The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
(2008) · Journal of Machine Learning Research · Cited by 33,051
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
Dermatologist-level classification of skin cancer with deep neural networks
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017) · Nature · doi:10.1038/nature21056 · Cited by 14,362
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Mastering the game of Go without human knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al. (2017) · Nature · doi:10.1038/nature24270 · Cited by 9,084
A stretchable carbon nanotube strain sensor for human-motion detection
Yamada, T., Hayamizu, Y., Yamamoto, Y., Yomogida, Y., Izadi-Najafabadi, A., Futaba, D. N., & Hata, K. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.36 · Cited by 3,247
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Tan, X., & Triggs, B. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2042645 · Cited by 2,842
Cited by
Liu, K., Zhang, T., Dang, B., Bao, L., Xu, L., Cheng, C., Yang, Z., Huang, R., & Yang, Y. (2022) · Nature Electronics · doi:10.1038/s41928-022-00847-2 · Cited by 498
Wen, F., Zhang, Z., He, T., & Lee, C. (2021) · Nature Communications · doi:10.1038/s41467-021-25637-w · Cited by 494
Niu, H., Li, H., Gao, S., Li, Y., Wei, X., Chen, Y., Yue, W., Zhou, W., & Shen, G. (2022) · Advanced Materials · doi:10.1002/adma.202202622 · Cited by 434
Self-citationBioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure
Yu, J., Yang, X., Gao, G., Xiong, Y., Wang, Y., Han, J., Chen, Y., Zhang, H., Sun, Q., & Wang, Z. L. (2021) · Science Advances · doi:10.1126/sciadv.abd9117 · Cited by 389
Self-citationSun, T., Feng, B., Huo, J., Xiao, Y., Wang, W., Peng, J., Li, Z., Du, C., Wang, W., Zou, G., et al. (2024) · Nano-Micro Letters · doi:10.1007/s40820-023-01235-x · Cited by 384
Metadata
- Authors
- Wang, M., Yan, Z., Wang, T., Cai, P., Gao, S., Zeng, Y., Wan, C., Wang, H., Pan, L., Yu, J., Pan, S., He, K., Lu, J., & Chen, X.
- Venue
- Nature Electronics
- Published
- 2020-06-08
- Volume
- 3
- Issue
- 9
- Pages
- 563-570
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W3033578652
- Cited by
- 560
- References
- 38
- FWCI
- 49.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors. https://app.cochat.ai/papers/10.1038/s41928-020-0422-z
- The paper
- Wang, M., Yan, Z., Wang, T., Cai, P., Gao, S., Zeng, Y., Wan, C., Wang, H., Pan, L., Yu, J., Pan, S., He, K., Lu, J., & Chen, X. (2020). Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors. Nature Electronics. https://doi.org/10.1038/s41928-020-0422-z
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.
