World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5038
World Ranking
10371
National Ranking
316

Electronics and Electrical Engineering

D-Index
37
Citations
5179
World Ranking
5169
National Ranking
151

Overview

Qinghua Guo is affiliated with the University of Wollongong in Australia and primarily works within the fields of Engineering and Computer Science. Their research contributions span several specialized subfields including Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Signal Processing, and Biomedical Engineering.

The scientist's notable research topics include:

  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • Radar Systems and Signal Processing
  • Sparse and Compressive Sensing Techniques
  • Advanced MIMO Systems Optimization
  • PAPR reduction in OFDM
  • Blind Source Separation Techniques

Qinghua Guo has published extensively across multiple venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications Letters
  • SSRN Electronic Journal

Among recent publications, the following papers demonstrate the scope of their work:

  • User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things, 2020, IEEE Internet of Things Journal
  • Iterative Detection for Orthogonal Time Frequency Space Modulation With Unitary Approximate Message Passing, 2021, IEEE Transactions on Wireless Communications
  • Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications, 2022, IEEE Transactions on Communications
  • Message Passing-Based Structured Sparse Signal Recovery for Estimation of OTFS Channels With Fractional Doppler Shifts, 2021, IEEE Transactions on Wireless Communications
  • Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning, 2024, Journal of Energy Chemistry

Their frequent collaborators include Ming Jin, Yanguang Yu, Zhengdao Yuan, Jiangtao Xi, and Zhongyong Wang. Collaborative research with these peers has contributed to a steady output of scientific papers and advancements in their fields.

Best Publications

  • Low-Complexity Iterative Detection for Large-Scale Multiuser MIMO-OFDM Systems Using Approximate Message Passing

    Sheng Wu;Linling Kuang;Zuyao Ni;Jianhua Lu

  • The OFDM-IDMA approach to wireless communication systems

    Li Ping;Qinghua Guo;Jun Tong

  • Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications

    Unknown

  • User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things

    Zhaoji Zhang;Ying Li;Chongwen Huang;Qinghua Guo

  • LMMSE turbo equalization based on factor graphs

    Qinghua Guo;Li Ping

  • Iterative Detection for Orthogonal Time Frequency Space Modulation with Unitary Approximate Message Passing

    Zhengdao Yuan;Fei Liu;Weijie Yuan;Qinghua Guo

  • Evolution analysis of low-cost iterative equalization in coded linear systems with cyclic prefixes

    Xiaojun Yuan;Qinghua Guo;Xiaodong Wang;Li Ping

  • New approach to improve the accuracy of 3-D shape measurement of moving object using phase shifting profilometry

    Lei Lu;Jiangtao Xi;Yanguang Yu;Qinghua Guo

  • A Concise Representation for the Soft-in Soft-out LMMSE Detector

    Qinghua Guo;Defeng David Huang

  • Block Sparse Bayesian Learning Based Joint User Activity Detection and Channel Estimation for Grant-Free NOMA Systems

    Yuanyuan Zhang;Qinghua Guo;Zhongyong Wang;Jiangtao Xi

  • Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts

    Fei Liu;Zhengdao Yuan;Qinghua Guo;Zhongyong Wang

  • A low-complexity iterative channel estimation and detection technique for doubly selective channels

    Qinghua Guo;Li Ping;Defeng Huang

  • Iterative Receivers for Downlink MIMO-SCMA: Message Passing and Distributed Cooperative Detection

    Weijie Yuan;Nan Wu;Qinghua Guo;Yonghui Li

  • Deep Clipping for Impulsive Noise Mitigation in OFDM-Based Power-Line Communications

    Filbert H. Juwono;Qinghua Guo;Defeng Huang;Kit Po Wong

  • Superposition coded modulation and iterative linear MMSE detection

    Li Ping;Jun Tong;Xiaojun Yuan;Qinghua Guo

  • Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement.

    Jiashuo Shi;Xinjun Zhu;Hongyi Wang;Limei Song

  • Direction-of-Arrival Estimation in the Presence of Unknown Nonuniform Noise Fields

    Yuntao Wu;Chaohuan Hou;Guisheng Liao;Qinghua Guo

  • DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

    Zhaoji Zhang;Ying Li;Chongwen Huang;Qinghua Guo

  • TOA-Based Passive Localization Constructed Over Factor Graphs: A Unified Framework

    Weijie Yuan;Nan Wu;Qinghua Guo;Xiaojing Huang

  • Iterative Joint Channel Estimation, User Activity Tracking, and Data Detection for FTN-NOMA Systems Supporting Random Access

    Weijie Yuan;Nan Wu;Qinghua Guo;Derrick Wing Kwan Ng

  • Approximate Message Passing with Unitary Transformation

    Qinghua Guo;Jiangtao Xi

  • A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

    Qinghua Guo;Ping Li

Frequent Co-Authors

Jiangtao Xi
Jiangtao Xi University of Wollongong
Li Ping
Li Ping City University of Hong Kong
Sven Nordholm
Sven Nordholm Curtin University
Weijie Yuan
Weijie Yuan Southern University of Science and Technology
Xiaojun Yuan
Xiaojun Yuan University of Electronic Science and Technology of China
Chau Yuen
Chau Yuen Nanyang Technological University
Guisheng Liao
Guisheng Liao Xidian University
yong liang guan
yong liang guan Nanyang Technological University
Yonghui Li
Yonghui Li University of Sydney
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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

Pursuing a degree in Electronics and Electrical Engineering can open doors to diverse career options. For those balancing full-time work or family commitments, exploring best online college for military spouses programs can provide flexible education tailored to unique schedules and needs.

Many prospective students benefit from programs that allow easy entry, such as online colleges with weekly start dates, enabling quicker enrollment and faster progress toward degrees or certificates in this field.

For individuals seeking rapid workforce entry, certificate programs that pay well offer focused training in specialized areas like circuit design or automation, often leading to higher starting salaries within months.

Additionally, for introverted learners who may prefer independent or remote work environments, there are good paying jobs for introverts within electrical and electronics engineering, such as design engineers or systems analysts, providing rewarding opportunities without the pressure of constant social interaction.

Best Scientists Citing Qinghua Guo

Trending Scientists

Recently Published Articles