World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7752
World Ranking
5188
National Ranking
61

Tien Fang Fwa 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 Tien Fang Fwa 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: 283 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Tien Fang Fwa 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 Tien Fang Fwa 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: 46 D-Index — 49th percentile

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

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Composite material
  • Civil engineering

His main research concerns Geotechnical engineering, Operations research, Skid, Finite element method and Genetic algorithm. His biological study spans a wide range of topics, including Asphalt and Computer simulation. His Operations research study combines topics in areas such as Pavement management, Maintenance planning, Planned maintenance and Multi-objective optimization.

His work investigates the relationship between Skid and topics such as Aquaplaning that intersect with problems in Computational fluid dynamics. His Finite element method study deals with the bigger picture of Structural engineering. His work carried out in the field of Genetic algorithm brings together such families of science as Modulus, Pavement maintenance and Transport engineering.

His most cited work include:

  • Multiobjective Optimization for Pavement Maintenance Programming (96 citations)
  • GENETIC-ALGORITHM PROGRAMMING OF ROAD MAINTENANCE AND REHABILITATION (85 citations)
  • The Handbook of Highway Engineering (81 citations)

What are the main themes of his work throughout his whole career to date?

Tien Fang Fwa mainly focuses on Geotechnical engineering, Structural engineering, Transport engineering, Skid and Finite element method. The various areas that Tien Fang Fwa examines in his Geotechnical engineering study include Asphalt and Mathematical model. His work in the fields of Transport engineering, such as Pavement management, intersects with other areas such as Cost allocation.

His work is dedicated to discovering how Pavement management, Operations research are connected with Genetic algorithm and other disciplines. His research in Skid intersects with topics in Computational fluid dynamics, Aquaplaning and Civil engineering. His Finite element method research includes themes of Tread and Computer simulation.

He most often published in these fields:

  • Geotechnical engineering (23.83%)
  • Structural engineering (23.05%)
  • Transport engineering (19.14%)

What were the highlights of his more recent work (between 2016-2021)?

  • Skid (20.31%)
  • Asphalt (13.28%)
  • Finite element method (20.31%)

In recent papers he was focusing on the following fields of study:

Skid, Asphalt, Finite element method, Composite material and Structural engineering are his primary areas of study. His Skid research incorporates themes from Polishing and Geotechnical engineering. In his research, Porous asphalt and Porosity is intimately related to Noise, which falls under the overarching field of Geotechnical engineering.

His work deals with themes such as Mechanical engineering and Cooling time, which intersect with Asphalt. His study looks at the relationship between Finite element method and fields such as Thermal conductivity, as well as how they intersect with chemical problems. His Structural engineering research includes elements of Coefficient of friction and Geometric design.

Between 2016 and 2021, his most popular works were:

  • Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters (56 citations)
  • Evaluation of wearing course mix designs on sound absorption improvement of porous asphalt pavement (22 citations)
  • Effects of aggregate mineral surface anisotropy on asphalt-aggregate interfacial bonding using molecular dynamics (MD) simulation (15 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Composite material
  • Civil engineering

His scientific interests lie mostly in Porosity, Clogging, Porous asphalt, Aggregate and Traffic noise. His Clogging research encompasses a variety of disciplines, including Geotechnical engineering and Mix design. His Geotechnical engineering study combines topics from a wide range of disciplines, such as Asphalt and Noise.

Noise is closely attributed to Skid in his study. His biological study spans a wide range of topics, including Adhesion and Calcite. The various areas that Tien Fang Fwa examines in his Traffic noise study include Permeability, Gradation, Material properties and Civil engineering.

Best Publications

  • The Handbook of Highway Engineering

    T.F. Fwa

  • Multiobjective Optimization for Pavement Maintenance Programming

    T. F. Fwa;W. T. Chan;K. Z. Hoque

  • Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters

    Liye Zhang;Liye Zhang;Qiang Meng;Tien Fang Fwa

  • Road-maintenance planning using genetic algorithms. I: Formulation

    W. T. Chan;T. F. Fwa;C. Y. Tan

  • Wet-Pavement Hydroplaning Risk and Skid Resistance: Modeling

    Ghim Ping Ong;Ghim Ping Ong;T F Fwa;T F Fwa

  • SIMULTANEOUS OPTIMIZATION OF HORIZONTAL AND VERTICAL ALIGNMENTS FOR HIGHWAYS

    E.P. Chew;C.J. Goh;T.F. Fwa

  • FLEXURAL FATIGUE STRENGTH OF PLAIN CONCRETE

    X. P. Shi;T. F. Fwa;S. A. Tan

  • Molecular dynamics analysis of oxidative aging effects on thermodynamic and interfacial bonding properties of asphalt mixtures

    Lei Luo;Longjia Chu;T.F. Fwa;T.F. Fwa

  • GENETIC-ALGORITHM PROGRAMMING OF ROAD MAINTENANCE AND REHABILITATION

    T. F. Fwa;W. T. Chan;C. Y. Tan

  • Critical Rut Depth for Pavement Maintenance Based on Vehicle Skidding and Hydroplaning Consideration

    T. F. Fwa;H. R. Pasindu;G. P. Ong

  • ROAD-MAINTENANCE PLANNING USING GENETIC ALGORITHMS. II: ANALYSIS

    T. F. Fwa;C. Y. Tan;W. T. Chan

  • Effects of aggregate mineral surface anisotropy on asphalt-aggregate interfacial bonding using molecular dynamics (MD) simulation

    L. Chu;L. Luo;T.F. Fwa;T.F. Fwa

  • Molecular dynamics analysis of moisture effect on asphalt-aggregate adhesion considering anisotropic mineral surfaces

    Lei Luo;Longjia Chu;T.F. Fwa;T.F. Fwa

  • Wet-Pavement Hydroplaning Risk and Skid Resistance: Analysis

    T F Fwa;T F Fwa;Ghim Ping Ong;Ghim Ping Ong

  • An ANN model to correlate roughness and structural performance in asphalt pavements

    G. Sollazzo;T.F. Fwa;G. Bosurgi

  • Laboratory Evaluation of Clogging Potential of Porous Asphalt Mixtures

    T F Fwa;S A Tan;Y K Guwe

  • Skid resistance determination for pavement management and wet-weather road safety

    Unknown

  • Effect of Aggregate Spacing on Skid Resistance of Asphalt Pavement

    T. F. Fwa;Y. S. Choo;Yurong Liu

  • Wavelet Analysis and Interpretation of Road Roughness

    Liu Wei;T. F. Fwa;Zhao Zhe

  • Clogging Evaluation of Permeable Bases

    Siew-Ann Tan;Tien-Fang Fwa;Chong-Teng Han

  • PRIORITY RATING OF HIGHWAY MAINTENANCE NEEDS BY NEURAL NETWORKS

    T. F. Fwa;W. T. Chan

  • Discrete and continuous models for computation of optimal vertical highway alignment

    C.J. Goh;E.P. Chew;T.F. Fwa

Frequent Co-Authors

Kumares C. Sinha
Kumares C. Sinha Purdue University West Lafayette
B.W. Ang
B.W. Ang National University of Singapore
Yoo Sang Choo
Yoo Sang Choo National University of Singapore
Ruey Long Cheu
Ruey Long Cheu The University of Texas at El Paso
Qiang Meng
Qiang Meng National University of Singapore
Ek Peng Chew
Ek Peng Chew National University of Singapore
Der-Horng Lee
Der-Horng Lee Zhejiang University
Thong Ngee Goh
Thong Ngee Goh National University of Singapore

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