The DOI matches its Crossref record; 173 of the 173 references it cites were found in a registry or an index.
The Internet of Things (IoT) in healthcare: Taking stock and moving forward
Open accessAbstract
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve rapidly. This article summarizes previous studies on IoT applications in healthcare. A comprehensive review and a bibliometric analysis were performed to objectively summarize the growth of IoT research in healthcare. To begin, 2,990 journal articles were carefully selected for further investigation. These publications were analyzed based on various bibliometric metrics, including publication year, journals, authors, institutions, and countries. Keyword co-occurrence and co-citation networks were generated to unravel significant research hotspots. The findings show that IoT research has received considerable interest from the healthcare community. Based on the results of the keyword co-occurrence network, IoT healthcare applications, blockchain applications, Artificial Intelligence (AI) techniques, 5G telecommunications, as well as data analytics and computing technologies emerged as important topics. The co-citation network analysis reveals other important themes, including authentication schemes, fog computing, cloud-IoT integration, and cognitive smart healthcare. Overall, the review offers scholars an improved understanding of the current status of IoT research in healthcare and identifies knowledge gaps for future research. This review also informs healthcare professionals about the latest developments and applications of IoT in the healthcare sector.
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Cites
1 retracted
RETRACTED ARTICLE: Research on intelligent city energy management based on Internet of things
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RetractedPreferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
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Bibliometric Methods in Management and Organization
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The Internet of Things for Health Care: A Comprehensive Survey
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Cited by
Emotion recognition in EEG signals using deep learning methods: A review
Jafari, M., Shoeibi, A., Khodatars, M., Bagherzadeh, S., Shalbaf, A., García, D. L., Gorriz, J. M., & Acharya, U. R. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107450 · Cited by 240
Ngo, T., Yin, J., Ge, Y.-F., & Wang, H. (2025) · Information · doi:10.3390/info16060499 · Cited by 37
Internet of Things and Big Data Analytics in Preventive Healthcare: A Synthetic Review
(2024) · doi:10.3390/electronics13183642 · Cited by 19
Bibliometric Analysis of IoT Lightweight Cryptography
Dewamuni, Z., Shanmugam, B., Azam, S., & Thennadil, S. (2023) · Information · doi:10.3390/info14120635 · Cited by 14
Abdalzaher, M. S., Krichen, M., Shaaban, M. F., & Fouda, M. M. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3613669 · Cited by 22
“These sensors can be utilized for hospital operations, controlling chronic illnesses, keeping track of patients, and increasing their entire experience [151], [152].”
Metadata
- Authors
- Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M.
- Venue
- Internet of Things
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 22
- Pages
- 100721
- ISSN
- 2542-6605 (ISSN-L)
- OpenAlex
- W4320712473
- Cited by
- 448
- References
- 173
- FWCI
- 105.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: The Internet of Things (IoT) in healthcare: Taking stock and moving forward. https://app.cochat.ai/papers/10.1016/j.iot.2023.100721
- The paper
- Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023). The Internet of Things (IoT) in healthcare: Taking stock and moving forward. Internet of Things. https://doi.org/10.1016/j.iot.2023.100721
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.
