World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
69
Citations
14599
World Ranking
332
National Ranking
24

Engineering and Technology

D-Index
72
Citations
15901
World Ranking
933
National Ranking
172

S. Thomas Ng publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where S. Thomas Ng sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 115 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 333 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

S. Thomas Ng D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where S. Thomas Ng sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 67 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 69 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

S. Thomas Ng is affiliated with City University of Hong Kong in China. Their research is situated primarily within the field of Engineering, with a particular focus on subfields including Building and Construction, Civil and Structural Engineering, Strategy and Management, Transportation, and Industrial and Manufacturing Engineering.

The scientist has contributed extensively to topics such as Sustainable Building Design and Assessment, Recycled Aggregate Concrete Performance, Sustainable Supply Chain Management, Concrete and Cement Materials Research, BIM and Construction Integration, Environmental Impact and Sustainability, and Building Energy and Comfort Optimization.

Key publication venues where S. Thomas Ng has frequently published include:

  • Journal of Cleaner Production
  • Journal of Building Engineering
  • Developments in the Built Environment
  • SSRN Electronic Journal
  • Renewable and Sustainable Energy Reviews

Among their recent papers are:

  • "Circular economy and the construction industry: Existing trends, challenges and prospective framework for sustainable construction" (2020), published in Renewable and Sustainable Energy Reviews
  • "BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures - A case of stormwater drainage-building-road transport Nexus in urban flooding" (2021), published in Automation in Construction
  • "Evaluating the environmental impacts of stabilization and solidification technologies for managing hazardous wastes through life cycle assessment: A case study of Hong Kong" (2020), published in Environment International
  • "Sustainable natural pozzolana concrete - A comparative study on its environmental performance against concretes with other industrial by-products" (2020), published in Construction and Building Materials
  • "Developing an integrative framework for digital twin applications in the building construction industry: A systematic literature review" (2024), published in Advanced Engineering Informatics

Frequent coauthors collaborating with S. Thomas Ng include:

  • Md. Uzzal Hossain
  • Prince Antwi-Afari
  • Guanying Huang
  • Dezhi Li
  • Ji Chen

Best Publications

  • Prefabricated construction enabled by the Internet-of-Things

    Ray Y. Zhong;Ray Y. Zhong;Yi Peng;Yi Peng;Fan Xue;Ji Fang

  • Behavioral aspects in construction partnering

    Sai-On Cheung;Thomas S.T Ng;Shek-Pui Wong;Henry C.H Suen

  • Generalized multiuser orthogonal space-division multiplexing

    Zhengang Pan;Kai-Kit Wong;Tung-Sang Ng

  • Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization

    Daisy X. M. Zheng;S. Thomas Ng;Mohan M. Kumaraswamy

  • Circular economy and the construction industry: Existing trends, challenges and prospective framework for sustainable construction

    Md. Uzzal Hossain;S. Thomas Ng;Prince Antwi-Afari;Ben Amor

  • Problematic issues associated with project partnering — the contractor perspective

    S.Thomas Ng;Timothy M. Rose;Michael Mak;Swee Eng Chen

  • Sustainability appraisal in infrastructure projects (SUSAIP). Part 1. Development of indicators and computational methods

    O.O. Ugwu;M.M. Kumaraswamy;A. Wong;S.T. Ng

  • A framework for evaluating the safety performance of construction contractors

    S. Thomas Ng;Kam Pong Cheng;R. Martin Skitmore

  • Factors influencing the success of PPP at feasibility stage – A tripartite comparison study in Hong Kong

    S. Thomas Ng;Yoki M.W. Wong;James M.W. Wong

  • Evaluating stakeholder satisfaction during public participation in major infrastructure and construction projects: A fuzzy approach

    Terry H.Y. Li;S. Thomas Ng;Martin Skitmore

  • Reducing building life cycle carbon emissions through prefabrication: Evidence from and gaps in empirical studies

    Yue Teng;Kaijian Li;Wei Pan;Thomas Ng

  • Gradient-based adaptive IIR notch filtering for frequency estimation

    J.F. Chicharo;T.S. Ng

  • Conflict or consensus: An investigation of stakeholder concerns during the participation process of major infrastructure and construction projects in Hong Kong

    Terry H.Y. Li;S. Thomas Ng;Martin Skitmore

  • A simulation model for optimizing the concession period of public-private partnerships schemes

    S. Thomas Ng;Jingzhu Xie;Yau Kai Cheung;Marcus Jefferies

  • Demotivating factors influencing the productivity of civil engineering projects

    S.Thomas Ng;R.Martin Skitmore;Ka Chi Lam;Anthony W.C. Poon

  • A semi-blind channel estimation method for multiuser multiantenna OFDM systems

    Yonghong Zeng;Tung-Sang Ng

  • Forecast models for actual construction time and cost

    R Martin Skitmore;S Thomas Ng

  • A life cycle assessment model for evaluating the environmental impacts of building construction in Hong Kong

    Ya Hong Dong;S. Thomas Ng

  • Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization

    Daisy X. M. Zheng;S. Thomas Ng;Mohan M. Kumaraswamy

  • Public participation in infrastructure and construction projects in China: From an EIA-based to a whole-cycle process

    Terry H.Y. Li;S. Thomas Ng;Martin Skitmore

  • Optimizing Construction Time and Cost Using Ant Colony Optimization Approach

    S. Thomas Ng;Yanshuai Zhang

  • Formulating Procurement Selection Criteria through Case-Based Reasoning Approach

    Duc Thanh Luu;S. Thomas Ng;Swee Eng Chen

  • Measuring construction project participant satisfaction

    Mei‐Yung Leung;S. Thomas Ng;Sai‐On Cheung

  • Critical consideration of buildings' environmental impact assessment towards adoption of circular economy: An analytical review

    Md. Uzzal Hossain;S. Thomas Ng

  • A fuzzy neural network approach for contractor prequalification

    K. C. Lam;Tiesong Hu;S. Thomas Ng;Martin Skitmore

Frequent Co-Authors

Martin Skitmore
Martin Skitmore Bond University
Mohan M. Kumaraswamy
Mohan M. Kumaraswamy University of Hong Kong
Sai On Cheung
Sai On Cheung City University of Hong Kong
Mei-yung Leung
Mei-yung Leung City University of Hong Kong
Albert P.C. Chan
Albert P.C. Chan Hong Kong Polytechnic University
Xiaoling Zhang
Xiaoling Zhang University of Hong Kong
Godfried Augenbroe
Godfried Augenbroe Georgia Institute of Technology
Ray Y. Zhong
Ray Y. Zhong University of Hong Kong
Patrick T.I. Lam
Patrick T.I. Lam Hong Kong Polytechnic University
Dongxing Xuan
Dongxing Xuan Hong Kong Polytechnic University

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