Chin H. Wu

6.2k total citations
132 papers, 4.7k citations indexed

About

Chin H. Wu is a scholar working on Oceanography, Earth-Surface Processes and Atmospheric Science. According to data from OpenAlex, Chin H. Wu has authored 132 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Oceanography, 56 papers in Earth-Surface Processes and 43 papers in Atmospheric Science. Recurrent topics in Chin H. Wu's work include Coastal and Marine Dynamics (51 papers), Ocean Waves and Remote Sensing (41 papers) and Tropical and Extratropical Cyclones Research (32 papers). Chin H. Wu is often cited by papers focused on Coastal and Marine Dynamics (51 papers), Ocean Waves and Remote Sensing (41 papers) and Tropical and Extratropical Cyclones Research (32 papers). Chin H. Wu collaborates with scholars based in United States, Taiwan and China. Chin H. Wu's co-authors include Stanley J. Opella, Ayyalusamy Ramamoorthy, Madeline R. Magee, Adam J. Bechle, Jordan S. Read, Hengliang Yuan, David P. Hamilton, Heidi Nepf, Nobuaki Kimura and Timothy K. Kratz and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Geophysical Research Atmospheres.

In The Last Decade

Chin H. Wu

127 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin H. Wu United States 37 1.8k 1.0k 991 896 895 132 4.7k
Claude Millot France 47 3.6k 2.0× 2.0k 2.0× 653 0.7× 357 0.4× 945 1.1× 149 6.9k
Ole Andersen Denmark 43 4.0k 2.2× 1.3k 1.3× 400 0.4× 100 0.1× 322 0.4× 277 6.6k
D. A. Williams United States 49 448 0.2× 2.3k 2.3× 216 0.2× 1.1k 1.2× 758 0.8× 468 9.6k
Charles S. Cockell United Kingdom 52 491 0.3× 1.5k 1.5× 313 0.3× 140 0.2× 2.8k 3.2× 412 10.3k
David J. Des Marais United States 56 1.5k 0.8× 2.9k 2.9× 308 0.3× 134 0.1× 3.5k 3.9× 128 11.1k
David A. Long United States 38 500 0.3× 2.7k 2.7× 1.5k 1.5× 1.1k 1.3× 546 0.6× 164 6.5k
Anders Meibom Switzerland 55 1.8k 1.0× 1.1k 1.1× 86 0.1× 195 0.2× 3.5k 3.9× 240 9.3k
Donald R. Johnson United States 42 914 0.5× 2.2k 2.2× 110 0.1× 1.3k 1.4× 724 0.8× 348 7.3k
G.R. Davies Netherlands 61 247 0.1× 1.6k 1.6× 508 0.5× 120 0.1× 862 1.0× 362 11.8k
Jason Holt United Kingdom 54 3.6k 2.0× 1.5k 1.5× 383 0.4× 47 0.1× 1.1k 1.3× 215 8.7k

Countries citing papers authored by Chin H. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chin H. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin H. 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 Chin H. Wu. The network helps show where Chin H. Wu may publish in the future.

Co-authorship network of co-authors of Chin H. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin H. Wu. A scholar is included among the top collaborators of Chin H. Wu 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 Chin H. Wu. Chin H. Wu 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
1.
Lu, Benzhuo, Wei Wang, Nicholas Jordan, et al.. (2025). A multi-scale assessment for managing coastal geomorphic changes in southwestern Lake Michigan. Journal of Environmental Management. 395. 127878–127878. 1 indexed citations
2.
Wu, Chin H., et al.. (2025). Coastal geomorphic changes near groin structures under fluctuating water levels in Lake Michigan. Journal of Great Lakes Research. 51(4). 102622–102622.
3.
Zhang, Yinglong, Chin H. Wu, Dmitry Beletsky, et al.. (2025). Cross-scale prediction for the Laurentian Great Lakes. Ocean Modelling. 194. 102512–102512. 1 indexed citations
4.
Zhu, Longhuan, Pengfei Xue, Guy Meadows, et al.. (2024). Trends of Sediment Resuspension and Budget in Southern Lake Michigan Under Changing Wave Climate and Hydrodynamic Environment. Journal of Geophysical Research Oceans. 129(4). 4 indexed citations
5.
Lin, Li‐Ching, Wen‐Cheng Liu, & Chin H. Wu. (2024). Meteotsunamis in the Tamsui River estuary, Taiwan. Estuarine Coastal and Shelf Science. 299. 108704–108704. 1 indexed citations
6.
Zhang, Yinglong, Chin H. Wu, Eric J. Anderson, et al.. (2024). Debunking common myths in coastal circulation modeling. Ocean Modelling. 190. 102401–102401. 5 indexed citations
7.
Wu, Chin H., et al.. (2022). Drowning incidents and conditions due to hidden flash rips in Lake Michigan. The Science of The Total Environment. 827. 154314–154314. 7 indexed citations
8.
Kimura, Nobuaki & Chin H. Wu. (2018). Using a nowcasting system to better understand lake water dynamics. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 23(4). 367–380. 1 indexed citations
9.
Magee, Madeline R. & Chin H. Wu. (2017). Response of water temperatures and stratification to changing climate in three lakes with different morphometry. Hydrology and earth system sciences. 21(12). 6253–6274. 133 indexed citations
10.
Magee, Madeline R., Chin H. Wu, Dale M. Robertson, Richard C. Lathrop, & David P. Hamilton. (2016). Trends and abrupt changes in 104 years of ice cover and water temperature in a dimictic lake in response to air temperature, wind speed, and water clarity drivers. Hydrology and earth system sciences. 20(5). 1681–1702. 71 indexed citations
11.
Bechle, Adam J., et al.. (2016). Characterization and assessment of the meteotsunami hazard in northern Lake Michigan. Journal of Geophysical Research Oceans. 121(9). 7141–7158. 27 indexed citations
12.
Bechle, Adam J. & Chin H. Wu. (2010). Virtual wave gauges based upon stereo imaging for measuring surface wave characteristics. Coastal Engineering. 58(4). 305–316. 45 indexed citations
13.
Lin, Eugene C., Chin H. Wu, Yuan Yang, Christopher V. Grant, & Stanley J. Opella. (2010). 1H–13C separated local field spectroscopy of uniformly 13C labeled peptides and proteins. Journal of Magnetic Resonance. 206(1). 105–111. 5 indexed citations
14.
Young, Chih‐Chieh, Chin H. Wu, Wen‐Cheng Liu, & Jan‐Tai Kuo. (2009). A higher-order non-hydrostatic σ model for simulating non-linear refraction–diffraction of water waves. Coastal Engineering. 56(9). 919–930. 28 indexed citations
15.
Wu, Chin H. & Hengliang Yuan. (2006). Efficient non-hydrostatic modelling of surface waves interacting with structures. Applied Mathematical Modelling. 31(4). 687–699. 18 indexed citations
16.
Kratz, Timothy K., Peter Arzberger, Brandon Benson, et al.. (2006). Toward a Global Lake Ecological Observatory Network. AGU Fall Meeting Abstracts. 2006. 15 indexed citations
17.
Wu, Chin H., et al.. (2006). Bluff Recession Rates and Wave Impact Along the Wisconsin Coast of Lake Superior. Journal of Great Lakes Research. 32(3). 512–530. 44 indexed citations
18.
Liu, Paul C., et al.. (2004). Exploring rogue waves from observations in South Indian Ocean. 39. 6 indexed citations
19.
Thiriot, David S., et al.. (2004). Structure of the Coat Protein in Pf1 Bacteriophage Determined by Solid-state NMR Spectroscopy. Journal of Molecular Biology. 341(3). 869–879. 84 indexed citations
20.
Wu, Chin H., et al.. (2004). Energy Dissipation of Unsteady Wave Breaking on Currents. Journal of Physical Oceanography. 34(10). 2288–2304. 22 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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