Robin Guillard, Adam Hessas, Louis Korczowski, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 572-572
Open Access | Times Cited: 1
Robin Guillard, Adam Hessas, Louis Korczowski, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 572-572
Open Access | Times Cited: 1
