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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:

Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning
Maryam Doborjeh, Xiaoxu Liu, Zohreh Doborjeh, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 902-902
Open Access | Times Cited: 20

Showing 20 citing articles:

State-of-the-Art on Brain-Computer Interface Technology
Jānis Pekša, Dmytro Mamchur
Sensors (2023) Vol. 23, Iss. 13, pp. 6001-6001
Open Access | Times Cited: 58
Prediction of acoustic tinnitus suppression using resting-state EEG via explainable AI approach
Payam Sadeghi Shabestari, Stefan Schoisswohl, Zino Wellauer, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)
Adi Wijaya, Noor Akhmad Setiawan, Asma Hayati Ahmad, et al.
AIMS neuroscience (2023) Vol. 10, Iss. 2, pp. 154-171
Open Access | Times Cited: 15
Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions
Andrea Frosolini, Leonardo Franz, Valeria Caragli, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7126-7126
Open Access | Times Cited: 6
Integrating Multimodal Spatiotemporal Brain Data with Spiking Neural Networks
Maryam Doborjeh, Zien Huang, Zohreh Doborjeh
Lecture notes in computer science (2025), pp. 137-147
Closed Access
Applying artificial intelligence to rare diseases: a literature review highlighting lessons from Fabry disease
Dominique P. Germain, David Gruson, Marie Malcles, et al.
Orphanet Journal of Rare Diseases (2025) Vol. 20, Iss. 1
Open Access
Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques
Zahra Raeisi, Abolfazl Sodagartojgi, Fahimeh Sharafkhani, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The potassium channels: Neurobiology and pharmacology of tinnitus
Haohong Lai, Minqian Gao, Haidi Yang
Journal of Neuroscience Research (2023) Vol. 102, Iss. 1
Closed Access | Times Cited: 4
Advancing Tinnitus Therapeutics: GPT-2 Driven Clustering Analysis of Cognitive Behavioral Therapy Sessions and Google T5-Based Predictive Modeling for THI Score Assessment
Y. Jeong, Jae‐Jun Song, Jiseon Yang, et al.
IEEE Access (2024) Vol. 12, pp. 52414-52427
Open Access | Times Cited: 1
Prediction of acoustic tinnitus suppression using resting state EEG: An explainable AI approach
Payam Sadeghi Shabestari, Stefan Schoisswohl, Zino Wellauer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A scoping review of tinnitus research undertaken by New Zealand researchers: Aotearoa–an international hotspot for tinnitus innovation and collaboration
Grant D. Searchfield, Divya Adhia, Amit Barde, et al.
Journal of the Royal Society of New Zealand (2024) Vol. 55, Iss. 3, pp. 466-500
Open Access | Times Cited: 1
An IoT-Enabled EEG Headphones with Customized Music for Chronic Tinnitus Assessment and Symptom Management
N. Lam, Chou‐Ching K. Lin, Yi‐Lu Li, et al.
Internet of Things (2024), pp. 101411-101411
Open Access | Times Cited: 1
An implementation science systematic review of neurophysiological evidence indicates the tinnitus core network as a therapeutic target
Lisa Burton-Harris, Philip J. Sanders, Grant D. Searchfield
Frontiers in Audiology and Otology (2023) Vol. 1
Open Access | Times Cited: 2
Feasibility of deep learning to predict tinnitus patient outcomes
Katherine S. Adcock, Gabriel Byczynski, Emma Meade, et al.
Intelligence-Based Medicine (2024) Vol. 9, pp. 100141-100141
Open Access
Graph-Based Electroencephalography Analysis in Tinnitus Therapy
Muhammad Awais, Khelil Kassoul, Abdelfatteh El Omri, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1404-1404
Open Access
Smart Patient Health Monitor for Diabetic Condition Using Deep Learning Application
T. Swetha Kumari, Vasuki Rajaguru
(2024), pp. 1667-1671
Closed Access
Personalized Sound Therapy Combined with Low and High-Frequency Electromagnetic Stimulation for Chronic Tinnitus
Beatrice Francavilla, Giulia Marzocchella, Arianna Alagna, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 9, pp. 912-912
Open Access
TRENDS IN THE ADVANCEMENT OF MOBILE APPLICATIONS FOR THE DIAGNOSIS AND TREATMENT OF TINNITUS: A COMPREHENSIVE REVIEW OF SCIENTIFIC LITERATURE
Izabela Sarnicka, Danuta Raj-Koziak, Henryk Skarżyńśki, et al.
Journal of Hearing Science (2024) Vol. 14, Iss. 2, pp. 9-21
Open Access
Enhanced Classification of Tinnitus Patients Using EEG Microstates and Deep Learning Techniques
Zahra Raeisi, Reza Ahmadi Lashaki, Fahimeh Sharafkhani, et al.
Research Square (Research Square) (2024)
Open Access
Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms
Edmund Fosu Agyemang
Statistics in Transition New Series (2024) Vol. 25, Iss. 4, pp. 51-77
Open Access


Statistics in Transition New Series (2024) Vol. 25, Iss. 4
Open Access
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