The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Hybrid multimodal wearable sensors for comprehensive health monitoring
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Cites
Rudd, K. E., Johnson, S. C., Agesa, K. M., Shackelford, K. A., Tsoi, D., Kievlan, D. R., Colombara, D. V., Ikuta, K. S., Kissoon, N., Finfer, S., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32989-7 · Cited by 7,971
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · cited 1×
“So far, various form factors for wearables have been adopted to integrate physical and chemical sensors, including on-skin 21 in-ear 22 , eyewear 23 , wristband 24 and rings 25 (Fig.”
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373 · cited 2×
“Modern wearable sensors are an alternative to periodic clinical assessments and can offer continuous non-invasive monitoring of a wide range of physical and biochemical indicators 3 .”
Self-citationAgeing as a risk factor for neurodegenerative disease
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0244-7 · Cited by 3,310
Advanced polyimide materials: Syntheses, physical properties and applications
Liaw, D.-J., Wang, K.-L., Huang, Y.-C., Lee, K.-R., Lai, J.-Y., & Ha, C.-S. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.02.005 · Cited by 2,187
Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066 · cited 1×
“Sensors yield diverse data formats requiring specialized interfaces and precise synchronization to avoid misleading results 84 .”
Levey, A. S., & Coresh, J. (2012) · The Lancet · doi:10.1016/s0140-6736(11)60178-5 · Cited by 1,841
Wearable sensors: modalities, challenges, and prospects
Heikenfeld, J., Jajack, A., Rogers, J., Gutruf, P., Tian, L., Pan, T., Li, R., Khine, M., Kim, J., Wang, J., et al. (2018) · Lab on a Chip · doi:10.1039/c7lc00914c · Cited by 1,434
Self-citationBig data and machine learning algorithms for health-care delivery
Ngiam, K. Y., & Khor, I. W. (2019) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30149-4 · Cited by 1,424
Metadata
- Authors
- Mahato, K., Saha, T., Ding, S., Sandhu, S. S., Chang, A.-Y., & Wang, J.
- Venue
- Nature Electronics
- Published
- 2024-09-23
- Volume
- 7
- Issue
- 9
- Pages
- 735-750
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W4402750146
- Cited by
- 404
- References
- 97
- FWCI
- 42.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hybrid multimodal wearable sensors for comprehensive health monitoring. https://app.cochat.ai/papers/10.1038/s41928-024-01247-4
- The paper
- Mahato, K., Saha, T., Ding, S., Sandhu, S. S., Chang, A.-Y., & Wang, J. (2024). Hybrid multimodal wearable sensors for comprehensive health monitoring. Nature Electronics. https://doi.org/10.1038/s41928-024-01247-4
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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.
