World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
2994
World Ranking
5004
National Ranking
740

Wei Gong 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 Wei Gong 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: 158 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Wei Gong 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 Wei Gong 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Wei Gong is affiliated with the University of Science and Technology of China. Their research predominantly spans the fields of Engineering and Computer Science, with a focused expertise in Electrical and Electronic Engineering and Computer Networks and Communications. Their work also extends to Aerospace Engineering, Ocean Engineering, and Computer Vision and Pattern Recognition.

The scientist has contributed significantly to various main research topics, including:

  • Energy Harvesting in Wireless Networks
  • Indoor and Outdoor Localization Technologies
  • Underwater Vehicles and Communication Systems
  • Antenna Design and Analysis
  • Wireless Networks and Protocols
  • Opportunistic and Delay-Tolerant Networks
  • Bluetooth and Wireless Communication Technologies

Wei Gong's recent publications reflect a focus on wireless communication, RFID technologies, and domain adaptation techniques. Notable papers include:

  • "A survey on ambient backscatter communications: Principles, systems, applications, and challenges" (2022), published in Computer Networks
  • "Multi-Adversarial In-Car Activity Recognition Using RFIDs" (2020), published in IEEE Transactions on Mobile Computing
  • "RF-Pen: Practical Real-Time RFID Tracking in the Air" (2020), published in IEEE Transactions on Mobile Computing
  • "Target-oriented Semi-supervised Domain Adaptation for WiFi-based HAR" (2022), published at IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • "Reliable and Practical Bluetooth Backscatter With Commodity Devices" (2021), published in IEEE/ACM Transactions on Networking

Their frequent co-authors include Jiangchuan Liu, Weiqi Wu, Si Chen, Zhipeng Zhou, and Longzhi Yuan. This reflects a collaborative research environment with several researchers working closely across multiple projects.

Wei Gong's work has appeared repeatedly in esteemed venues, including:

  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • arXiv (Cornell University)
  • Computer Networks
  • IEEE Internet of Things Journal

Additionally, Wei Gong has authored a book published by Springer Nature titled Practical Backscatter Communication for the Internet of Things, released in 2024.

Best Publications

  • On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach

    Fangxin Wang;Wei Gong;Jiangchuan Liu

  • Spatial Stream Backscatter Using Commodity WiFi

    Jia Zhao;Wei Gong;Jiangchuan Liu

  • RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFi

    Wei Gong;Jiangchuan Liu

  • CitySee: not only a wireless sensor network

    Yunhao Liu;Xufei Mao;Yuan He;Kebin Liu

  • X-Tandem: Towards Multi-hop Backscatter Communication with Commodity WiFi

    Jia Zhao;Wei Gong;Jiangchuan Liu

  • Detecting Outlier Measurements Based on Graph Rigidity for Wireless Sensor Network Localization

    Zheng Yang;Chenshu Wu;Tao Chen;Yiyang Zhao

  • SiFi: Pushing the Limit of Time-Based WiFi Localization Using a Single Commodity Access Point

    Wei Gong;Jiangchuan Liu

  • A survey on ambient backscatter communications: Principles, systems, applications, and challenges

    Unknown

  • Trust Based Routing for Misbehavior Detection in Ad Hoc Networks

    Wei Gong;Zhiyang You;Danning Chen;Xibin Zhao

  • Multiprotocol backscatter for personal IoT sensors

    Wei Gong;Longzhi Yuan;Qiwei Wang;Jia Zhao

  • WordRecorder: Accurate Acoustic-based Handwriting Recognition Using Deep Learning

    Haishi Du;Ping Li;Hao Zhou;Wei Gong

  • RapidRider: Efficient WiFi Backscatter with Uncontrolled Ambient Signals

    Qiwei Wang;Si Chen;Jia Zhao;Wei Gong

  • Channel Selective Activity Recognition with WiFi: A Deep Learning Approach Exploring Wideband Information

    Fangxin Wang;Wei Gong;Jiangchuan Liu;Kui Wu

  • TagFree Activity Identification with RFIDs

    Xiaoyi Fan;Wei Gong;Jiangchuan Liu

  • WiCAR: wifi-based in-car activity recognition with multi-adversarial domain adaptation

    Fangxin Wang;Jiangchuan Liu;Wei Gong

  • Content-agnostic backscatter from thin air

    Unknown

  • Commodity-level BLE backscatter

    Maolin Zhang;Si Chen;Jia Zhao;Wei Gong

  • When RFID Meets Deep Learning: Exploring Cognitive Intelligence for Activity Identification

    Xiaoyi Fan;Fangxin Wang;Feng Wang;Wei Gong

  • Reliable Backscatter with Commodity BLE

    Maolin Zhang;Jia Zhao;Si Chen;Wei Gong

  • Multi-Adversarial In-Car Activity Recognition Using RFIDs

    Fangxin Wang;Jiangchuan Liu;Wei Gong

  • Informative counting: fine-grained batch authentication for large-scale RFID systems

    Wei Gong;Kebin Liu;Xin Miao;Qiang Ma

  • MobiRate: Mobility-Aware Rate Adaptation Using PHY Information for Backscatter Networks

    Wei Gong;Si Chen;Jiangchuan Liu;Zhi Wang

  • Missing Tag Identification in COTS RFID Systems: Bridging the Gap between Theory and Practice

    Jihong Yu;Wei Gong;Jiangchuan Liu;Lin Chen

  • Towards scalable backscatter sensor mesh with decodable relay and distributed excitation

    Jia Zhao;Wei Gong;Jiangchuan Liu

  • Robust Indoor Wireless Localization Using Sparse Recovery

    Wei Gong;Jiangchuan Liu

  • On Efficient Tree-Based Tag Search in Large-Scale RFID Systems

    Jihong Yu;Wei Gong;Jiangchuan Liu;Lin Chen

Frequent Co-Authors

Jiangchuan Liu
Jiangchuan Liu Simon Fraser University
Yunhao Liu
Yunhao Liu Tsinghua University
Amiya Nayak
Amiya Nayak University of Ottawa
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Yong Cui
Yong Cui Tsinghua University
Wenbo He
Wenbo He McMaster University
Lei Yang
Lei Yang Hong Kong Polytechnic University
Yuan He
Yuan He Tsinghua University
Zheng Yang
Zheng Yang Tsinghua University
Shaojie Tang
Shaojie Tang The University of Texas at Dallas

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