World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6715
World Ranking
7671
National Ranking
1009

Overview

Wei Yi is a researcher affiliated with the University of Electronic Science and Technology of China. Their work spans fields primarily in Engineering and Computer Science, with a significant focus on Aerospace Engineering and Artificial Intelligence, among other related subfields.

Their research portfolio includes extensive contributions to radar systems, target tracking, and sensor networks. Wei Yi's main topics of investigation cover:

  • Radar Systems and Signal Processing
  • Target Tracking and Data Fusion in Sensor Networks
  • Advanced SAR Imaging Techniques
  • Distributed Sensor Networks and Detection Algorithms
  • Microwave Imaging and Scattering Analysis
  • Infrared Target Detection Methodologies
  • Indoor and Outdoor Localization Technologies

Wei Yi has published a large number of papers in several prominent venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Aerospace and Electronic Systems
  • Signal Processing
  • IEEE Transactions on Vehicular Technology

Some recent notable publications by Wei Yi include:

  • "Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems" (2020, IEEE Transactions on Signal Processing)
  • "Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking" (2020, IEEE Transactions on Vehicular Technology)
  • "Suboptimal Low Complexity Joint Multi-Target Detection and Localization for Non-Coherent MIMO Radar With Widely Separated Antennas" (2020, IEEE Transactions on Signal Processing)
  • "Distributed Multi-Sensor Fusion of PHD Filters With Different Sensor Fields of View" (2020, IEEE Transactions on Signal Processing)

Wei Yi often collaborates with other researchers. Frequent co-authors include:

  • Lingjiang Kong
  • Ye Yuan
  • Wujun Li
  • Shixing Yang
  • Yangming Lai

The research conducted by Wei Yi involves complex algorithm development and resource optimization for radar and sensor network systems, aiming at improving detection, tracking, and power allocation in multi-target environments. Their work in signal processing and aerospace engineering intersects with artificial intelligence techniques, contributing to advances in sensor fusion and detection algorithms.

Best Publications

  • Coherent Integration for Maneuvering Target Detection Based on Radon-Lv’s Distribution

    Xiaolong Li;Guolong Cui;Wei Yi;Lingjiang Kong

  • Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems

    Wei Yi;Ye Yuan;Reza Hoseinnezhad;Lingjiang Kong

  • Joint Node Selection and Power Allocation Strategy for Multitarget Tracking in Decentralized Radar Networks

    Mingchi Xie;Wei Yi;Thia Kirubarajan;Lingjiang Kong

  • A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF

    Xiaolong Li;Guolong Cui;Wei Yi;Lingjiang Kong

  • Fast Non-Searching Method for Maneuvering Target Detection and Motion Parameters Estimation

    Xiaolong Li;Guolong Cui;Lingjiang Kong;Wei Yi

  • An Efficient Multi-Frame Track-Before-Detect Algorithm for Multi-Target Tracking

    Wei Yi;Mark R. Morelande;Lingjiang Kong;Jianyu Yang

  • Coherent Integration Algorithm for a Maneuvering Target With High-Order Range Migration

    Lingjiang Kong;Xiaolong Li;Guolong Cui;Wei Yi

  • Distributed Fusion With Multi-Bernoulli Filter Based on Generalized Covariance Intersection

    Bailu Wang;Wei Yi;Reza Hoseinnezhad;Suqi Li

  • Robust Distributed Fusion With Labeled Random Finite Sets

    Suqi Li;Wei Yi;Reza Hoseinnezhad;Giorgio Battistelli

  • Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking

    Wei Yi;Zicheng Fang;Wujun Li;Reza Hoseinnezhad

  • A Computationally Efficient Particle Filter for Multitarget Tracking Using an Independence Approximation

    Wei Yi;M. R. Morelande;Lingjiang Kong;Jianyu Yang

  • Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars

    Ye Yuan;Wei Yi;Reza Hoseinnezhad;Pramod K. Varshney

  • Multiframe Radar Detection of Fluctuating Targets Using Phase Information

    Haichao Jiang;Wei Yi;Thia Kirubarajan;Lingjiang Kong

  • Detection of weak maneuvering target based on keystone transform and matched filtering process

    Zhi Sun;Xiaolong Li;Wei Yi;Guolong Cui

  • STGRFT for Detection of Maneuvering Weak Target With Multiple Motion Models

    Xiaolong Li;Zhi Sun;Tat Soon Yeo;Tianxian Zhang

  • Computationally Eff i cient Multi-Agent Multi-Object Tracking With Labeled Random Finite Sets

    Suqi Li;Giorgio Battistelli;Luigi Chisci;Wei Yi

  • Receive-Beam Resource Allocation for Multiple Target Tracking With Distributed MIMO Radars

    Mingchi Xie;Wei Yi;Lingjiang Kong;Thia Kirubarajan

  • Suboptimal Low Complexity Joint Multi-Target Detection and Localization for Non-Coherent MIMO Radar With Widely Separated Antennas

    Wei Yi;Tao Zhou;Yue Ai;Rick S. Blum

  • Distributed Multi-Sensor Fusion of PHD Filters With Different Sensor Fields of View

    Wei Yi;Guchong Li;Giorgio Battistelli

  • Scaled accuracy based power allocation for multi-target tracking with colocated MIMO radars

    Ye Yuan;Wei Yi;Thia Kirubarajan;Lingjiang Kong

  • An Efficient Recursive Multiframe Track-Before-Detect Algorithm

    Jinghe Wang;Wei Yi;Thia Kirubarajan;Lingjiang Kong

Frequent Co-Authors

Lingjiang Kong
Lingjiang Kong University of Electronic Science and Technology of China
Guolong Cui
Guolong Cui University of Electronic Science and Technology of China
Jianyu Yang
Jianyu Yang University of Electronic Science and Technology of China
Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
Zhi Sun
Zhi Sun Tsinghua University
Giorgio Battistelli
Giorgio Battistelli University of Florence
Luigi Chisci
Luigi Chisci University of Florence
Rick S. Blum
Rick S. Blum Lehigh University
Pramod K. Varshney
Pramod K. Varshney Syracuse University
Tat Soon Yeo
Tat Soon Yeo National University of Singapore

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

Considering a future in Computer Science, it’s important to explore flexible degree options that cater to a wide range of learners. For those looking to kickstart their journey, 2 year online degrees offer a fast and affordable entry point, providing foundational skills and the potential to transfer credits toward a bachelor’s program.

If you already hold a degree and want to advance quickly, the fastest masters degree online programs allow you to upskill in less time, sometimes in as little as a year. For maximum career impact, many students seek the best masters degree to get, with computer science consistently ranked among the most valuable and in-demand.

Budget-conscious students can benefit from quality education without breaking the bank by enrolling at the cheapest online degrees institutions. Whichever path you choose, these options make it easier than ever to launch or accelerate a Computer Science career through accredited U.S. programs delivered fully online.

Best Scientists Citing Wei Yi

Trending Scientists