
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:
Artificial intelligence to codify lung CT in Covid-19 patients
Maria Paola Belfiore, Fabrizio Urraro, Roberta Grassi, et al.
La radiologia medica (2020) Vol. 125, Iss. 5, pp. 500-504
Open Access | Times Cited: 107
Maria Paola Belfiore, Fabrizio Urraro, Roberta Grassi, et al.
La radiologia medica (2020) Vol. 125, Iss. 5, pp. 500-504
Open Access | Times Cited: 107
Showing 51-75 of 107 citing articles:
Preliminary detection of lung hypoperfusion in discharged Covid-19 patients during recovery
Gianluigi Patelli, Silvia Paganoni, Francesca Besana, et al.
European Journal of Radiology (2020) Vol. 129, pp. 109121-109121
Open Access | Times Cited: 16
Gianluigi Patelli, Silvia Paganoni, Francesca Besana, et al.
European Journal of Radiology (2020) Vol. 129, pp. 109121-109121
Open Access | Times Cited: 16
The diagnosis of SARS‐CoV2 pneumonia: A review of laboratory and radiological testing results
Zhong Zheng, Zhixian Yao, Ke Wu, et al.
Journal of Medical Virology (2020) Vol. 92, Iss. 11, pp. 2420-2428
Open Access | Times Cited: 15
Zhong Zheng, Zhixian Yao, Ke Wu, et al.
Journal of Medical Virology (2020) Vol. 92, Iss. 11, pp. 2420-2428
Open Access | Times Cited: 15
Differences among COVID-19, Bronchopneumonia and Atypical Pneumonia in Chest High Resolution Computed Tomography Assessed by Artificial Intelligence Technology
Robert Chrzan, Monika Bociąga‐Jasik, Amira Bryll, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 5, pp. 391-391
Open Access | Times Cited: 14
Robert Chrzan, Monika Bociąga‐Jasik, Amira Bryll, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 5, pp. 391-391
Open Access | Times Cited: 14
Identification of Genetic Risk Factors of Severe COVID-19 Using Extensive Phenotypic Data: A Proof-of-Concept Study in a Cohort of Russian Patients
Sergey Shcherbak, Anton I. Changalidi, Yury A. Barbitoff, et al.
Genes (2022) Vol. 13, Iss. 3, pp. 534-534
Open Access | Times Cited: 9
Sergey Shcherbak, Anton I. Changalidi, Yury A. Barbitoff, et al.
Genes (2022) Vol. 13, Iss. 3, pp. 534-534
Open Access | Times Cited: 9
Gender Medicine in Clinical Radiology Practice
Giuliana Giacobbe, Vincenza Granata, Piero Trovato, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 223-223
Open Access | Times Cited: 5
Giuliana Giacobbe, Vincenza Granata, Piero Trovato, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 223-223
Open Access | Times Cited: 5
Covid-19 infection in cancer patients: the management in a diagnostic unit
Vincenza Granata, Roberta Fusco, Francesco Izzo, et al.
Radiology and Oncology (2021) Vol. 55, Iss. 2, pp. 121-129
Open Access | Times Cited: 12
Vincenza Granata, Roberta Fusco, Francesco Izzo, et al.
Radiology and Oncology (2021) Vol. 55, Iss. 2, pp. 121-129
Open Access | Times Cited: 12
Impact of coronavirus disease 2019 (COVID-19) outbreak on radiology research: An Italian survey
Alberto Tagliafico, Domenico Albano, Lorenzo Torri, et al.
Clinical Imaging (2021) Vol. 76, pp. 144-148
Open Access | Times Cited: 12
Alberto Tagliafico, Domenico Albano, Lorenzo Torri, et al.
Clinical Imaging (2021) Vol. 76, pp. 144-148
Open Access | Times Cited: 12
Artificial Intelligence and Precision Medicine: A Perspective
Jacek Lorkowski, Oliwia Kolaszyńska, Mieczysław Pokorski
Advances in experimental medicine and biology (2021), pp. 1-11
Closed Access | Times Cited: 12
Jacek Lorkowski, Oliwia Kolaszyńska, Mieczysław Pokorski
Advances in experimental medicine and biology (2021), pp. 1-11
Closed Access | Times Cited: 12
An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis
Khalid Raza, Maryam Maryam, Sahar Qazi
Studies in computational intelligence (2020), pp. 3-18
Closed Access | Times Cited: 12
Khalid Raza, Maryam Maryam, Sahar Qazi
Studies in computational intelligence (2020), pp. 3-18
Closed Access | Times Cited: 12
Artificial intelligence and machine learning responses to COVID-19 related inquiries
Naser Zaeri
Journal of Medical Engineering & Technology (2023) Vol. 47, Iss. 6, pp. 301-320
Closed Access | Times Cited: 4
Naser Zaeri
Journal of Medical Engineering & Technology (2023) Vol. 47, Iss. 6, pp. 301-320
Closed Access | Times Cited: 4
Application of Omics and Bioinformatics Technologies in Response to COVID-19 Pandemic
Abebe Mengesha Aga, Adugna Abdi Woldesemayat
Molecular and Cellular Biomedical Sciences (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 1
Abebe Mengesha Aga, Adugna Abdi Woldesemayat
Molecular and Cellular Biomedical Sciences (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 1
Artificial Intelligence and Internet of Things
V Navya, Subhomoy, Yousuf, et al.
Elsevier eBooks (2024), pp. 325-346
Closed Access | Times Cited: 1
V Navya, Subhomoy, Yousuf, et al.
Elsevier eBooks (2024), pp. 325-346
Closed Access | Times Cited: 1
The Role of Machine Learning to Fight COVID-19
Shimaa Ouf, Noha Hamza
International journal of intelligent engineering and systems (2021) Vol. 14, Iss. 2, pp. 121-135
Closed Access | Times Cited: 9
Shimaa Ouf, Noha Hamza
International journal of intelligent engineering and systems (2021) Vol. 14, Iss. 2, pp. 121-135
Closed Access | Times Cited: 9
Mood Disorder in Cancer Patients Undergoing Radiotherapy During the COVID-19 Outbreak
Valerio Nardone, Alfonso Reginelli, Claudia Vinciguerra, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 8
Valerio Nardone, Alfonso Reginelli, Claudia Vinciguerra, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 8
Applications of artificial intelligence in common pulmonary diseases
Saiara Choudhury, Asad Chohan, Rahul Dadhwal, et al.
Artificial Intelligence in Medical Imaging (2022) Vol. 3, Iss. 1, pp. 1-7
Open Access | Times Cited: 5
Saiara Choudhury, Asad Chohan, Rahul Dadhwal, et al.
Artificial Intelligence in Medical Imaging (2022) Vol. 3, Iss. 1, pp. 1-7
Open Access | Times Cited: 5
Value and prognostic impact of a deep learning segmentation model of COVID-19 lung lesions on low-dose chest CT
Axel Bartoli, Joris Fournel, Arnaud Maurin, et al.
Research in Diagnostic and Interventional Imaging (2022) Vol. 1, pp. 100003-100003
Open Access | Times Cited: 5
Axel Bartoli, Joris Fournel, Arnaud Maurin, et al.
Research in Diagnostic and Interventional Imaging (2022) Vol. 1, pp. 100003-100003
Open Access | Times Cited: 5
Systemic Emergencies in COVID-19 Patient: A Pictorial Review
Marco Albanesi, Diletta Cozzi, Edoardo Cavigli, et al.
Tomography (2022) Vol. 8, Iss. 2, pp. 1041-1051
Open Access | Times Cited: 5
Marco Albanesi, Diletta Cozzi, Edoardo Cavigli, et al.
Tomography (2022) Vol. 8, Iss. 2, pp. 1041-1051
Open Access | Times Cited: 5
Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis
Francesco Giordano, Edy Ippolito, Carlo Cosimo Quattrocchi, et al.
Cancers (2021) Vol. 13, Iss. 8, pp. 1960-1960
Open Access | Times Cited: 7
Francesco Giordano, Edy Ippolito, Carlo Cosimo Quattrocchi, et al.
Cancers (2021) Vol. 13, Iss. 8, pp. 1960-1960
Open Access | Times Cited: 7
Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool
Roberto Grassi, Salvatore Cappabianca, Fabrizio Urraro, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 7, pp. 641-641
Open Access | Times Cited: 7
Roberto Grassi, Salvatore Cappabianca, Fabrizio Urraro, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 7, pp. 641-641
Open Access | Times Cited: 7
AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia
Selin Ardalı Düzgün, Gamze Durhan, Figen Demirkazık, et al.
Journal of Computer Assisted Tomography (2021) Vol. 45, Iss. 6, pp. 970-978
Open Access | Times Cited: 7
Selin Ardalı Düzgün, Gamze Durhan, Figen Demirkazık, et al.
Journal of Computer Assisted Tomography (2021) Vol. 45, Iss. 6, pp. 970-978
Open Access | Times Cited: 7
Early survey with bibliometric analysis on machine learning approaches in controlling coronavirus
Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 6
Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 6
Role of Renal Parenchyma Attenuation and Perirenal Fat Stranding in Chest CT of Hospitalized Patients with COVID-19
Elisa Russo, Alberto Tagliafico, Lorenzo E. Derchi, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 929-929
Open Access | Times Cited: 2
Elisa Russo, Alberto Tagliafico, Lorenzo E. Derchi, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 929-929
Open Access | Times Cited: 2
Quantitative CT comparison between COVID-19 and mycoplasma pneumonia suspected as COVID-19: a longitudinal study
Junzhong Liu, Yuzhen Wang, Guanghui He, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Junzhong Liu, Yuzhen Wang, Guanghui He, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 4
How Artificial Intelligence in Imaging Can Better Serve Patients with Bronchial and Parenchymal Lung Diseases?
Trieu-Nghi Hoang-Thi, Guillaume Chassagnon, Hai-Dang Tran, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 9, pp. 1429-1429
Open Access | Times Cited: 4
Trieu-Nghi Hoang-Thi, Guillaume Chassagnon, Hai-Dang Tran, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 9, pp. 1429-1429
Open Access | Times Cited: 4
Comparison of chest X-ray interpretation by Emergency Department clinicians and radiologists in suspected COVID-19 infection: a retrospective cohort study
Oliver Kemp, Daniel Watson, Carla L Swanson-Low, et al.
BJR|Open (2020) Vol. 2, Iss. 1, pp. 20200020-20200020
Open Access | Times Cited: 5
Oliver Kemp, Daniel Watson, Carla L Swanson-Low, et al.
BJR|Open (2020) Vol. 2, Iss. 1, pp. 20200020-20200020
Open Access | Times Cited: 5