World's Best Scientists 2026 revealed!
Chung Bang Yun

Chung Bang Yun

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
7216
World Ranking
1720
National Ranking
210

Chung Bang Yun publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Chung Bang Yun sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 213 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Chung Bang Yun D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chung Bang Yun sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 43 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Best Publications

  • Multiple Crack Detection of Concrete Structures Using Impedance-based Structural Health Monitoring Techniques

    S Park;S Ahmad;Chung Bang Yun;Y Roh

  • Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors

    Jerome Peter Lynch;Yang Wang;Kenneth J. Loh;Jin-Hak Yi

  • Substructural identification using neural networks

    Chung-Bang Yun;Eun Young Bahng

  • PZT-based active damage detection techniques for steel bridge components

    Seunghee Park;Chung-Bang Yun;Yongrae Roh;Jong-Jae Lee

  • Identification of Nonlinear Structural Dynamic Systems

    Chung-Bang Yun;Masanobu Shinozuka

  • Electro-Mechanical Impedance-Based Wireless Structural Health Monitoring Using PCA-Data Compression and k-means Clustering Algorithms:

    Seunghee Park;Jong-Jae Lee;Chung-Bang Yun;Daniel J. Inman

  • Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity

    Jiyoung Min;Seunghee Park;Chung-Bang Yun;Chang-Geun Lee

  • HEALTH-MONITORING METHOD FOR BRIDGES UNDER ORDINARY TRAFFIC LOADINGS

    JW Lee;JD Kim;Chung Bang Yun;JH Yi

  • Identification of Linear Structural Dynamic Systems

    Masanobu Shinozuka;Chung-Bang Yun;Hiroyuki Imai

  • Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

    Soojin Cho;Hongki Jo;Shinae Jang;Jongwoong Park

  • Automated Impedance-based Structural Health Monitoring Incorporating Effective Frequency Shift for Compensating Temperature Effects

    Ki-Young Koo;Seunghee Park;Jong-Jae Lee;Chung Bang Yun

  • Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures

    Jong Jae Lee;Yoshio Fukuda;Masanobu Shinozuka;Soojin Cho

  • Comparative study on modal identification methods using output-only information

    Jin-Hak Yi;Chung-Bang Yun

  • Identification of prestress-loss in PSC beams using modal information

    Jeong-Tae Kim;Chung-Bang Yun;Yeon-Sun Ryu;Hyun-Man Cho

  • Joint damage assessment of framed structures using a neural networks technique

    Chung-Bang Yun;Jin-Hak Yi;Eun Young Bahng

  • Stochastic methods in wind engineering

    Masanobu Shinozuka;C.-B. Yun;H. Seya

  • Fundamentals of system identification in structural dynamics

    H. Imai;C.-B. Yun;O. Maruyama;M. Shinozuka

  • Comparative Field Study of Cable Tension Measurement for a Cable-Stayed Bridge

    Soojin Cho;Jinsuk Yim;Sung Woo Shin;Hyung-Jo Jung

  • Shaking table and pseudodynamic tests for the evaluation of the seismic performance of base-isolated structures

    Woo-Jung Chung;Chung-Bang Yun;Nam-Sik Kim;Ju-Won Seo

  • Health monitoring of steel structures using impedance of thickness modes at PZT patches

    Seunghee Park;Chung-Bang Yun;Yongrae Roh;Jong-Jae Lee

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Students pursuing Mechanical and Aerospace Engineering often explore related fields to broaden their career options. For instance, accelerated ABA program options cater to those interested in applied behavior analysis, offering a fast track to specialized expertise. Understanding admission difficulties is crucial, as seen in fields like speech-language pathology (SLP), where knowing the slp acceptance rate helps applicants gauge competitiveness and prepare effectively.

For those who wish to transition into healthcare communication, exploring communication sciences and disorders programs provides valuable insights and alternative career paths. These programs often have varied entry requirements, and students should research thoroughly to find the best fit. Cost considerations are equally important—comparing program affordability can be challenging, but resources outlining how much does an online speech pathology degree cost can guide budget-conscious learners.

Whether shifting focus or complementing engineering skills, knowledge of these related online degrees and pathways helps students make informed decisions. Linking to reliable sources and understanding program demands ultimately supports career growth in diverse STEM and healthcare fields.

Best Scientists Citing Chung Bang Yun

Recently Published Articles