World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
6869
World Ranking
6216
National Ranking
168

Junho Song publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Junho Song sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 198 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Junho Song D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Junho Song sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Junho Song is affiliated with Seoul National University in South Korea and specializes in engineering research, particularly within the fields of civil and structural engineering, electrical and electronic engineering, statistics, probability and uncertainty, materials chemistry, and mechanical engineering.

Their work spans a variety of topics, including:

  • Structural Health Monitoring Techniques
  • Seismic Performance and Analysis
  • Probabilistic and Robust Engineering Design
  • Advancements in Battery Materials
  • Advanced Battery Technologies Research
  • Advanced Battery Materials and Technologies
  • Risk and Safety Analysis

Junho Song has published research in multiple scholarly venues. The most frequent publication outlets include:

  • Earthquake Engineering & Structural Dynamics
  • Structural Safety
  • arXiv (Cornell University)
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • SSRN Electronic Journal

Some of their recent papers are:

  • Structural System Reliability: Overview of Theories and Applications to Optimization, 2021, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Probabilistic evaluation of seismic responses using deep learning method, 2020, Structural Safety
  • Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis, 2020, Structural Safety
  • Pre- and post-earthquake regional loss assessment using deep learning, 2020, Earthquake Engineering & Structural Dynamics
  • Surface Work Function-Induced Thermally Vulnerable Solid Electrolyte Interphase Formation on the Negative Electrode for Lithium-Ion Batteries, 2023, Advanced Energy Materials

Their collaborative network includes frequent coauthors such as:

  • Hyun-seung Kim
  • Oh-Sung Kwon
  • Ji-Sang Yu
  • Taeyong Kim
  • Kyoungmin Min

Best Publications

  • Improved electrochemical and thermal properties of nickel rich LiNi 0.6 Co 0.2 Mn 0.2 O 2 cathode materials by SiO 2 coating

    Woosuk Cho;Sang-Min Kim;Jun Ho Song;Taeeun Yim

  • Generalized Bouc-Wen model for highly asymmetric hysteresis

    Junho Song;Junho Song;Armen Der Kiureghian;Armen Der Kiureghian

  • Bounds on System Reliability by Linear Programming

    Junho Song;Armen Der Kiureghian

  • System reliability and sensitivity under statistical dependence by matrix-based system reliability method

    Junho Song;Won-Hee Kang

  • Matrix-based system reliability method and applications to bridge networks

    Won Hee Kang;Junho Song;Paolo Gardoni

  • A computational paradigm for multiresolution topology optimization (MTOP)

    Tam H. Nguyen;Glaucio H. Paulino;Junho Song;Chau H. Le

  • Cross-Entropy-Based Adaptive Importance Sampling Using Gaussian Mixture

    Nolan Kurtz;Junho Song

  • Development of a high-performance anode for lithium ion batteries using novel ordered mesoporous tungsten oxide materials with high electrical conductivity.

    Songhun Yoon;Changshin Jo;Soon Young Noh;Chul Wee Lee

  • Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis

    Ziqi Wang;Marco Broccardo;Junho Song

  • Joint shear behaviour of reinforced concrete beam-column connections

    J. Kim;J. M. LaFave;J. Song

  • Multi-scale reliability analysis and updating of complex systems by use of linear programming

    Armen Der Kiureghian;Junho Song

  • Post-hazard flow capacity of bridge transportation network considering structural deterioration of bridges

    Young Joo Lee;J. Song;P. Gardoni;H. W. Lim

  • Cross-entropy-based adaptive importance sampling using von Mises-Fisher mixture for high dimensional reliability analysis

    Ziqi Wang;Junho Song

  • Optimal design of hysteretic dampers connecting adjacent structures using multi-objective genetic algorithm and stochastic linearization method

    Seung-Yong Ok;Junho Song;Kwan-Soon Park

  • Availability, reliability and downtime of systems with repairable components

    Armen Der Kiureghian;Ove Dalager Ditlevsen;J. Song

  • Single-loop system reliability-based topology optimization considering statistical dependence between limit-states

    Tam H. Nguyen;Junho Song;Glaucio H. Paulino

  • Multi-scale system reliability analysis of lifeline networks under earthquake hazards

    Junho Song;Seung-Yong Ok

  • Response prediction of nonlinear hysteretic systems by deep neural networks

    Taeyong Kim;Oh-Sung Kwon;Junho Song

  • Evaluation of multivariate normal integrals for general systems by sequential compounding

    Won-Hee Kang;Junho Song

  • Parameterized Seismic Fragility Curves for Curved Multi-frame Concrete Box-Girder Bridges Using Bayesian Parameter Estimation

    Jong-Su Jeon;Sujith Mangalathu;Junho Song;Reginald Desroches

  • Improving multiresolution topology optimization via multiple discretizations

    Tam H. Nguyen;Glaucio H. Paulino;Junho Song;Chau H. Le

  • Joint First-Passage Probability and Reliability of Systems under Stochastic Excitation

    Junho Song;Armen Der Kiureghian

Frequent Co-Authors

Glaucio H. Paulino
Glaucio H. Paulino Princeton University
Armen Der Kiureghian
Armen Der Kiureghian University of California, Berkeley
Jerome F. Hajjar
Jerome F. Hajjar Northeastern University
Taeeun Yim
Taeeun Yim Incheon National University
Paolo Gardoni
Paolo Gardoni University of Illinois at Urbana-Champaign
Larry A. Fahnestock
Larry A. Fahnestock University of Illinois at Urbana-Champaign
Amr S. Elnashai
Amr S. Elnashai University of Houston
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Daniel Straub
Daniel Straub Technical University of Munich
Hyun-Joong Kim
Hyun-Joong Kim Seoul National University

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