World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
5759
World Ranking
4350
National Ranking
662

Tianshu Bi 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 Tianshu Bi 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: 227 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Tianshu Bi 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 Tianshu Bi 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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Tianshu Bi is affiliated with North China Electric Power University in China, contributing extensively to the field of engineering, particularly electrical and electronic engineering. Their work spans various subfields, including control and systems engineering, energy engineering and power technology, aerospace engineering, and artificial intelligence.

The research focus of Tianshu Bi covers several main topics within the field of power systems and electrical engineering. These topics include:

  • HVDC Systems and Fault Protection
  • Power Systems Fault Detection
  • Power System Optimization and Stability
  • Islanding Detection in Power Systems
  • Integrated Energy Systems Optimization
  • Microgrid Control and Optimization
  • Smart Grid and Power Systems

Tianshu Bi has contributed to multiple scientific publications, with notable recent papers such as:

  • "Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation," 2020, IEEE Transactions on Power Systems
  • "Cosine Similarity Based Line Protection for Large-Scale Wind Farms," 2020, IEEE Transactions on Industrial Electronics
  • "Spearman Correlation-Based Pilot Protection for Transmission Line Connected to PMSGs and DFIGs," 2020, IEEE Transactions on Industrial Informatics
  • "A Power System Disturbance Classification Method Robust to PMU Data Quality Issues," 2021, IEEE Transactions on Industrial Informatics
  • "Bad Data Detection Algorithm for PMU Based on Spectral Clustering," 2020, Journal of Modern Power Systems and Clean Energy

The frequent co-authors listed with Tianshu Bi reflect ongoing collaborations in research projects and papers, including:

  • Hao Liu
  • Ke Jia
  • Cheng Wang
  • Junbo Zhao
  • Liming Zheng

Publications appear regularly in several academic venues that reflect the core areas of Bi's research. These frequent publication venues include:

  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Power Delivery
  • International Journal of Electrical Power & Energy Systems
  • Journal of Modern Power Systems and Clean Energy

Throughout the career, Tianshu Bi has produced a large volume of work within the field of engineering, with a total of 294 publications. Of these, 213 are focused on electrical and electronic engineering, while a smaller number cover control and systems engineering, energy engineering, aerospace, and artificial intelligence.

Best Publications

  • Measurements get together

    S. Chakrabarti;E. Kyriakides;Tianshu Bi;Deyu Cai

  • Phasor measurement units, WAMS, and their applications in protection and control of power systems

    Arun G. Phadke;Tianshu Bi

  • A novel hybrid state estimator for including synchronized phasor measurements

    T.S. Bi;X.H. Qin;Q.X. Yang

  • Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

    Junbo Zhao;Marcos Netto;Zhenyu Huang;Samson Shenglong Yu

  • Convex Optimization Based Distributed Optimal Gas-Power Flow Calculation

    Cheng Wang;Wei Wei;Jianhui Wang;Linquan Bai

  • Impact of Inverter-Interfaced Renewable Energy Generators on Distance Protection and an Improved Scheme

    Yu Fang;Ke Jia;Zhe Yang;Yanbin Li

  • High Frequency Impedance Based Fault Location in Distribution System With DGs

    Ke Jia;Tianshu Bi;Zhefeng Ren;David W. P. Thomas

  • Influence of Inverter-Interfaced Renewable Energy Generators on Directional Relay and an Improved Scheme

    Ke Jia;Zhe Yang;Yu Fang;Tianshu Bi

  • An Islanding Detection Method for Multi-DG Systems Based on High-Frequency Impedance Estimation

    Ke Jia;Hongsheng Wei;Tianshu Bi;David W. P. Thomas

  • Risk-Based Distributionally Robust Optimal Gas-Power Flow With Wasserstein Distance

    Cheng Wang;Rui Gao;Wei Wei;Miadreza Shafie-khah

  • Cosine Similarity Based Line Protection for Large-Scale Wind Farms

    Liming Zheng;Ke Jia;Tianshu Bi;Yu Fang

  • Transient current similarity based protection for wind farm transmission lines

    Ke Jia;Yanbin Li;Yu Fang;Liming Zheng

  • A NOVEL NEURAL NETWORK APPROACH FOR FAULT SECTION ESTIMATION

    T Bi;Y Ni;FF Wu;Q Yang

  • Dynamic Phasor Model-Based Synchrophasor Estimation Algorithm for M-Class PMU

    Tianshu Bi;Hao Liu;Qian Feng;Cheng Qian

  • Spearman Correlation-Based Pilot Protection for Transmission Line Connected to PMSGs and DFIGs

    Ke Jia;Zhe Yang;Liming Zheng;Zhengxuan Zhu

  • Resilient operational strategies for power systems considering the interactions with natural gas systems

    Ahmed R. Sayed;Ahmed R. Sayed;Cheng Wang;Tianshu Bi

  • Ground distance relaying algorithm for high resistance fault

    Z.Y. Xu;S.J. Jiang;Q.X. Yang;T.S. Bi

  • WAMS Implementation in China and the Challenges for Bulk Power System Protection

    Qixun Yang;Tianshu Bi;Jingtao Wu

  • Transmission line parameters identification based on moving-window TLS and PMU data

    Lan Ding;Tianshu Bi;DaoNong Zhang

  • On-line fault section estimation in power systems with radial basis function neural network

    Tianshu Bi;Zheng Yan;Fushuan Wen;Yixin Ni

Frequent Co-Authors

Junbo Zhao
Junbo Zhao University of Connecticut
David W. P. Thomas
David W. P. Thomas University of Nottingham
Felix F. Wu
Felix F. Wu University of Hong Kong
Wei Wei
Wei Wei Tsinghua University
Mark Sumner
Mark Sumner University of Nottingham
Joe H. Chow
Joe H. Chow Rensselaer Polytechnic Institute
Fushuan Wen
Fushuan Wen Zhejiang University
Vladimir Terzija
Vladimir Terzija Newcastle University
Lamine Mili
Lamine Mili Virginia Tech
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory

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