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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:

Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation
Yassin Khalifa, Cara Donohue, James L. Coyle, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 2, pp. 493-503
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Shitong Mao, Ervin Sejdić
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 6983-7003
Open Access | Times Cited: 51
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals
Yassin Khalifa, Danilo P. Mandic, Ervin Sejdić
Information Fusion (2020) Vol. 69, pp. 52-72
Open Access | Times Cited: 55
Estimation of laryngeal closure duration during swallowing without invasive X-rays
Shitong Mao, Aliaa Sabry, Yassin Khalifa, et al.
Future Generation Computer Systems (2020) Vol. 115, pp. 610-618
Open Access | Times Cited: 28
Advancements and Challenges in Non-Invasive Sensor Technologies for Swallowing Assessment: A Review
Yuwen Wu, Kai Guo, Yuyi Chu, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 430-430
Open Access | Times Cited: 3
A Preliminary Investigation of Whether HRCA Signals Can Differentiate Between Swallows from Healthy People and Swallows from People with Neurodegenerative Diseases
Cara Donohue, Yassin Khalifa, Subashan Perera, et al.
Dysphagia (2020) Vol. 36, Iss. 4, pp. 635-643
Open Access | Times Cited: 26
Heart-lung sound separation by nonnegative matrix factorization and deep learning
Weibo Wang, Shubo Wang, Dimei Qin, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104180-104180
Open Access | Times Cited: 14
How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP?
Cara Donohue, Yassin Khalifa, Subashan Perera, et al.
Dysphagia (2020) Vol. 36, Iss. 4, pp. 707-718
Open Access | Times Cited: 20
Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks
Kechen Shu, Shitong Mao, James L. Coyle, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1263-1272
Open Access | Times Cited: 13
Characterizing Swallows From People With Neurodegenerative Diseases Using High-Resolution Cervical Auscultation Signals and Temporal and Spatial Swallow Kinematic Measurements
Cara Donohue, Yassin Khalifa, Shitong Mao, et al.
Journal of Speech Language and Hearing Research (2021) Vol. 64, Iss. 9, pp. 3416-3431
Open Access | Times Cited: 11
Toward a robust swallowing detection for an implantable active artificial larynx: a survey
Adrien Mialland, I. Atallah, Agnès Bonvilain
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1299-1327
Closed Access | Times Cited: 4
Non-Invasive Sensor-Based Estimation of Anterior-Posterior Upper Esophageal Sphincter Opening Maximal Distension
Yassin Khalifa, Amanda S. Mahoney, Erin Lucatorto, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 182-190
Open Access | Times Cited: 4
sEMG-based automatic characterization of swallowed materials
Eman A. Hassan, Yassin Khalifa, Ahmed Morsy
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation
Ayman Anwar, Yassin Khalifa, Erin Lucatorto, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102921-102921
Closed Access | Times Cited: 1
Elevating Patient Care with Deep Learning: High-Resolution Cervical Auscultation Signals for Swallowing Kinematic Analysis in Nasogastric Tube Patients
Farnaz Khodami, Amanda S. Mahoney, James L. Coyle, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 12, pp. 711-720
Open Access | Times Cited: 1
Anterior–posterior distension of maximal upper esophageal sphincter opening is correlated with high-resolution cervical auscultation signal features
Kechen Shu, James L. Coyle, Subashan Perera, et al.
Physiological Measurement (2021) Vol. 42, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 10
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals
Sebastián Roldán-Vasco, Juan Pablo Restrepo-Uribe, Andrés Orozco‐Duque, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104533-104533
Closed Access | Times Cited: 7
Establishing Reference Values for Temporal Kinematic Swallow Events Across the Lifespan in Healthy Community Dwelling Adults Using High-Resolution Cervical Auscultation
Cara Donohue, Yassin Khalifa, Shitong Mao, et al.
Dysphagia (2021) Vol. 37, Iss. 3, pp. 664-675
Open Access | Times Cited: 9
Cervical Vertebral Height Approximates Hyoid Displacement in Videofluoroscopic Images of Healthy Adults
Amanda S. Mahoney, Yassin Khalifa, Erin Lucatorto, et al.
Dysphagia (2022) Vol. 37, Iss. 6, pp. 1689-1696
Closed Access | Times Cited: 6
A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows
Ryan Schwartz, Yassin Khalifa, Erin Lucatorto, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 10, pp. 1-9
Open Access | Times Cited: 8
DMFF-Net: A dual encoding multiscale feature fusion network for ovarian tumor segmentation
Min Wang, Gaoxi Zhou, Xun Wang, et al.
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 3
A hybrid bioinspired model for improving the efficiency of correlative auscultation analysis
Divya Singh, Bikesh Kumar Singh, Ajoy Kumar Behera
International Journal of Information Technology (2023) Vol. 15, Iss. 7, pp. 3605-3611
Closed Access | Times Cited: 3
Machine learning in the evaluation of voice and swallowing in the head and neck cancer patient
Yashes Srinivasan, Amy Liu, Anaïs Rameau
Current Opinion in Otolaryngology & Head & Neck Surgery (2023) Vol. 32, Iss. 2, pp. 105-112
Closed Access | Times Cited: 3
ARTIFICIAL INTELLIGENCE AND DYSPHAGIA: NOVEL SOLUTIONS TO OLD PROBLEMS
Ervin Sejdić, Yassin Khalifa, Amanda S. Mahoney, et al.
Arquivos de Gastroenterologia (2020) Vol. 57, Iss. 4, pp. 343-346
Open Access | Times Cited: 8
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia
Yassin Khalifa, Cara Donohue, James L. Coyle, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 956-967
Open Access | Times Cited: 5
On the robustness of high-resolution cervical auscultation-based detection of upper esophageal sphincter opening duration in diverse populations
Yassin Khalifa, Cara Donohue, James L. Coyle, et al.
(2021), pp. 21-21
Closed Access | Times Cited: 7
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