World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
7923
World Ranking
3733
National Ranking
172

Overview

Yong Lian is affiliated with York University in Canada, focusing on research within Electrical and Electronic Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, and Mechanical Engineering. Their work spans various intersecting fields, primarily emphasizing biomedical applications and engineering solutions.

The scientist's research topics include:

  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Analog and Mixed-Signal Circuit Design
  • Non-Invasive Vital Sign Monitoring
  • Advanced Memory and Neural Computing
  • Phonocardiography and Auscultation Techniques
  • CCD and CMOS Imaging Sensors

Yong Lian has contributed to several recent papers in prominent venues. Notable publications include:

  • Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training, 2022, IEEE Transactions on Medical Imaging
  • SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database, 2022, IEEE Transactions on Biomedical Circuits and Systems
  • A robust QRS detection and accurate R-peak identification algorithm for wearable ECG sensors, 2021, Science China Information Sciences
  • Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices, 2022, IEEE Journal of Biomedical and Health Informatics
  • The Role and Challenges of Body Channel Communication in Wearable Flexible Electronics, 2020, IEEE Transactions on Biomedical Circuits and Systems

Frequent collaborators observed in the scientist's work include Guoxing Wang, Amara Amara, Manuel Delgado-Restituto, N Neihart, and Alon Ascoli.

The primary venues for publishing are:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • IEEE Photonics Technology Letters
  • IEEE Transactions on Biomedical Circuits and Systems

Best Publications

  • A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip

    Xiaodan Zou;Xiaoyuan Xu;Libin Yao;Yong Lian

  • QRS Detection Based on Multiscale Mathematical Morphology for Wearable ECG Devices in Body Area Networks

    Fei Zhang;Yong Lian

  • The optimum design of one- and two-dimensional FIR filters using the frequency response masking technique

    Y.C. Lim;Y. Lian

  • Weighted-Least-Squares Design of Variable Fractional-Delay FIR Filters Using Coefficient Symmetry

    Tian-Bo Deng;Yong Lian

  • A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT

    Chacko John Deepu;Chun-Huat Heng;Yong Lian

  • A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors

    Nassim Ravanshad;Hamidreza Rezaee-Dehsorkh;Reza Lotfi;Yong Lian

  • A 300-mV 220-nW Event-Driven ADC With Real-Time QRS Detection for Wearable ECG Sensors

    Xiaoyang Zhang;Yong Lian

  • Frequency-response masking approach for digital filter design: complexity reduction via masking filter factorization

    Y.C. Lim;Yong Lian

  • A joint QRS detection and data compression scheme for wearable sensors.

    Chacko John Deepu;Yong Lian

  • A computationally efficient nonuniform FIR digital filter bank for hearing aids

    Yong Lian;Ying Wei

  • Towards a Continuous Non-Invasive Cuffless Blood Pressure Monitoring System Using PPG: Systems and Circuits Review

    Guoxing Wang;Mohamed Atef;Yong Lian

  • An ECG-on-Chip With 535 nW/Channel Integrated Lossless Data Compressor for Wireless Sensors

    Chacko John Deepu;Xiaoyang Zhang;Wen-Sin Liew;David Liang Tai Wong

  • A Low Active Leakage and High Reliability Phase Change Memory (PCM) Based Non-Volatile FPGA Storage Element

    Kejie Huang;Yajun Ha;Rong Zhao;Akash Kumar

  • A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors

    Chacko John Deepu;Xiaoyang Zhang;Chun Huat Heng;Yong Lian

  • A 13.34 μ W Event-Driven Patient-Specific ANN Cardiac Arrhythmia Classifier for Wearable ECG Sensors

    Yang Zhao;Zhongxia Shang;Yong Lian

  • Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI

    Doreen Lau;Zhihao Chen;Ju Teng Teo;Soon Huat Ng

  • A 0.6-V 82-dB 28.6- $\mu$ W Continuous-Time Audio Delta-Sigma Modulator

    Jinghua Zhang;Yong Lian;Libin Yao;Bo Shi

  • A 0.7-V 17.4-/spl mu/W 3-Lead Wireless ECG SoC

    Mahmood Khayatzadeh;Xiaoyang Zhang;Jun Tan;Wen-Sin Liew

  • A polynomial-time algorithm for designing FIR filters with power-of-two coefficients

    Dongning Li;Yong Ching Lim;Yong Lian;Jianjian Song

  • A 2.89 $\mu $ W Dry-Electrode Enabled Clockless Wireless ECG SoC for Wearable Applications

    Xiaoyang Zhang;Zhe Zhang;Yongfu Li;Changrong Liu

  • A 1V 22µW 32-channel implantable EEG recording IC

    Xiaodan Zou;Wen-Sin Liew;Libin Yao;Yong Lian

Frequent Co-Authors

Chun-Huat Heng
Chun-Huat Heng National University of Singapore
Huazhong Yang
Huazhong Yang Tsinghua University
Yuanjin Zheng
Yuanjin Zheng Nanyang Technological University
Yong-Xin Guo
Yong-Xin Guo City University of Hong Kong
Ming-Fu Li
Ming-Fu Li Fudan University
Yannis Tsividis
Yannis Tsividis Columbia University
Mohamad Sawan
Mohamad Sawan Polytechnique Montréal
Ali M. Niknejad
Ali M. Niknejad University of California, Berkeley
Wouter A. Serdijn
Wouter A. Serdijn Delft University of Technology
Shahriar Mirabbasi
Shahriar Mirabbasi University of British Columbia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, expanding skillsets through complementary online degrees can open diverse career avenues. Many professionals find value in accelerated programs that tailor to the demands of a busy schedule. For instance, an accelerated online project management degree offers the opportunity to develop leadership and organizational skills vital in engineering project environments.

Obtaining a project management bachelor degree can complement a technical background, preparing graduates for roles where managing teams and timelines is critical. These skills are especially useful in multidisciplinary engineering projects.

For working adults balancing careers and education, accelerated degree programs for working adults provide flexible pacing and efficient routes to advancement. Such programs are designed to accommodate professional commitments without sacrificing academic quality.

Another growing field intersecting with engineering is educational technology. Pursuing an instructional design degree online can prepare graduates to develop training materials and learning solutions tailored to technical audiences, enhancing workforce development within engineering companies.

Best Scientists Citing Yong Lian

Trending Scientists

Recently Published Articles