Tso‐Ren Wu

65 papers receiving 1.5k citations

Peers

Tso‐Ren Wu
Comparison fields: 5 of 60
  • Earth-Surface Processes 578
  • Geophysics 457
  • Computational Mechanics 521
  • Atmospheric Science 408
  • Oceanography 263
Replace Stéphane Abadie with:
Stéphane Abadie France
Zhenhua Huang United States
Giorgio Bellotti Italy
Riccardo Briganti United Kingdom
Alberto Lamberti Italy
Shih‐Chun Hsiao Taiwan
Pablo Higuera Singapore
Tsutomu Sakakiyama Japan
William Rodi United States
Valentin Heller United Kingdom
Tso‐Ren Wu relative to Stéphane Abadie France Stéphane Abadie's profile →
Citations per field
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Stéphane Abadie · 1×
Citations per year

Countries citing papers authored by Tso‐Ren Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tso‐Ren Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tso‐Ren Wu. 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 Tso‐Ren Wu. The network helps show where Tso‐Ren Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Tso‐Ren Wu, 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 Tso‐Ren Wu Line = papers co-authored together Tso‐Ren Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002308
2 2005218
3 2014132
4 2008105
5 201883
6 200965
7 201360
8 201258
9 201749
10 201441
11 201628
12 200828
13 201523
14 201421
15 202019
16 201819
17 201417
18 201516
19 202016
20 201216

About Tso‐Ren Wu

Tso‐Ren Wu is a scholar working on Earth-Surface Processes, Atmospheric Science, Computational Mechanics, Geophysics and Civil and Structural Engineering, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include earthquake and tectonic studies (20 papers), Tropical and Extratropical Cyclones Research (20 papers), Coastal and Marine Dynamics (19 papers), Ocean Waves and Remote Sensing (17 papers), Fluid Dynamics Simulations and Interactions (14 papers), Earthquake and Tsunami Effects (9 papers), Hydrology and Sediment Transport Processes (7 papers) and Earthquake Detection and Analysis (7 papers). The work is most often cited by research in Earth-Surface Processes (578 citations), Geophysics (457 citations), Computational Mechanics (521 citations), Atmospheric Science (408 citations) and Oceanography (263 citations). Tso‐Ren Wu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Philip L.‐F. Liu, Chia‐Ren Chu, Patrick Lynett, Chung-Yue Wang, J. C. Borrero, Costas E. Synolakis, Frederic Raichlen, Chung‐Yu Wang, Zhenhua Huang and Kusnowidjaja Megawati. Their work appears in journals such as Water, Natural hazards and earth system sciences, Ocean Engineering, Physics of Fluids and Journal of Waterway Port Coastal and Ocean Engineering.

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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