Chee Khoon Ng

705 total citations · 1 hit paper
32 papers, 564 citations indexed

About

Chee Khoon Ng is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanical Engineering. According to data from OpenAlex, Chee Khoon Ng has authored 32 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 17 papers in Building and Construction and 5 papers in Mechanical Engineering. Recurrent topics in Chee Khoon Ng's work include Structural Behavior of Reinforced Concrete (13 papers), Innovative concrete reinforcement materials (11 papers) and Structural Load-Bearing Analysis (6 papers). Chee Khoon Ng is often cited by papers focused on Structural Behavior of Reinforced Concrete (13 papers), Innovative concrete reinforcement materials (11 papers) and Structural Load-Bearing Analysis (6 papers). Chee Khoon Ng collaborates with scholars based in Malaysia, Singapore and Hong Kong. Chee Khoon Ng's co-authors include D.C.L. Teo, Kiang‐Hwee Tan, Kiang Hwee Tan, Kai Meng Tay, Kang Hai Tan, Ahmad Tarmizi Abdul Karim, N. S. V. Kameswara Rao, Koh Heng Boon, K. P. Chow and Ahmad Beng Hong Kueh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Engineering Structures.

In The Last Decade

Chee Khoon Ng

30 papers receiving 523 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Application of polyvinyl alcohol (PVA) in cement-based composite materials: A review of its engineering properties and microstructure behavior

2016 252 citations D.C.L. Teo, Chee Khoon Ng et al. profile →

Peers

Chee Khoon Ng

CSE

BC

MC

BIOMA

PP

Temitope Funmilayo Awolusi Nigeria

N. Subramanian India

Ali Alsalman United States

Roman Timokhin Russia

Kamal Kishore India

Andrei Chernil’nik Russia

O.O. Akinkurolere Nigeria

Yingda Zhang China

Yanni Bouras Australia

Nelson Maureira-Carsalade Chile

Temitope Funmilayo Awolusi Nigeria

Chee Khoon Ng

419 ×1.0

CSE

330 ×1.1

BC

59 ×1.1

MC

17 ×0.3

BIOMA

80 ×1.6

PP

Citations per year, relative to Chee Khoon Ng Chee Khoon Ng (= 1×) peers Temitope Funmilayo Awolusi

Countries citing papers authored by Chee Khoon Ng

Since Specialization

Citations

This map shows the geographic impact of Chee Khoon Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chee Khoon Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Khoon Ng more than expected).

Fields of papers citing papers by Chee Khoon Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Khoon Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chee Khoon Ng. The network helps show where Chee Khoon Ng may publish in the future.

Co-authorship network of co-authors of Chee Khoon Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Khoon Ng. A scholar is included among the top collaborators of Chee Khoon Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chee Khoon Ng. Chee Khoon Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kueh, Ahmad Beng Hong, et al.. (2025). Data-driven artificial neural network formulated multi-factored expression for predicting construction duration in government projects. Engineering Construction & Architectural Management. 1 indexed citations

2.

Lee, Yee Yong, et al.. (2024). Mechanical Properties of Virgin and Recycled Polymer for Construction Pile Application. Pertanika journal of science & technology. 32(2). 819–838. 1 indexed citations

3.

Ng, Chee Khoon, et al.. (2022). Prediction of HFRC compressive strength using HS-based SIRMs connected fuzzy inference system. Physics and Chemistry of the Earth Parts A/B/C. 128. 103275–103275. 1 indexed citations

4.

Ng, Chee Khoon, et al.. (2018). Monotonicity preserving SIRMs-connected fuzzy inference system for predicting HPC compressive strength. Intelligent Decision Technologies. 12(3). 293–302.

5.

Ng, Chee Khoon, et al.. (2016). Structural Performance of Precast Floor Panel Using Oil Palm Shell Solid Waste. Journal of Infrastructure Systems. 22(4). 2 indexed citations

6.

Ng, Chee Khoon, et al.. (2015). Data-driven SIRMs-connected FIS for prediction of external tendon stress. Computers and Concrete, an International Journal. 15(1). 55–71. 2 indexed citations

7.

Teo, D.C.L., et al.. (2015). Chloride Penetration Profile of Polyvinyl Alcohol (PVA) Treated Oil Palm Shell (OPS) Concrete. 5. 1129–1136. 1 indexed citations

8.

Teo, D.C.L., et al.. (2014). The Effect of Polyvinyl Alcohol (PVA) on the Mix Proportion of Oil Palm Shell (OPS) Concrete. Applied Mechanics and Materials. 695. 297–300. 3 indexed citations

9.

Ng, Chee Khoon, et al.. (2012). Analytical Model for RC Beams with Externally Bonded Laminates Using Strut-and-Tie Method. Advanced materials research. 446-449. 3218–3228. 1 indexed citations

10.

Tay, Kai Meng, et al.. (2011). Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(9). 1203–1210. 5 indexed citations

11.

Ng, Chee Khoon, et al.. (2011). Precast c-channel floor for rural and estate housings. 2 indexed citations

12.

Boon, Koh Heng, et al.. (2010). CO2 uptake model of biomass silica foamed concrete. International Journal of Integrated Engineering. 2(2). 3 indexed citations

13.

Ng, Chee Khoon, et al.. (2008). Theoretical Evaluation on Effects of Opening on Ultimate Load-carrying Capacity of Square Slabs. Electronic Journal of Structural Engineering. 8. 12–19. 2 indexed citations

14.

Ng, Chee Khoon & Kang Hai Tan. (2006). FLEXURAL BEHAVIOUR OF EXTERNALLY PRESTRESSED BEAMS. 28. 609–621. 5 indexed citations

15.

Ng, Chee Khoon & Kiang Hwee Tan. (2005). Flexural behaviour of externally prestressed beams. Part I: Analytical model. Engineering Structures. 28(4). 609–621. 33 indexed citations

16.

Ng, Chee Khoon & Kiang Hwee Tan. (2005). Flexural behaviour of externally prestressed beams. Part II: Experimental investigation. Engineering Structures. 28(4). 622–633. 26 indexed citations

17.

Ng, Chee Khoon & K. P. Chow. (2003). An expert system for diagnosis of electronic equipment using structural model and trouble-shooting heuristics. 669–673.

18.

Ng, Chee Khoon, et al.. (2001). Behavior of Simple-Span Reinforced Concrete Beams Locally Strengthened with External Tendons. ACI Structural Journal. 98(2). 15 indexed citations

19.

Ng, Chee Khoon, et al.. (1998). EFFECT OF SHEAR IN EXTERNALLY PRESTRESSED BEAMS. ACI Structural Journal. 95(2). e15140–e15140. 5 indexed citations

20.

Tan, Kiang‐Hwee & Chee Khoon Ng. (1998). Effect of Shear in Externally Prestressed Beams. ACI Structural Journal. 95(2). 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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