World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
6839
World Ranking
4135
National Ranking
634

Computer Science

D-Index
42
Citations
6863
World Ranking
8445
National Ranking
1099

Yik-Chung Wu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Yik-Chung Wu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 233 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Yik-Chung Wu D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yik-Chung Wu sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Yik-Chung Wu is affiliated with the University of Hong Kong in China and has contributed extensively to the fields of Engineering and Computer Science, with a significant focus on Electrical and Electronic Engineering. Their research outputs total 273 publications across multiple subfields including Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Computer Vision and Pattern Recognition.

Their work addresses various key topics such as Advanced Wireless Communication Technologies, Advanced MIMO Systems Optimization, Energy Harvesting in Wireless Networks, Cooperative Communication and Network Coding, Tensor Decomposition and Applications, Indoor and Outdoor Localization Technologies, and Sparse and Compressive Sensing Techniques.

Yik-Chung Wu has published frequently in leading venues including arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing, IEEE Internet of Things Journal, and IEEE Transactions on Communications. These publications reflect a broad engagement with both theoretical and applied aspects of wireless communication and signal processing.

Several recent papers demonstrate the range of their research interests and collaborations. These include:

  • MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Space Shift Keying With Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis, 2021, IEEE Open Journal of the Communications Society
  • Machine Intelligence at the Edge With Learning Centric Power Allocation, 2020, IEEE Transactions on Wireless Communications
  • Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems With SWIPT, 2020, IEEE Journal on Selected Areas in Communications
  • Intelligent-Reflecting-Surface-Aided Mobile Edge Computing With Binary Offloading: Energy Minimization for IoT Devices, 2022, IEEE Internet of Things Journal

Yik-Chung Wu has collaborated extensively with other researchers, frequently coauthoring with Miaowen Wen, Shuai Wang, Qingfeng Lin, Yang Li, and Lei Cheng. These repeated partnerships highlight an active engagement with a network of scholars in related focus areas.

Best Publications

  • Clock Synchronization of Wireless Sensor Networks

    Yik-Chung Wu;Q Chaudhari;E Serpedin

  • Clock Synchronization in Wireless Sensor Networks: An Overview

    Ill-Keun Rhee;Jaehan Lee;Jangsub Kim;Erchin Serpedin

  • Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges

    S. C. Chan;K. M. Tsui;H. C. Wu;Yunhe Hou

  • Joint Time Synchronization and Localization of an Unknown Node in Wireless Sensor Networks

    Jun Zheng;Yik-Chung Wu

  • Robust Joint Design of Linear Relay Precoder and Destination Equalizer for Dual-Hop Amplify-and-Forward MIMO Relay Systems

    Chengwen Xing;Shaodan Ma;Yik-Chung Wu

  • On Clock Synchronization Algorithms for Wireless Sensor Networks Under Unknown Delay

    Mei Leng;Yik-Chung Wu

  • Wirelessly Powered Two-Way Communication With Nonlinear Energy Harvesting Model: Rate Regions Under Fixed and Mobile Relay

    Shuai Wang;Minghua Xia;Kaibin Huang;Yik-Chung Wu

  • Distributed Clock Synchronization for Wireless Sensor Networks Using Belief Propagation

    Mei Leng;Yik-Chung Wu

  • A General Robust Linear Transceiver Design for Multi-Hop Amplify-and-Forward MIMO Relaying Systems

    Chengwen Xing;Shaodan Ma;Zesong Fei;Yik-Chung Wu

  • Joint CFO and Channel Estimation for Multiuser MIMO-OFDM Systems With Optimal Training Sequences

    Jianwu Chen;Yik-Chung Wu;Shaodan Ma;Tung-Sang Ng

  • DoA Estimation and Capacity Analysis for 3-D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems

    Rubayet Shafin;Lingjia Liu;Jianzhong Zhang;Yik-Chung Wu

  • A distributed multihop time synchronization protocol for wireless sensor networks using Pairwise Broadcast Synchronization

    King-Yip Cheng;King-Shan Lui;Yik-Chung Wu;V. Tam

  • Timing Synchronization in Decode-and-Forward Cooperative Communication Systems

    Xiao Li;Yik-Chung Wu;E. Serpedin

  • Space Shift Keying With Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis

    Qiang Li;Miaowen Wen;Shuai Wang;George C. Alexandropoulos

  • Low-Complexity Maximum-Likelihood Estimator for Clock Synchronization of Wireless Sensor Nodes Under Exponential Delays

    Mei Leng;Yik-Chung Wu

  • On Convergence Conditions of Gaussian Belief Propagation

    Qinliang Su;Yik-Chung Wu

  • Transceiver Design for Dual-Hop Nonregenerative MIMO-OFDM Relay Systems Under Channel Uncertainties

    Chengwen Xing;Shaodan Ma;Yik-Chung Wu;Tung-Sang Ng

  • Machine Intelligence at the Edge With Learning Centric Power Allocation

    Shuai Wang;Yik-Chung Wu;Minghua Xia;Rui Wang

  • Intelligent-Reflecting-Surface-Aided Mobile Edge Computing With Binary Offloading: Energy Minimization for IoT Devices

    Unknown

  • Distributed Clock Skew and Offset Estimation in Wireless Sensor Networks: Asynchronous Algorithm and Convergence Analysis

    Jian Du;Yik-Chung Wu

  • On the design and efficient implementation of the Farrow structure

    C.K.S. Pun;Y.C. Wu;S.C. Chan;K.L. Ho

  • Exact Performance Analysis of Dual-Hop Semi-Blind AF Relaying over Arbitrary Nakagami-m Fading Channels

    Minghua Xia;Chengwen Xing;Yik-Chung Wu;S. Aissa

  • Orthogonal Frequency Division Multiple Access Fundamentals and Applications

    Tao Jiang;Lingyang Song;Yan Zhang

  • Joint CFO and Channel Estimation for OFDM-Based Two-Way Relay Networks

    Gongpu Wang;Feifei Gao;Yik-Chung Wu;C Tellambura

Frequent Co-Authors

Shaodan Ma
Shaodan Ma University of Macau
Tung-Sang Ng
Tung-Sang Ng University of Hong Kong
Erchin Serpedin
Erchin Serpedin Texas A&M University
Miaowen Wen
Miaowen Wen South China University of Technology
H. Vincent Poor
H. Vincent Poor Princeton University
Zesong Fei
Zesong Fei Beijing Institute of Technology
Xiao Li
Xiao Li China University of Mining and Technology
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Feifei Gao
Feifei Gao Tsinghua University
Soummya Kar
Soummya Kar Carnegie Mellon University

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Additionally, competency based masters emphasize mastering skills and knowledge over time spent in class, which is ideal for students aiming to demonstrate practical expertise in engineering fields and move swiftly through their graduate studies.

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