Prof. Dr. Ling-Feng Shi | Electrical Engineering | Best Researcher Award
Dean at Xidian University, China
Prof. Ling-Feng Shi is a distinguished academic and researcher in the field of electrical engineering, with a focus on sensor signal processing, navigation and positioning, wireless communication, and radar signal processing. He is currently a Professor and Dean at Xidian University in China. Prof. Shi has over 130 academic papers published, including more than 100 journal papers and numerous conference proceedings. He is a senior member of IEEE, with significant contributions to both academic research and the scientific community.
Professional Profile:
Education Background
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Assistant Engineer, Flight Automatic Control Research Institute, 1995-2000
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Lecturer, College of Mechanical and Electrical Engineering, Xidian University, 2001-2006
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Associate Professor, College of Electrical Engineering, Xidian University, 2006-2014
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Professor, College of Electrical Engineering, Xidian University, 2014-present
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Master’s Advisor in Automatic Control and Circuit & System at Xidian University (2006-present)
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Ph.D. Advisor in Circuit and System, College of Electrical Engineering, Xidian University (2013-present)ltw1
Research Focus
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Sensor signal processing
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Navigation and positioning
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Wireless communication
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Radar signal processing
Author Metrics:
Awards and Honors:
Publication Top Notes
1. Mode-selectable high-efficiency low-quiescent-current synchronous buck DC–DC converter
Authors: LF Shi, WG Jia
Journal: IEEE Transactions on Industrial Electronics
Volume: 61
Issue: 5
Pages: 2278-2285
Year: 2013
Citations: 56
2. A robust pedestrian dead reckoning system using low-cost magnetic and inertial sensors
Authors: LF Shi, YL Zhao, GX Liu, S Chen, Y Wang, YF Shi
Journal: IEEE Transactions on Instrumentation and Measurement
Volume: 68
Issue: 8
Pages: 2996-3003
Year: 2018
Citations: 54
3. Compact dual-band decoupling structure for improving mutual coupling of closely placed PIFAs
Authors: JH Xun, LF Shi, WR Liu, GX Liu, S Chen
Journal: IEEE Antennas and Wireless Propagation Letters
Volume: 16
Pages: 1985-1989
Year: 2017
Citations: 50
4. Novel deep learning network for gait recognition using multimodal inertial sensors
Authors: LF Shi, ZY Liu, KJ Zhou, Y Shi, X Jing
Journal: Sensors
Volume: 23
Issue: 2
Article ID: 849
Year: 2023
Citations: 45
5. A fusion algorithm of indoor positioning based on PDR and RSS fingerprint
Authors: LF Shi, Y Wang, G Liu, S Chen, YL Zhao, YF Shi
Journal: IEEE Sensors Journal
Volume: 18
Issue: 23
Pages: 9691-9698
Year: 2018
Citations: 45