The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Soft magnetic skin for super-resolution tactile sensing with force self-decoupling
Abstract
Flexible magnetic sensors have tactile hyperacuity and the ability to distinguish between normal and shear forces.
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Citations
Cites
Learning the signatures of the human grasp using a scalable tactile glove
Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature · doi:10.1038/s41586-019-1234-z · Cited by 1,162
Electronic skins and machine learning for intelligent soft robots
Shih, B., Shah, D., Li, J., Thuruthel, T. G., Park, Y.-L., Iida, F., Bao, Z., Kramer-Bottiglio, R., & Tolley, M. T. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz9239 · Cited by 715
A neuro-inspired artificial peripheral nervous system for scalable electronic skins
Lee, W. W., Tan, Y. J., Yao, H., Li, S., See, H. H., Hon, M., Ng, K. A., Xiong, B., Ho, J. S., & Tee, B. C. K. (2019) · Science Robotics · doi:10.1126/scirobotics.aax2198 · Cited by 318
Soft optoelectronic sensory foams with proprioception
Van Meerbeek, I. M., De Sa, C. M., & Shepherd, R. F. (2018) · Science Robotics · doi:10.1126/scirobotics.aau2489 · Cited by 203
Cited by
Magnetic Soft Materials and Robots
Kim, Y., & Zhao, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00481 · Cited by 873
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609
Park, K., Yuk, H., Yang, M., Cho, J., Lee, H., & Kim, J. (2022) · Science Robotics · doi:10.1126/scirobotics.abm7187 · Cited by 281
Artificial intelligence-powered electronic skin
Xu, C., Solomon, S. A., & Gao, W. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00760-z · Cited by 259
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172
Self-citationFlexible resistive tactile pressure sensors
Shu, Q., Pang, Y., Li, Q., Gu, Y., Liu, Z., Liu, B., Li, J., & Li, Y. (2024) · Journal of Materials Chemistry A · doi:10.1039/d3ta06976a · Cited by 165
Multiscale-structured miniaturized 3D force sensors
Yun, G., Chen, Z., Chen, Z., Chen, J., Zhou, B., Xiao, M., Stevens, M., Chhowalla, M., & Hasan, T. (2026) · Nature Materials · doi:10.1038/s41563-026-02508-7 · Cited by 15
Metadata
- Authors
- Yan, Y., Hu, Z., Yang, Z., Yuan, W., Song, C., Pan, J., & Shen, Y.
- Venue
- Science Robotics
- Published
- 2021-02-24
- Volume
- 6
- Issue
- 51
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W3130589561
- Cited by
- 556
- References
- 4
- FWCI
- 23.10
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
