Tim Tse

200 papers receiving 5.4k citations

Peers

Tim Tse
Comparison fields: 5 of 89
  • Environmental Engineering 2.2k
  • Computational Mechanics 1.2k
  • Building and Construction 638
  • Civil and Structural Engineering 902
  • Statistical and Nonlinear Physics 404
Replace Girma Bitsuamlak with:
Girma Bitsuamlak Canada
Akashi Mochida Japan
Ryozo Ooka Japan
Qingshan Yang China
Gang Hu China
Yukio Tamura Japan
Ming Gu China
Yongle Li China
Liangzhu Leon Wang Canada
Tim Tse relative to Girma Bitsuamlak Canada Girma Bitsuamlak's profile →
Citations per field
00.5×5×10×12.6×
Girma Bitsuamlak · 1×
Citations per year

Countries citing papers authored by Tim Tse

Since Specialization
Citations

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

Fields of papers citing papers by Tim Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Tse. 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 Tim Tse. The network helps show where Tim Tse may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Tse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Tse Line = papers co-authored together Tim Tse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018184
2 2020160
3 2018141
4 2020135
5 2016128
6 2017119
7 2009111
8 2019108
9 2016104
10 2020101
11 201794
12 201790
13 201785
14 201985
15 202282
16 201773
17 202171
18 202167
19 201566
20 202066

About Tim Tse

Tim Tse is a scholar working on Environmental Engineering, Computational Mechanics, Civil and Structural Engineering, Statistical and Nonlinear Physics and Building and Construction, having authored 210 papers that have together received 5.6k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (92 papers), Fluid Dynamics and Vibration Analysis (55 papers), Seismic and Structural Analysis of Tall Buildings (23 papers), Model Reduction and Neural Networks (20 papers), Building Energy and Comfort Optimization (8 papers), Tropical and Extratropical Cyclones Research (7 papers), Structural Health Monitoring Techniques (6 papers) and Wind Energy Research and Development (4 papers). The work is most often cited by research in Environmental Engineering (2.2k citations), Computational Mechanics (1.2k citations), Building and Construction (638 citations), Civil and Structural Engineering (902 citations) and Statistical and Nonlinear Physics (404 citations). Tim Tse has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Kenny C.S. Kwok, Gang Hu, A.U. Weerasuriya, Xuelin Zhang, Zengshun Chen, Chun Man Chan, Cruz Y. Li, Jack C.P. Cheng, Irene M.C. Lo and Vincent J.L. Gan. Their work appears in journals such as Journal of Wind Engineering and Industrial Aerodynamics, Physics of Fluids, Building and Environment, Wind and Structures and Engineering Structures.

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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