World's Best Scientists 2026 revealed!
De-Cheng Feng

De-Cheng Feng

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
7533
World Ranking
4412
National Ranking
874

De-Cheng 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 De-Cheng 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: 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.

De-Cheng 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 De-Cheng 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Best Publications

  • Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

    De-Cheng Feng;Zhen-Tao Liu;Xiao-Dan Wang;Yin Chen

  • Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls

    De-Cheng Feng;Wen-Jie Wang;Sujith Mangalathu;Ertugrul Taciroglu

  • Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements

    De-Cheng Feng;Wen-Jie Wang;Sujith Mangalathu;Gang Hu

  • Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

    De-Cheng Feng;De-Cheng Feng;Zhen-Tao Liu;Xiao-Dan Wang;Zhong-Ming Jiang

  • Phase-field regularized cohesive zone model (CZM) and size effect of concrete

    De-Cheng Feng;Jian-Ying Wu

  • Data‐driven rapid damage evaluation for life‐cycle seismic assessment of regional reinforced concrete bridges

    Unknown

  • Finite element modelling approach for precast reinforced concrete beam-to-column connections under cyclic loading

    De-Cheng Feng;Gang Wu;Yong Lu

  • Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution method

    Unknown

  • Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems

    Sujith Mangalathu;Karthika Karthikeyan;De-Cheng Feng;Jong-Su Jeon

  • Seismic retrofitting of existing frame buildings through externally attached sub-structures: State of the art review and future perspectives

    Unknown

  • Experimental study on the flexural behavior of concrete beams reinforced with bundled hybrid steel/FRP bars

    Zeyang Sun;Linchen Fu;De-Cheng Feng;Apete R. Vatuloka

  • A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams

    Bo Fu;Bo Fu;De-Cheng Feng

  • Assessment of various seismic fragility analysis approaches for structures excited by non-stationary stochastic ground motions

    Unknown

  • Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application

    De-Cheng Feng;Barbaros Cetiner;Mohammad Reza Azadi Kakavand;Ertugrul Taciroglu

  • Progressive collapse performance analysis of precast reinforced concrete structures

    De-Cheng Feng;Zhun Wang;Gang Wu

  • Probabilistic failure analysis of reinforced concrete beam-column sub-assemblage under column removal scenario

    De-Cheng Feng;Si-Cong Xie;Wen-Ni Deng;Zhao-Dong Ding

  • Softened Damage-Plasticity Model for Analysis of Cracked Reinforced Concrete Structures

    De-Cheng Feng;Xiao-Dan Ren;Jie Li

  • Robustness quantification of reinforced concrete structures subjected to progressive collapse via the probability density evolution method

    De-Cheng Feng;Si-Cong Xie;Jun Xu;Kai Qian

  • Collapse simulation of reinforced concrete frame structures

    Decheng Feng;Decheng Feng;Chinmoy Kolay;James M. Ricles;Jie Li

  • Stochastic Nonlinear Behavior of Reinforced Concrete Frames. II: Numerical Simulation

    Decheng Feng;Jie Li

Frequent Co-Authors

Gang Wu
Gang Wu Southeast University
Yong Lu
Yong Lu University of Edinburgh
Jie Li
Jie Li Tongji University
Ertugrul Taciroglu
Ertugrul Taciroglu University of California, Los Angeles
Sujith Mangalathu
Sujith Mangalathu Georgia Institute of Technology
Halil Sezen
Halil Sezen The Ohio State University
Fulvio Parisi
Fulvio Parisi University of Naples Federico II
Emanuele Brunesi
Emanuele Brunesi European Centre for Training and Research in Earthquake Engineering
Yang Wei
Yang Wei Tianshui Normal University
Jong-Su Jeon
Jong-Su Jeon Hanyang University

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:

Best Scientists Citing De-Cheng Feng

Recently Published Articles