Yanfeng Jiang

Employment

• University of Minnesota System
  2007 - Present

Education

• Lanzhou University Ph.D.
  1995 - 2000
• Southeast University Bachelor
  1989 - 1993

Projects & Funding

Projects & funding information is unavailable.

Publications (88)

• MXene/RGO/Si Schottky Junction for a High-Performance Self-Powered Broadband Photodetector
  Langmuir 2026 1 citation DOI: 10.1021/acs.langmuir.6c00836
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• Multi-modal dual-functional integrated microwave-microfluidic sensor with both resonant and capacitive characteristics for cancer cell detection
  Sensors and Actuators A: Physical 2026 2 citations DOI: 10.1016/j.sna.2026.117494
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• Spin–Orbit Torque-Driven Perpendicular Magnetization Switching for Artificial Synapses in Co/Ho Multilayer Systems
  Nanomaterials 2026 0 citations DOI: 10.3390/nano16040243
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• Stochastic Neuromorphic Computing Architecture Based on Voltage-Controlled Probabilistic Switching Magnetic Tunnel Junction (MTJ) Devices
  Micromachines 2026 0 citations DOI: 10.3390/mi17020216
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• Wide-Temperature Digital Calibration Method for GaAs Hall Current Sensor With Integrated Current Conductor
  IEEE Sensors Journal 2026 1 citation DOI: 10.1109/JSEN.2025.3641619
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• BP Neural Network without Test Set for Temperature Compensation Model in MEMS Piezoresistive Pressure Sensors
  IEEE Internet of Things Journal 2026 0 citations DOI: 10.1109/JIOT.2026.3718868
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• Design of Asynchronous Adaptive Interface Circuit for STT-MRAM
  IEEE Transactions on Circuits and Systems I: Regular Papers 2026 0 citations DOI: 10.1109/TCSI.2026.3682271
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• Dual-Band Multigap Resonator Integrated With Spiral Inertial Microfluidics for Simultaneous Label-Free and High-Throughput Biomolecular Detection
  IEEE Transactions on Instrumentation and Measurement 2026 0 citations DOI: 10.1109/TIM.2026.3662841
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• Energy-Aware Physical Unclonable Functions: From Physical Entropy Sources to MRAM-Based Low-Power Hardware Roots of Trust
  Journal of Low Power Electronics and Applications 2026 0 citations DOI: 10.3390/jlpea16030033
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• A comparison of computing-in-memory with non-volatile memory types and SRAM in DNN training
  AIP Advances 2025 1 citation DOI: 10.1063/9.0000891
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