Longyang Lin

About Longyang Lin

Longyang Lin, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of ultra-low power VLSI circuits, self-powered nodes, energy-scalable circuits, compute-in-memory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Concurrent Body-Coupled Powering and Communication ICs With a Single Electrode

A Physical Charge-Based Analytical Threshold Voltage Model for Cryogenic CMOS Design

Analog HfxZr1‐xO2 Memristors with Tunable Linearity for Implementation in a Self‐Organizing Map Neural Network

NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro

Biomedical System-on-Chip Design with Integrated Body-Coupled Powering

Intra-Body Wireless Power and Data Links for Biomedical Microsystems

CMOS backend-of-line compatible memory array and logic circuitries enabled by high performance atomic layer deposited ZnO thin-film transistor

A highly energy-efficient body-coupled transceiver employing a power-on-demand amplifier

Longyang Lin Information

University

Position

Research Fellow

Citations(all)

466

Citations(since 2020)

459

Cited By

104

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Longyang Lin Skills & Research Interests

ultra-low power VLSI circuits

self-powered nodes

energy-scalable circuits

compute-in-memory

Top articles of Longyang Lin

Concurrent Body-Coupled Powering and Communication ICs With a Single Electrode

IEEE Journal of Solid-State Circuits

2024/2/13

A Physical Charge-Based Analytical Threshold Voltage Model for Cryogenic CMOS Design

IEEE Journal of the Electron Devices Society

2024/1/29

Analog HfxZr1‐xO2 Memristors with Tunable Linearity for Implementation in a Self‐Organizing Map Neural Network

Advanced Electronic Materials

2023/12/27

NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro

Neurocomputing

2023/12/1

Biomedical System-on-Chip Design with Integrated Body-Coupled Powering

2023/10/19

Intra-Body Wireless Power and Data Links for Biomedical Microsystems

2023/10/19

Longyang Lin
Longyang Lin

H-Index: 6

Jiamin Li
Jiamin Li

H-Index: 2

CMOS backend-of-line compatible memory array and logic circuitries enabled by high performance atomic layer deposited ZnO thin-film transistor

Nature Communications

2023/9/28

A highly energy-efficient body-coupled transceiver employing a power-on-demand amplifier

Cyborg and Bionic Systems

2023/8/8

A low‐power charge‐based integrate‐and‐fire circuit for binarized‐spiking neural network

International Journal of Circuit Theory and Applications

2023/7

Longyang Lin
Longyang Lin

H-Index: 6

A Re-Configurable Body Channel Transceiver Towards Wearable and Flexible Biomedical Sensor Networks

IEEE Transactions on Biomedical Circuits and Systems

2023/6/27

Large Area CVD Mos2 Memristor Suitable for Neuromorphic Applications

2023/6/26

HFXZR1-XO2 Ferroelectric Thin Film Grain Size Tuning via Annealing Ramp Rate Achieving Endurance >109 Cycles, 2PR of 40.6μC/CM2, Write Voltage …

2023/6/26

Voltage scaling-agnostic counteraction of side-channel neural net reverse engineering via machine learning compensation and multi-level shuffling

2023/6/11

Self-Referenced Design-Agnostic Laser Voltage Probing Attack Detection with 100% Protection Coverage, 58% Area Overhead for Automated Design

2023/6/11

Wireless Body-Area Network Transceiver ICs with Concurrent Body-Coupled Powering and Communication using Single Electrode

2023/6/11

Laser voltage probing attack detection with 100% area/time coverage at above/below the bandgap wavelength and fully-automated design

IEEE Journal of Solid-State Circuits

2023/5/25

Improved Performance of HfxZnyO‐Based RRAM and its Switching Characteristics down to 4 K Temperature

Advanced Electronic Materials

2023/3

Voltage reference with corner-aware replica selection/merging for 1.4-mV accuracy in harvested systems down to 3.9 pW, 0.2 V

IEEE Access

2023/1/5

Quantum Efficiency Enhancement in Si Avalanche Photodiodes in the NIR Regime via Surface Texturing Towards Autonomous Driving Applications

2022/11/11

See List of Professors in Longyang Lin University(National University of Singapore)

Co-Authors

academic-engine