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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:

Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach
M. Amparo Callejón, Ramón Moreno‐Luna, A del Cuvillo, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 4, pp. 570-570
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
A. Karthikeyan, Akshit Garg, P. K. Vinod, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 96
Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model
Mehmet Tahir Huyut, Hilal Üstündağ
Medical Gas Research (2022) Vol. 12, Iss. 2, pp. 60-66
Open Access | Times Cited: 49
RETRACTED AND REPLACED: Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis
Mackenzie E. Hannum, Riley J Koch, Vicente A Ramirez, et al.
Chemical Senses (2022) Vol. 47
Open Access | Times Cited: 48
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 24
Is There Less Alteration of Smell Sensation in Patients With Omicron SARS-CoV-2 Variant Infection?
Juan José Rodríguez‐Sevilla, Roberto Güerri-Fernádez, B. Bertrán Recasens
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 35
Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, et al.
Neurocomputing (2023) Vol. 528, pp. 160-177
Open Access | Times Cited: 18
Clinical features and prognostic factors of intensive and non-intensive 1014 COVID-19 patients: an experience cohort from Alahsa, Saudi Arabia
Saad Alhumaid, Abbas Al Mutair, Zainab Al Alawi, et al.
European journal of medical research (2021) Vol. 26, Iss. 1
Open Access | Times Cited: 39
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Showmick Guha Paul, Arpa Saha, Al Amin Biswas, et al.
Array (2022) Vol. 17, pp. 100271-100271
Open Access | Times Cited: 27
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 23
Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis
Mackenzie E. Hannum, Riley J Koch, Vicente A Ramirez, et al.
Chemical Senses (2023) Vol. 48
Open Access | Times Cited: 16
The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review
Ameen Amanian, Austin Heffernan, Masaru Ishii, et al.
Otolaryngology (2022) Vol. 169, Iss. 1, pp. 21-30
Open Access | Times Cited: 18
Epidemiological and Clinical Characteristics of COVID-19: A Retrospective Multi-Center Study in Pakistan
Mehmood Ahmad, Bilal Mahmood Beg, Arfa Majeed, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 22
Analysis of Prevalence and Predictive Factors of Long-Lasting Olfactory and Gustatory Dysfunction in COVID-19 Patients
M. Amparo Callejón, Daniel-Iván Martín-Jiménez, Ramón Moreno‐Luna, et al.
Life (2022) Vol. 12, Iss. 8, pp. 1256-1256
Open Access | Times Cited: 16
The explanatory power of sensory reading for early childhood research: The role of hidden senses
Natalia Kucirkova
Contemporary Issues in Early Childhood (2022) Vol. 25, Iss. 1, pp. 93-109
Open Access | Times Cited: 16
Machine learning applications to Covid-19: a state-of-the-art survey
Firuz Kamalov, Aswani Kumar Cherukuri, Fadi Thabtah
2022 Advances in Science and Engineering Technology International Conferences (ASET) (2022), pp. 1-6
Open Access | Times Cited: 15
A non-invasive AI-based system for precise grading of anosmia in COVID-19 using neuroimaging
Hossam Magdy Balaha, Mayada Elgendy, Ahmed Alksas, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32726-e32726
Open Access | Times Cited: 3
A systematic review of prediction models to diagnose COVID-19 in adults admitted to healthcare centers
Médéa Locquet, Anh Nguyet Diep, Charlotte Beaudart, et al.
Archives of Public Health (2021) Vol. 79, Iss. 1
Open Access | Times Cited: 17
Comparative analysis of symptom profile and risk of death associated with infection by SARS‐CoV‐2 and its variants in Hong Kong
Kin On Kwok, Wan In Wei, Edward McNeil, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 2
Open Access | Times Cited: 2
Machine learning predictive modeling of the persistence of post-Covid19 disorders: Loss of smell and taste as case studies
Khaled Alhassoon, Mnahal Ali Alhsaon, Fahad N. Alsunaydih, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35246-e35246
Open Access | Times Cited: 2
Prediction of SARS-CoV-2 infection with a Symptoms-Based model to aid public health decision making in Latin America and other low and middle income settings
Andrea Ramírez Varela, Sergio Moreno, Sandra Contreras‐Arrieta, et al.
Preventive Medicine Reports (2022) Vol. 27, pp. 101798-101798
Open Access | Times Cited: 11
COVID-19 Induced Taste Dysfunction and Recovery: Association with Smell Dysfunction and Oral Health Behaviour
Georgia Catton, Alexander Gardner
Medicina (2022) Vol. 58, Iss. 6, pp. 715-715
Open Access | Times Cited: 11
Hearing recovery prediction and prognostic factors of idiopathic sudden sensorineural hearing loss: a retrospective analysis with a deep neural network model
Tae Woong Uhm, Seongbaek Yi, Sung‐Won Choi, et al.
Brazilian Journal of Otorhinolaryngology (2023) Vol. 89, Iss. 4, pp. 101273-101273
Open Access | Times Cited: 6
Fusion of Modulation Spectral and Spectral Features with Symptom Metadata for Improved Speech-Based Covid-19 Detection
Yi Zhu, Tiago H. Falk
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
Closed Access | Times Cited: 9
A Hybrid Feature Selection Approach to Screen a Novel Set of Blood Biomarkers for Early COVID-19 Mortality Prediction
Asif Hassan Syed, Tabrej Khan, Nashwan Alromema
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1604-1604
Open Access | Times Cited: 8
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