Chin H. Wu

177 total papers · 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, 55 papers in Earth-Surface Processes and 43 papers in Atmospheric Science. Recurrent topics in Chin H. Wu's work include Coastal and Marine Dynamics (50 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 (50 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

126 papers receiving 4.5k citations

Hit Papers

Derivation of lake mixing... 2011 2026 2016 2021 2011 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chin H. Wu 1.8k 1.0k 983 896 891 132 4.7k
Thomas F. Anderson 603 0.3× 1.6k 1.6× 331 0.3× 356 0.4× 1.5k 1.7× 135 7.8k
Claude Millot 3.6k 2.0× 2.0k 2.0× 654 0.7× 358 0.4× 962 1.1× 149 6.8k
Timothy J. Shaw 919 0.5× 1.0k 1.0× 123 0.1× 98 0.1× 679 0.8× 141 6.6k
Ole Andersen 4.1k 2.3× 1.3k 1.3× 405 0.4× 100 0.1× 330 0.4× 284 6.7k
D. A. Williams 449 0.2× 2.3k 2.3× 216 0.2× 1.1k 1.2× 759 0.9× 468 9.6k
Glenn Jones 1.2k 0.6× 2.7k 2.7× 478 0.5× 80 0.1× 1.4k 1.6× 154 7.4k
Charles S. Cockell 490 0.3× 1.5k 1.5× 312 0.3× 139 0.2× 2.8k 3.2× 410 10.2k
Peter Bauer‐Gottwein 649 0.4× 837 0.8× 302 0.3× 280 0.3× 767 0.9× 305 7.8k
Matt R. Kilburn 378 0.2× 608 0.6× 151 0.2× 160 0.2× 873 1.0× 113 5.5k
David J. Des Marais 1.5k 0.8× 2.9k 2.9× 307 0.3× 134 0.1× 3.5k 3.9× 128 11.1k

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

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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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2026