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:
COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application
Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, et al.
BioMed (2021) Vol. 1, Iss. 2, pp. 114-125
Open Access | Times Cited: 9
Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, et al.
BioMed (2021) Vol. 1, Iss. 2, pp. 114-125
Open Access | Times Cited: 9
Showing 9 citing articles:
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Kiran Kumar Patro, Allam Jaya Prakash, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 352-368
Open Access | Times Cited: 26
Kiran Kumar Patro, Allam Jaya Prakash, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 352-368
Open Access | Times Cited: 26
COVID-19 in Italy: Comparison of CT Findings from Time Zero to the Delta Variant
Nicola Maggialetti, Ilaria Villanova, Annalisa Castrì, et al.
Microorganisms (2022) Vol. 10, Iss. 4, pp. 796-796
Open Access | Times Cited: 8
Nicola Maggialetti, Ilaria Villanova, Annalisa Castrì, et al.
Microorganisms (2022) Vol. 10, Iss. 4, pp. 796-796
Open Access | Times Cited: 8
Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort
Jeong Hoon Lee, Jong Seok Ahn, Myung Jin Chung, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 5007-5007
Open Access | Times Cited: 6
Jeong Hoon Lee, Jong Seok Ahn, Myung Jin Chung, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 5007-5007
Open Access | Times Cited: 6
An Efficient COVID-19 Mortality Risk Prediction Model Using Deep Synthetic Minority Oversampling Technique and Convolution Neural Networks
Rajkumar Soundrapandiyan, Adhiyaman Manickam, Moulay A. Akhloufi, et al.
BioMedInformatics (2023) Vol. 3, Iss. 2, pp. 339-368
Open Access | Times Cited: 3
Rajkumar Soundrapandiyan, Adhiyaman Manickam, Moulay A. Akhloufi, et al.
BioMedInformatics (2023) Vol. 3, Iss. 2, pp. 339-368
Open Access | Times Cited: 3
Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation
Po-Chih Chiu, Kuo‐Wei Su, Chao‐Hung Wang, et al.
Healthcare (2023) Vol. 11, Iss. 6, pp. 847-847
Open Access | Times Cited: 2
Po-Chih Chiu, Kuo‐Wei Su, Chao‐Hung Wang, et al.
Healthcare (2023) Vol. 11, Iss. 6, pp. 847-847
Open Access | Times Cited: 2
Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran
Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Deep Representation Learning from Electronic Medical Records Identifies Distinct Symptom Based Subtypes and Progression Patterns for Covid-19 Prognosis
Qiguang Zheng, Qifan Shen, Zixin Shu, et al.
(2024)
Closed Access
Qiguang Zheng, Qifan Shen, Zixin Shu, et al.
(2024)
Closed Access
Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis
Qiguang Zheng, Qifan Shen, Zixin Shu, et al.
International Journal of Medical Informatics (2024) Vol. 191, pp. 105555-105555
Closed Access
Qiguang Zheng, Qifan Shen, Zixin Shu, et al.
International Journal of Medical Informatics (2024) Vol. 191, pp. 105555-105555
Closed Access
PACTDet - An Artificially Intelligent Approach to Detect Pulmonary Illnesses: Pneumonia, Asthma, COVID-19, and Tuberculosis
Sidratul Tanzila Tasmi, Md. Mohsin Sarker Raihan, Atahar Imtiaz Nasif, et al.
Communications in computer and information science (2023), pp. 10-22
Closed Access
Sidratul Tanzila Tasmi, Md. Mohsin Sarker Raihan, Atahar Imtiaz Nasif, et al.
Communications in computer and information science (2023), pp. 10-22
Closed Access
