World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
11424
World Ranking
4487
National Ranking
1286

Maria Q. Feng 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 Maria Q. Feng 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: 216 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Maria Q. Feng 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 Maria Q. Feng 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: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Maria Q. Feng is affiliated with Columbia University in the United States and is active in the field of engineering, with a focus on civil and structural engineering. Their research contributions also extend to pollution, mechanics of materials, electrical and electronic engineering, and mechanical engineering.

The scientist's main research topics include structural health monitoring techniques, infrastructure maintenance and monitoring, smart materials for construction, concrete corrosion and durability, structural engineering and vibration analysis, ultrasonics and acoustic wave propagation, as well as advanced battery technologies research.

Recent papers authored or coauthored by Maria Q. Feng demonstrate a range of applications within structural monitoring and sensing. These include:

  • A computer vision-based method for bridge model updating using displacement influence lines, 2022, Engineering Structures
  • Application of Computer Vision for Estimation of Moving Vehicle Weight, 2020, IEEE Sensors Journal
  • Multi-output modal identification of landmark suspension bridges with distributed smartphone data: Golden Gate Bridge, 2020, Structural Control and Health Monitoring
  • A transfer learning SHM strategy for bridges enriched by the use of speaker recognition x-vectors, 2022, Journal of Civil Structural Health Monitoring
  • Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges, 2022, Sensors

Maria Q. Feng has collaborated frequently with several researchers, reflecting a networked approach to work in this domain. Notable coauthors include:

  • Eleonora M. Tronci
  • Luke B. Demo
  • Tymon B. Nieduzak
  • Venkat Aitharaju
  • Ekin Özer

The primary publication venues for their research include Structural Control and Health Monitoring, SSRN Electronic Journal, Engineering Structures, IEEE Sensors Journal, and the Journal of Civil Structural Health Monitoring.

Best Publications

  • Statistical Analysis of Fragility Curves

    Masanobu Shinozuka;M. Q. Feng;Jongheon Lee;Toshihiko Naganuma

  • Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review

    Dongming Feng;Maria Q. Feng

  • Nonlinear Static Procedure for Fragility Curve Development

    Masanobu Shinozuka;Maria Q. Feng;Ho-Kyung Kim;Sang-Hoon Kim

  • Stress-strain model for concrete confined by FRP composites

    Marwan N. Youssef;Maria Q. Feng;Ayman S. Mosallam

  • A Vision-Based Sensor for Noncontact Structural Displacement Measurement

    Dongming Feng;Maria Q. Feng;Ekin Ozer;Yoshio Fukuda

  • Experimental validation of cost-effective vision-based structural health monitoring

    Dongming Feng;Maria Q. Feng

  • Vibration Control of Tall Buildings Using Mega Subconfiguration

    Maria Q. Feng;Akira Mita

  • Vision-based multipoint displacement measurement for structural health monitoring

    Dongming Feng;Maria Q. Feng

  • Vision-Based Displacement Sensor for Monitoring Dynamic Response Using Robust Object Search Algorithm

    Yoshio Fukuda;Maria Q. Feng;Yuto Narita;Shun'ichi Kaneko

  • Cable tension force estimate using novel noncontact vision-based sensor

    Dongming Feng;Thomas Scarangello;Maria Q. Feng;Qi Ye

  • Long-Term Monitoring and Identification of Bridge Structural Parameters

    Serdar Soyoz;Maria Q. Feng

  • Cost-effective vision-based system for monitoring dynamic response of civil engineering structures

    Yoshio Fukuda;Maria Q. Feng;Masanobu Shinozuka

  • Application of Neural Networks for Estimation of Concrete Strength

    Jong-In Kim;Doo Kie Kim;Maria Q. Feng;Frank Yazdani

  • Model Updating of Railway Bridge Using In Situ Dynamic Displacement Measurement under Trainloads

    Dongming Feng;Maria Q. Feng

  • Nontarget Vision Sensor for Remote Measurement of Bridge Dynamic Response

    Maria Q. Feng;Yoshio Fukuda;Dongming Feng;Masato Mizuta

  • Fragility analysis of bridges under ground motion with spatial variation

    Sang-Hoon Kim;Maria Q. Feng

  • Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones

    Maria Q. Feng;Yoshio Fukuda;Masato Mizuta;Ekin Ozer

  • Robust vision sensor for multi-point displacement monitoring of bridges in the field

    Longxi Luo;Maria Q. Feng;Zheng Y. Wu

  • Use of Microwaves for Damage Detection of Fiber Reinforced Polymer-Wrapped Concrete Structures

    Maria Q. Feng;Franco De Flaviis;Yoo Jin Kim

  • Simultaneous identification of bridge structural parameters and vehicle loads

    Dongming Feng;Hao Sun;Maria Q. Feng

  • Friction‐Controllable Sliding Isolation System

    Maria Qing Feng;Masanobu Shinozuka;Shunji Fujii

  • STATISTICAL ANALYSIS OF FRAGILITY CURVES

    M Shinozuka;M Q Feng;H Y Kim;T Uzawa

Frequent Co-Authors

Masanobu Shinozuka
Masanobu Shinozuka Columbia University
Ayman Mosallam
Ayman Mosallam University of California, Irvine
Claudio Modena
Claudio Modena University of Padua
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Guann-Pyng Li
Guann-Pyng Li University of California, Irvine
Fumihito Arai
Fumihito Arai University of Tokyo
Jeong-Tae Kim
Jeong-Tae Kim Pukyong National University
F. De Flaviis
F. De Flaviis University of California, Irvine
Pai H. Chou
Pai H. Chou University of California, Irvine
Toshio Fukuda
Toshio Fukuda Nagoya University

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