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:
Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning
Wei Zhang, Jie Li, Yonggang Wen, et al.
IEEE Network (2021) Vol. 35, Iss. 3, pp. 56-63
Open Access | Times Cited: 8
Wei Zhang, Jie Li, Yonggang Wen, et al.
IEEE Network (2021) Vol. 35, Iss. 3, pp. 56-63
Open Access | Times Cited: 8
Showing 8 citing articles:
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 21
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 21
Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey
Zhihan Jiang, Vera van Zoest, Weipeng Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21959-21981
Closed Access | Times Cited: 7
Zhihan Jiang, Vera van Zoest, Weipeng Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21959-21981
Closed Access | Times Cited: 7
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharyac, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharyac, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Evaluation of the Practicability of Internet of Things in Fighting Against COVID-19
YanâMing Lin, Edward T.-H. Chu
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 8064-8077
Closed Access
YanâMing Lin, Edward T.-H. Chu
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 8064-8077
Closed Access
A state-of-art Covid-19 major symptoms detection using IoT enabled wearable medical sensors
Felcia Bel, Sabeen Selvaraj
AIP conference proceedings (2023) Vol. 2948, pp. 060001-060001
Closed Access
Felcia Bel, Sabeen Selvaraj
AIP conference proceedings (2023) Vol. 2948, pp. 060001-060001
Closed Access
Robust Interpretability Approach to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade Toward Proposed Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access
Design and Analysis of Network Virus Defense System Based on Multimodal Data Mining Technology
Jinhuan Hou, Fuqiang Ding
Scientific Programming (2022) Vol. 2022, pp. 1-11
Open Access
Jinhuan Hou, Fuqiang Ding
Scientific Programming (2022) Vol. 2022, pp. 1-11
Open Access
