World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
30395
World Ranking
482
National Ranking
222

Computer Science

D-Index
80
Citations
30393
World Ranking
1066
National Ranking
572

Lang Tong 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 Lang Tong 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: 546 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Lang Tong 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 Lang Tong 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: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Lang Tong is affiliated with Cornell University in the United States and has a research focus concentrated in the field of engineering, particularly within electrical and electronic engineering.

Their main subfields of study include:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Artificial Intelligence
  • Automotive Engineering
  • Computer Networks and Communications

Their scholarly output encompasses a wide range of topics, notably:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Power System Optimization and Stability
  • Advanced Battery Technologies Research
  • Anomaly Detection Techniques and Applications

Lang Tong has contributed numerous papers published in leading venues. Some recent papers include:

  • State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks, 2022, IEEE Transactions on Instrumentation and Measurement
  • Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems, 2020, IEEE Transactions on Smart Grid
  • Pricing Multi-Interval Dispatch Under Uncertainty Part I: Dispatch-Following Incentives, 2021, IEEE Transactions on Power Systems
  • A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems, 2022, IEEE Transactions on Power Systems
  • Optimal Eco-Driving Control of Autonomous and Electric Trucks in Adaptation to Highway Topography: Energy Minimization and Battery Life Extension, 2022, IEEE Transactions on Transportation Electrification

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • 2021 IEEE Power & Energy Society General Meeting (PESGM)
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Signal Processing

Lang Tong collaborates regularly with a core group of coauthors, including:

  • Ahmed S. Alahmed
  • Cong Chen
  • Xinyi Wang
  • Ye Guo
  • Subhonmesh Bose

Best Publications

  • Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

    Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen

  • Blind identification and equalization based on second-order statistics: a time domain approach

    Lang Tong;Guanghan Xu;T. Kailath

  • A least-squares approach to blind channel identification

    Guanghan Xu;Hui Liu;Lang Tong;T. Kailath

  • Indeterminacy and identifiability of blind identification

    L. Tong;R.-w. Liu;V.C. Soon;Y.-F. Huang

  • Malicious Data Attacks on the Smart Grid

    O. Kosut;Liyan Jia;R. J. Thomas;Lang Tong

  • Multichannel blind identification: from subspace to maximum likelihood methods

    Lang Tong;S. Perreau

  • COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space

    S. Geirhofer;Lang Tong;B.M. Sadler

  • A new approach to blind identification and equalization of multipath channels

    L. Tong;G. Xu;T. Kailath

  • Pilot-assisted wireless transmissions: general model, design criteria, and signal processing

    Lang Tong;B.M. Sadler;Min Dong

  • Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space

    Stefan Geirhofer;Lang Tong;Brian M. Sadler

  • Sensor networks with mobile agents

    Lang Tong;Qing Zhao;S. Adireddy

  • The Market for Electric Vehicles: Indirect Network Effects and Policy Design

    Shanjun Li;Lang Tong;Jianwei Xing;Yiyi Zhou

  • Decentralized cognitive mac for dynamic spectrum access

    Q. Zhao;L. Tong;A. Swami

  • Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures

    Oliver Kosut;Liyan Jia;Robert J. Thomas;Lang Tong

  • Opportunistic Spectrum Access via Periodic Channel Sensing

    Qianchuan Zhao;S. Geirhofer;Lang Tong;B.M. Sadler

  • AMUSE: a new blind identification algorithm

    L. Tong;V.C. Soon;Y.F. Huang;R. Liu

  • Stability and delay of finite-user slotted ALOHA with multipacket reception

    V. Naware;G. Mergen;L. Tong

  • Channel-aware distributed detection in wireless sensor networks

    Biao Chen;Lang Tong;P.K. Varshney

  • On Topology Attack of a Smart Grid: Undetectable Attacks and Countermeasures

    Jinsub Kim;Lang Tong

  • Optimal placement of training for frequency-selective block-fading channels

    S. Adireddy;Lang Tong;H. Viswanathan

  • Multipacket reception in random access wireless networks: from signal processing to optimal medium access control

    Lang Tong;Qing Zhao;G. Mergen

Frequent Co-Authors

Qing Zhao
Qing Zhao Cornell University
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Min Dong
Min Dong University of Ontario Institute of Technology
Wen-Zhan Song
Wen-Zhan Song University of Georgia
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Biao Chen
Biao Chen Syracuse University
Peter Willett
Peter Willett University of Connecticut
Thomas Kailath
Thomas Kailath Stanford University
Hongbin Sun
Hongbin Sun Tsinghua University

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