The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Secured Authentication Protocol for Wireless Sensor Networks Using Elliptic Curves Cryptography
Yeh, H.-L., Chen, T.-H., Liu, P.-C., Kim, T.-H., & Wei, H.-W. (2011) · Sensors · doi:10.3390/s110504767 · Cited by 344
A Robust Mutual Authentication Protocol for Wireless Sensor Networks
Chen, T.-H. (2010) · ETRI Journal · doi:10.4218/etrij.10.1510.0134 · Cited by 254
Cited by
Wu, F., Li, X., Sangaiah, A. K., Xu, L., Kumari, S., Wu, L., & Shen, J. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.08.042 · Cited by 264
A new and secure authentication scheme for wireless sensor networks with formal proof
Wu, F., Xu, L., Kumari, S., & Li, X. (2017) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-015-0404-5 · Cited by 105
Reliable and Efficient Data Collection in UAV-based IoT Networks
Joshi, P., Kalita, A., & Gurusamy, M. (2023) · arXiv · doi:10.48550/arxiv.2311.05303 · Cited by 61
“A study [216] presented the constrained coverage (CC) strategy, which took into account K-neighbors for each cluster by utilizing two virtual forces.”
Metadata
- Authors
- He, D., Kumar, N., Chen, J., Lee, C.-C., Chilamkurti, N., & Yeo, S.-S.
- Venue
- Multimedia Systems
- Published
- 2013-12-10
- Volume
- 21
- Issue
- 1
- Pages
- 49-60
- ISSN
- 0942-4962 (ISSN-L)
- 1432-1882
- OpenAlex
- W2018145349
- Cited by
- 328
- References
- 2
- FWCI
- 28.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks. https://app.cochat.ai/papers/10.1007/s00530-013-0346-9
- The paper
- He, D., Kumar, N., Chen, J., Lee, C.-C., Chilamkurti, N., & Yeo, S.-S. (2015). Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks. Multimedia Systems. https://doi.org/10.1007/s00530-013-0346-9
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.