Yu, Ki Jun
Yonsei University
13 papers on CoChatORCID 0000-0002-2922-2702
Most cited papers
- Verified
Epidermal Electronics
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
Advanced Sensor and Energy Harvesting MaterialsNanomaterials and Printing Technologies
Cited by 4,836
- Verified
A Physically Transient Form of Silicon Electronics
Hwang, S.-W., Tao, H., Kim, D.-H., Cheng, H., Song, J.-K., Rill, E., Brenckle, M. A., Panilaitis, B., Won, S. M., Kim, Y.-S., et al. (2012) · Science
Advancements in Semiconductor Devices and Circuit DesignThin-Film Transistor Technologies
Cited by 1,286
- Verified
Ultrathin conformal devices for precise and continuous thermal characterization of human skin
Webb, R. C., Bonifas, A. P., Behnaz, A., Zhang, Y., Yu, K. J., Cheng, H., Shi, M., Bian, Z., Liu, Z., Kim, Y.-S., et al. (2013) · Nature Materials
Advanced Sensor and Energy Harvesting MaterialsThermal properties of materials
Cited by 1,229
- Verified
Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex
Yu, K. J., Kuzum, D., Hwang, S.-W., Kim, B. H., Juul, H., Kim, N. H., Won, S. M., Chiang, K., Trumpis, M., Richardson, A. G., et al. (2016) · Nature Materials
Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design
Cited by 523
- Verified
Self-assembled three dimensional network designs for soft electronics
Jang, K.-I., Li, K., Chung, H. U., Xu, S., Jung, H. N., Yang, Y., Kwak, J. W., Jung, H. H., Song, J., Yang, C., et al. (2017) · Nature Communications
Advanced Sensor and Energy Harvesting MaterialsSoft Robotics and Applications
Cited by 445
- Verified
Soft Materials in Neuroengineering for Hard Problems in Neuroscience
Jeong, J.-W., Shin, G., Park, S. I., Yu, K. J., Xu, L., & Rogers, J. A. (2015) · Neuron
Neuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials
Cited by 333
- Verified
Capacitively coupled arrays of multiplexed flexible silicon transistors for long-term cardiac electrophysiology
Fang, H., Yu, K. J., Gloschat, C., Yang, Z., Song, E., Chiang, C.-H., Zhao, J., Won, S. M., Xu, S., Trumpis, M., et al. (2017) · Nature Biomedical Engineering
Neuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials
Cited by 278
- Verified
Bioresorbable pressure sensors protected with thermally grown silicon dioxide for the monitoring of chronic diseases and healing processes
Shin, J., Yan, Y., Bai, W., Xue, Y., Gamble, P., Tian, L., Kandela, I., Haney, C. R., Spees, W., Lee, Y., et al. (2018) · Nature Biomedical Engineering
Advanced Sensor and Energy Harvesting MaterialsNeuroscience and Neural Engineering
Cited by 263
- Verified
Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates
Chiang, C.-H., Won, S. M., Orsborn, A. L., Yu, K. J., Trumpis, M., Bent, B., Wang, C., Xue, Y., Min, S., Woods, V., et al. (2020) · Science Translational Medicine
Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design
Cited by 211
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Adaptive self-healing electronic epineurium for chronic bidirectional neural interfaces
Song, K.-I., Seo, H., Seong, D., Kim, S., Yu, K. J., Kim, Y.-C., Kim, J., Kwon, S. J., Han, H.-S., Youn, I., et al. (2020) · Nature Communications
Neuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials
Cited by 120
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery‐Based Brain–Machine Interfaces
Mahmood, M., Kwon, S., Kim, H., Kim, Y., Siriaraya, P., Choi, J., Otkhmezuri, B., Kang, K., Yu, K. J., Jang, Y. C., et al. (2021) · Advanced Science
EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
Cited by 78
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Intelligent upper-limb exoskeleton integrated with soft bioelectronics and deep learning for intention-driven augmentation
Lee, J., Kwon, K., Soltis, I., Matthews, J., Lee, Y. J., Kim, H., Romero, L., Zavanelli, N., Kwon, Y., Kwon, S., et al. (2024) · npj Flexible Electronics
Prosthetics and Rehabilitation RoboticsMuscle activation and electromyography studies
Cited by 77
- Verified
Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology
Li, J., Song, E., Chiang, C.-H., Yu, K. J., Koo, J., Du, H., Zhong, Y., Hill, M., Wang, C., Zhang, J., et al. (2018) · Proceedings of the National Academy of Sciences
Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design
Cited by 65
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