World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
64
Citations
22429
World Ranking
1264
National Ranking
524

Computer Science

D-Index
74
Citations
25327
World Ranking
1475
National Ranking
768

Feng Zhao 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 Feng Zhao 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: 196 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Feng Zhao 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 Feng Zhao 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to networked embedded computing and sensor networks
  • 2006 - ACM Distinguished Member
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Feng Zhao is affiliated with Microsoft in the United States. Their research spans two main fields: Engineering and Computer Science, with a significant focus on subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Information Systems.

Their work covers a range of topics, including:

  • Advanced MIMO Systems Optimization
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Wireless Communication Technologies
  • Vehicular Ad Hoc Networks (VANETs)

Feng Zhao has published extensively in various venues. Frequent publication locations include:

  • arXiv (Cornell University)
  • IEEE Access
  • Wireless Communications and Mobile Computing
  • Research Square (Research Square)
  • Ad Hoc Networks

Recent papers authored or co-authored by Feng Zhao include:

  • "A deep reinforcement learning for user association and power control in heterogeneous networks," 2020, Ad Hoc Networks
  • "wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks," 2021, IEEE Transactions on Wireless Communications
  • "BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks Under Adversarial SINR," 2022, IEEE Transactions on Mobile Computing
  • "Cross-domain identity authentication scheme based on blockchain and PKI system," 2022, High-Confidence Computing
  • "Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training," 2020, Sensors

Frequent co-authors collaborating with Feng Zhao include Xiaoling Tao, Xiaofeng Ai, Changsong Yang, Guoling Liang, and Minghui Xu.

Feng Zhao also contributed to book publications, including the work titled "Strategic Investment for Health System Resilience: A Three-Layer Framework," published by Washington, DC: World Bank eBooks in 2024.

The scientist has received several recognitions, such as:

  • IEEE Fellow (2010), for contributions to networked embedded computing and sensor networks
  • ACM Distinguished Member (2006)
  • Fellow of Alfred P. Sloan Foundation (1994)

Best Publications

  • Wireless Sensor Networks: An Information Processing Approach

    Feng Zhao;Leonidas Guibas

  • Information-driven dynamic sensor collaboration

    Feng Zhao;Jaewon Shin;J. Reich

  • Energy aware consolidation for cloud computing

    Shekhar Srikantaiah;Aman Kansal;Feng Zhao

  • Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks

    Maurice Chu;Horst Haussecker;Feng Zhao

  • A vehicle-to-vehicle communication protocol for cooperative collision warning

    X. Yang;L. Liu;N.H. Vaidya;F. Zhao

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services

    Gong Chen;Wenbo He;Jie Liu;Suman Nath

  • Virtual machine power metering and provisioning

    Aman Kansal;Feng Zhao;Jie Liu;Nupur Kothari

  • A reliable and accurate indoor localization method using phone inertial sensors

    Fan Li;Chunshui Zhao;Guanzhong Ding;Jian Gong

  • Information-Driven Dynamic Sensor Collaboration for Tracking Applications

    Feng Zhao;Jaewon Shin;James Reich

  • Collaborative signal and information processing: an information-directed approach

    Feng Zhao;Jie Liu;Juan Liu;L. Guibas

  • SenseWeb: An Infrastructure for Shared Sensing

    W.I. Grosky;A. Kansal;S. Nath;Jie Liu

  • Epsilon: a visible light based positioning system

    Liqun Li;Pan Hu;Chunyi Peng;Guobin Shen

  • Collaborative in-network processing for target tracking

    Juan Liu;James Reich;Feng Zhao

  • Tiny web services: design and implementation of interoperable and evolvable sensor networks

    Nissanka B. Priyantha;Aman Kansal;Michel Goraczko;Feng Zhao

  • Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing

    Yuanchao Shu;Cheng Bo;Guobin Shen;Chunshui Zhao

  • Energy-accuracy trade-off for continuous mobile device location

    Kaisen Lin;Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao

  • Automatically characterizing places with opportunistic crowdsensing using smartphones

    Yohan Chon;Nicholas D. Lane;Fan Li;Hojung Cha

  • Kineograph: taking the pulse of a fast-changing and connected world

    Raymond Cheng;Ji Hong;Aapo Kyrola;Youshan Miao

  • Toward Community Sensing

    Andreas Krause;Eric Horvitz;Aman Kansal;Feng Zhao

  • Semantic streams: a framework for composable semantic interpretation of sensor data

    Kamin Whitehouse;Feng Zhao;Jie Liu

Frequent Co-Authors

Jie Liu
Jie Liu Harbin Institute of Technology
Aman Kansal
Aman Kansal Microsoft (United States)
Suman Nath
Suman Nath Microsoft (United States)
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Guobin Shen
Guobin Shen Hong Kong University of Science and Technology
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Ranveer Chandra
Ranveer Chandra Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University

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