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Mathematics
China
2026
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Computer Science
China
2025

D-Index & Metrics

Mathematics

D-Index
97
Citations
41416
World Ranking
56
National Ranking
3

Electronics and Electrical Engineering

D-Index
90
Citations
39646
World Ranking
289
National Ranking
45

Zhi-Quan Luo publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Zhi-Quan Luo sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 403 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Zhi-Quan Luo D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Zhi-Quan Luo sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 97 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Mathematics in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Mathematics in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2014 - Fellow of the Royal Society of Canada Academy of Science
  • 2011 - SIAM Fellow For the development of novel applied mathematics ideas and methods for signal processing and digital communication.
  • 2007 - IEEE Fellow For contributions to modern optimization and its applications in signal processing and digital communications

Overview

Zhi-Quan Luo is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans multiple fields within computer science and engineering, focusing particularly on electrical and electronic engineering, artificial intelligence, and computer networks and communications.

Their work covers various specialized subfields such as:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computational Mechanics
  • Computer Vision and Pattern Recognition

Research topics that feature prominently in their publications include:

  • Sparse and Compressive Sensing Techniques
  • Advanced MIMO Systems Optimization
  • Software-Defined Networks and 5G
  • Adversarial Robustness in Machine Learning
  • Advanced Wireless Communication Technologies
  • Stochastic Gradient Optimization Techniques
  • Network Security and Intrusion Detection

Zhi-Quan Luo has contributed extensively to scientific literature, with a significant number of publications appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Network and Service Management
  • Signal Processing

Recent notable papers include:

  • "Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Transfer Learning and Meta Learning-Based Fast Downlink Beamforming Adaptation," 2020, published in IEEE Transactions on Wireless Communications
  • "Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?," 2023, published in IEEE Transactions on Signal Processing
  • "Configuring Intelligent Reflecting Surface With Performance Guarantees: Blind Beamforming," 2022, published in IEEE Transactions on Wireless Communications
  • "Intelligent Surfaces Empowered Wireless Network: Recent Advances and the Road to 6G," 2024, published in Proceedings of the IEEE

The scientist has collaborated frequently with several co-authors, including:

  • Qingjiang Shi
  • Kaiming Shen
  • Ya-Feng Liu
  • Wei-Kun Chen
  • Tsung-Hui Chang

Zhi-Quan Luo has received several distinctions in their career, such as:

  • Fellow of the Royal Society of Canada (2014) by the Academy of Science
  • SIAM Fellow (2011) for the development of novel applied mathematics ideas and methods for signal processing and digital communication
  • IEEE Fellow (2007) for contributions to modern optimization and its applications in signal processing and digital communications

Best Publications

  • Semidefinite Relaxation of Quadratic Optimization Problems

    Zhi-quan Luo;Wing-kin Ma;Anthony Man-Cho So;Yinyu Ye

  • An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel

    Qingjiang Shi;M. Razaviyayn;Zhi-Quan Luo;Chen He

  • Mathematical Programs with Equilibrium Constraints

    Zhi-Quan Luo;Jong-Shi Pang;Daniel Ralph

  • Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem

    S.A. Vorobyov;A.B. Gershman;Zhi-Quan Luo

  • Transmit beamforming for physical-layer multicasting

    N.D. Sidiropoulos;T.N. Davidson;Zhi-Quan Luo

  • A UNIFIED CONVERGENCE ANALYSIS OF BLOCK SUCCESSIVE MINIMIZATION METHODS FOR NONSMOOTH OPTIMIZATION

    Meisam Razaviyayn;Mingyi Hong;Zhi Quan Luo

  • Dynamic Spectrum Management: Complexity and Duality

    Zhi-Quan Luo;Shuzhong Zhang

  • Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

    Mingyi Hong;Zhi Quan Luo;Meisam Razaviyayn

  • On the linear convergence of the alternating direction method of multipliers

    Mingyi Hong;Zhi-Quan Luo

  • On the convergence of the coordinate descent method for convex differentiable minimization

    Z. Q. Luo;P. Tseng

  • Robust adaptive beamforming for general-rank signal models

    S. Shahbazpanahi;A.B. Gershman;Zhi-Quan Luo;Kon Max Wong

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

    E. Karipidis;N.D. Sidiropoulos;Zhi-Quan Luo

  • An introduction to convex optimization for communications and signal processing

    Zhi-Quan Luo;Wei Yu

  • Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel State Information

    V. Havary-Nassab;S. Shahbazpanahi;A. Grami;Zhi-Quan Luo

  • Error bounds and convergence analysis of feasible descent methods: a general approach

    Zhi Quan Luo;Paul Tseng

  • Smoothing Functions for Second-Order-Cone Complementarity Problems

    Masao Fukushima;Zhi-Quan Luo;Paul Tseng

  • Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA

    Wing-Kin Ma;T.N. Davidson;Kon Max Wong;Zhi-Quan Luo

  • Guaranteed Matrix Completion via Non-Convex Factorization

    Ruoyu Sun;Zhi-Quan Luo

  • A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

    Mingyi Hong;Meisam Razaviyayn;Zhi-Quan Luo;Jong-Shi Pang

  • Universal decentralized estimation in a bandwidth constrained sensor network

    Zhi-Quan Luo

  • Power scheduling of universal decentralized estimation in sensor networks

    Jin-Jun Xiao;Shuguang Cui;Zhi-Quan Luo;A.J. Goldsmith

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel

    Eleftherios Karipidis;Nicholas D. Sidiropoulos;Zhi-Quan Luo

Frequent Co-Authors

Mingyi Hong
Mingyi Hong University of Minnesota
Meisam Razaviyayn
Meisam Razaviyayn University of Southern California
Kon Max Wong
Kon Max Wong McMaster University
Timothy N. Davidson
Timothy N. Davidson McMaster University
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Shuzhong Zhang
Shuzhong Zhang University of Minnesota
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Paul Tseng
Paul Tseng University of Washington

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