Kang Hai Tan

15.2k total citations · 2 hit papers
409 papers, 12.1k citations indexed

About

Kang Hai Tan is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Kang Hai Tan has authored 409 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 358 papers in Civil and Structural Engineering, 213 papers in Building and Construction and 75 papers in Materials Chemistry. Recurrent topics in Kang Hai Tan's work include Structural Behavior of Reinforced Concrete (205 papers), Fire effects on concrete materials (171 papers) and Structural Response to Dynamic Loads (154 papers). Kang Hai Tan is often cited by papers focused on Structural Behavior of Reinforced Concrete (205 papers), Fire effects on concrete materials (171 papers) and Structural Response to Dynamic Loads (154 papers). Kang Hai Tan collaborates with scholars based in Singapore, China and Vietnam. Kang Hai Tan's co-authors include Jun Yu, En‐Hua Yang, Bo Yang, Ye Li, Shao‐Bo Kang, Mukund Lahoti, Dong Zhang, Jincheng Liu, T. C. Fung and Anh Tuấn Phạm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Bioresource Technology.

In The Last Decade

Kang Hai Tan

389 papers receiving 11.5k citations

Hit Papers

Experimental and numerical investigation on progressive c... 2011 2026 2016 2021 2011 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kang Hai Tan Singapore 60 10.7k 6.1k 2.6k 627 606 409 12.1k
Venkatesh Kodur United States 66 12.7k 1.2× 7.2k 1.2× 729 0.3× 2.4k 3.8× 640 1.1× 340 13.8k
A.K.H. Kwan Hong Kong 63 10.3k 1.0× 7.0k 1.1× 1.2k 0.5× 108 0.2× 936 1.5× 285 11.5k
Zhongxian Li China 48 6.5k 0.6× 2.6k 0.4× 1.3k 0.5× 68 0.1× 537 0.9× 315 7.9k
J.Y. Richard Liew Singapore 59 9.4k 0.9× 6.3k 1.0× 866 0.3× 208 0.3× 1.2k 1.9× 289 10.2k
Erik Schlangen Netherlands 69 12.2k 1.1× 4.0k 0.7× 2.0k 0.7× 158 0.3× 2.4k 4.0× 366 16.3k
Hao Wu China 38 3.9k 0.4× 1.3k 0.2× 2.7k 1.0× 120 0.2× 1.4k 2.4× 264 5.2k
Klaas van Breugel Netherlands 44 6.8k 0.6× 1.8k 0.3× 1.3k 0.5× 59 0.1× 842 1.4× 236 7.8k
S. K. Bhattacharyya India 38 4.7k 0.4× 2.5k 0.4× 1.2k 0.5× 209 0.3× 503 0.8× 150 6.7k
Zhong Tao China 63 13.0k 1.2× 10.9k 1.8× 1.0k 0.4× 62 0.1× 631 1.0× 307 14.8k
Antonio Nanni United States 64 14.9k 1.4× 12.7k 2.1× 778 0.3× 47 0.1× 857 1.4× 510 15.9k

Countries citing papers authored by Kang Hai Tan

Since Specialization
Citations

This map shows the geographic impact of Kang Hai Tan'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 Kang Hai Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Hai Tan more than expected).

Fields of papers citing papers by Kang Hai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang Hai Tan. 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 Kang Hai Tan. The network helps show where Kang Hai Tan may publish in the future.

Co-authorship network of co-authors of Kang Hai Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Hai Tan. A scholar is included among the top collaborators of Kang Hai Tan 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 Kang Hai Tan. Kang Hai Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hirata, Mayuko, et al.. (2025). Synergistic impact of temperature and pore saturation on corrosion in carbonated reinforced concrete. Case Studies in Construction Materials. 22. e04364–e04364. 2 indexed citations
3.
Tan, Kang Hai, et al.. (2025). Heat transfer analysis of premixed low calorific value landfill gas impinging flame under oxygen and hydrogen enrichment. Results in Engineering. 25. 104118–104118. 3 indexed citations
4.
Tan, Kang Hai, et al.. (2024). Cyclic performance of precast steel beam-to-CECFST column exterior sub-assemblages with dry connections: Experimental studies and mechanism analyses. Engineering Structures. 315. 118410–118410. 7 indexed citations
5.
Tran, Ha Manh & Kang Hai Tan. (2024). Structural behaviour of post-tensioned precast concrete sub-structures under an edge column removal scenario. Engineering Structures. 316. 118532–118532. 3 indexed citations
6.
Li, Ye, et al.. (2024). Microstructure-informed deep learning model for accurate prediction of multiple concrete properties. Journal of Building Engineering. 98. 111339–111339. 6 indexed citations
7.
Tan, Kang Hai, et al.. (2024). Experimental study of ultra-high-performance fibre-reinforced concrete (UHPFRC)-encased CFST short columns under axial and eccentric compression. Engineering Structures. 316. 118452–118452. 9 indexed citations
8.
Li, Chang, et al.. (2024). Methane hydrate formation promoted by eco-friendly hydrogels carrying with trace SDS. Fuel. 380. 133107–133107. 8 indexed citations
9.
Tan, Kang Hai, et al.. (2024). Analytical model of compressive arch action for one-way RC beams and two-way framed substructures under column removal scenarios. Engineering Structures. 304. 117694–117694. 2 indexed citations
10.
Tan, Kang Hai, et al.. (2024). Eccentric compression performance of jointed precast concrete-encased concrete-filled steel tube columns with dry connections. Engineering Structures. 321. 118923–118923. 4 indexed citations
11.
Tan, Kang Hai, et al.. (2024). Non-uniform distribution model of rust layer around steel bar circumference and its effect on corrosion-induced concrete cracking. Structures. 68. 107132–107132. 4 indexed citations
12.
Tan, Kang Hai, et al.. (2023). Experimental and numerical study on performance of precast concrete wet and dry joints under progressive collapse scenario. Journal of Building Engineering. 74. 106739–106739. 15 indexed citations
13.
Wang, Fengqin, Faqi Liu, Kang Hai Tan, Hua Yang, & Kang Peng. (2023). Post-fire performance of circular steel tube confined steel-reinforced concrete slender columns: Testing, simulation and design. Engineering Structures. 298. 117084–117084. 14 indexed citations
14.
Tran, Ha Manh & Kang Hai Tan. (2023). Load-carrying mechanisms of 3D post-tensioned precast concrete sub-structure under internal column removal scenario. Engineering Structures. 300. 117156–117156.
15.
Tan, Kang Hai, Yunxing Du, Jie Su, et al.. (2023). Comparison of axial behavior of RC columns using alkali-activated slag-based concrete and OPC concrete during and after fire. Journal of Building Engineering. 77. 107444–107444. 3 indexed citations
16.
Fung, T. C., et al.. (2023). Numerical and experimental study on structural behavior of restrained CHS T-joints in transient fire tests. Structures. 48. 511–522. 4 indexed citations
17.
18.
Long, Xu, Kang Hai Tan, & C.K. Lee. (2013). Analytical Model on the Bond Stress-Slip Relationship between Steel Reinforcement and Concrete for RC Beam-Column Joints. Applied Mechanics and Materials. 275-277. 1212–1218. 2 indexed citations
19.
Tan, Kang Hai, et al.. (1997). HIGH STRENGTH CONCRETE DEEP BEAMS SUBJECTED TO COMBINED TOP- AND BOTTOM-LOADING. The Structural engineer. 75(11). 5 indexed citations
20.
Ong, K. C. G., et al.. (1990). Long-Span Precast Ferrocement Sunscreens in Public Housing. ACI Concrete International. 12(9). 33–36. 2 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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