The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
An IoT-based framework for early identification and monitoring of COVID-19 cases
Open accessAbstract
Highlights • Early Identification or Prediction of COVID-19 cases.• Real-time Monitoring of COVID-19.• Treatment Response of COVID-19 confirmed cases.• An IoT-based Framework for COVID-19.
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Citations
Cites
2 retracted
Din, S., & Paul, A. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.12.059 · Cited by 109
RetractedRath, M., & Pattanayak, B. K. (2018) · International Journal of Human Rights in Healthcare · doi:10.1108/ijhrh-01-2018-0007 · Cited by 90
RetractedInternet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
(2008) · Data Mining and Market Intelligence for Optimal Marketing Returns · doi:10.4324/9780080878096-12 · Cited by 6,954
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
“However, data processing complexity becomes a bottleneck [34].”
Internet of Things: Architectures, Protocols, and Applications
Sethi, P., & Sarangi, S. R. (2017) · Journal of Electrical and Computer Engineering · doi:10.1155/2017/9324035 · Cited by 1,706
Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Baghbanzadeh, M., Aghamohammadi, N., Zhang, W., & Haque, U. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa033 · Cited by 1,610
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2988293 · Cited by 1,392
Fog Computing: Helping the Internet of Things Realize Its Potential
Dastjerdi, A. V., & Buyya, R. (2016) · Computer · doi:10.1109/mc.2016.245 · Cited by 1,047
A Survey on the Internet of Things Security
Zhao, K., & Ge, L. (2013) · 2013 Ninth International Conference on Computational Intelligence and Security · doi:10.1109/cis.2013.145 · Cited by 691
Cited by
SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
Rahman, A., Chakraborty, C., Anwar, A., Karim, M. R., Islam, M. J., Kundu, D., Rahman, Z., & Band, S. S. (2022) · Cluster Computing · doi:10.1007/s10586-021-03367-4 · Cited by 121
COVID-19 detection using federated machine learning
Abdul Salam, M., Taha, S., & Ramadan, M. (2021) · PLOS ONE · doi:10.1371/journal.pone.0252573 · Cited by 109
Golec, M., Ozturac, R., Pooranian, Z., Gill, S. S., & Buyya, R. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3095466 · Cited by 77
A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors
Yang, P., Wei, G., Liu, A., Huo, F., & Zhang, Z. (2022) · npj Flexible Electronics · doi:10.1038/s41528-022-00165-9 · Cited by 77
Ho, T.-T., Tran, K.-D., & Huang, Y. (2022) · Sensors · doi:10.3390/s22103728 · Cited by 44
Metadata
- Authors
- Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R.
- Venue
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 62
- Pages
- 102149
- ISSN
- 1746-8094 (ISSN-L)
- OpenAlex
- W3048416409
- Cited by
- 292
- References
- 38
- FWCI
- 26.45
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: An IoT-based framework for early identification and monitoring of COVID-19 cases. https://app.cochat.ai/papers/10.1016/j.bspc.2020.102149
- The paper
- Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R. (2020). An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2020.102149
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
