Chi‐Hua Wu

50 total papers · 867 total citations
37 papers, 711 citations indexed

About

Chi‐Hua Wu is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Chi‐Hua Wu has authored 37 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 9 papers in Oceanography. Recurrent topics in Chi‐Hua Wu's work include Climate variability and models (36 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (17 papers). Chi‐Hua Wu is often cited by papers focused on Climate variability and models (36 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (17 papers). Chi‐Hua Wu collaborates with scholars based in Taiwan, United States and United Kingdom. Chi‐Hua Wu's co-authors include Huang‐Hsiung Hsu, Ming‐Dah Chou, John C. H. Chiang, Yanjun Cai, Tripti Bhattacharya, Jesse A. Day, Inez Fung, Jacob P. Edman, Yuwei Liu and Nicolas Freychet and has published in prestigious journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Chi‐Hua Wu

37 papers receiving 706 citations

Author Peers

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

Author Last Decade Papers Cites
Chi‐Hua Wu 643 480 120 100 90 37 711
Toshiyuki Nakaegawa 625 1.0× 464 1.0× 150 1.3× 66 0.7× 50 0.6× 39 853
Alexander J. Baker 617 1.0× 544 1.1× 186 1.6× 48 0.5× 85 0.9× 24 736
Christian Stepanek 532 0.8× 244 0.5× 87 0.7× 117 1.2× 89 1.0× 34 637
Alyssa R. Atwood 530 0.8× 258 0.5× 113 0.9× 172 1.7× 112 1.2× 26 639
Richard S. Vachula 502 0.8× 305 0.6× 57 0.5× 183 1.8× 88 1.0× 67 754
William H. G. Roberts 585 0.9× 223 0.5× 117 1.0× 123 1.2× 112 1.2× 34 791
Ecmel Erlat 378 0.6× 540 1.1× 79 0.7× 49 0.5× 29 0.3× 26 724
Anja Schwarz 443 0.7× 225 0.5× 43 0.4× 144 1.4× 110 1.2× 34 630
Vidya Varma 690 1.1× 354 0.7× 98 0.8× 158 1.6× 96 1.1× 24 760
Pauline Gulliver 322 0.5× 194 0.4× 204 1.7× 375 3.8× 103 1.1× 40 700

Countries citing papers authored by Chi‐Hua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Hua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Hua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Hua Wu. A scholar is included among the top collaborators of Chi‐Hua 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 Chi‐Hua Wu. Chi‐Hua 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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