Ming‐Cheng Yen

91 total papers · 2.7k total citations
77 papers, 1.9k citations indexed

About

Ming‐Cheng Yen is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Ming‐Cheng Yen has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Global and Planetary Change, 69 papers in Atmospheric Science and 25 papers in Oceanography. Recurrent topics in Ming‐Cheng Yen's work include Climate variability and models (62 papers), Meteorological Phenomena and Simulations (40 papers) and Tropical and Extratropical Cyclones Research (38 papers). Ming‐Cheng Yen is often cited by papers focused on Climate variability and models (62 papers), Meteorological Phenomena and Simulations (40 papers) and Tropical and Extratropical Cyclones Research (38 papers). Ming‐Cheng Yen collaborates with scholars based in United States, Taiwan and Japan. Ming‐Cheng Yen's co-authors include Tsing-Chang Chen, Shih-Yu Wang, Tsing-Chang Chen, Wan‐Ru Huang, Jenq‐Dar Tsay, William A. Gallus, Jun Matsumoto, Adam J. Clark, Raymond W. Arritt and Sheng‐Hsiang Wang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Ming‐Cheng Yen

75 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Ming‐Cheng Yen 1.7k 1.7k 622 151 120 77 1.9k
Zhiwei Zhu 1.7k 1.0× 1.6k 0.9× 655 1.1× 149 1.0× 80 0.7× 96 1.9k
Jong‐Ghap Jhun 2.1k 1.2× 1.9k 1.2× 812 1.3× 76 0.5× 126 1.1× 65 2.4k
Petteri Uotila 1.4k 0.8× 1.8k 1.1× 428 0.7× 86 0.6× 129 1.1× 86 2.2k
Colin M. Zarzycki 2.2k 1.3× 2.3k 1.4× 479 0.8× 123 0.8× 112 0.9× 72 2.7k
Wolfgang A. Müller 2.4k 1.4× 2.1k 1.2× 867 1.4× 82 0.5× 121 1.0× 82 2.8k
Myong‐In Lee 2.8k 1.7× 2.8k 1.6× 717 1.2× 218 1.4× 329 2.7× 108 3.3k
Anantha Aiyyer 1.3k 0.8× 1.4k 0.8× 622 1.0× 91 0.6× 60 0.5× 41 1.5k
Jason N. S. Cole 2.9k 1.7× 2.6k 1.5× 266 0.4× 112 0.7× 93 0.8× 92 3.2k
Pierre Nabat 1.8k 1.1× 1.6k 1.0× 514 0.8× 174 1.2× 95 0.8× 71 2.3k
C. V. Naidu 993 0.6× 979 0.6× 295 0.5× 115 0.8× 145 1.2× 61 1.5k

Countries citing papers authored by Ming‐Cheng Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Cheng Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Cheng Yen. 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 Ming‐Cheng Yen. The network helps show where Ming‐Cheng Yen may publish in the future.

Co-authorship network of co-authors of Ming‐Cheng Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Cheng Yen. A scholar is included among the top collaborators of Ming‐Cheng Yen 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 Ming‐Cheng Yen. Ming‐Cheng Yen 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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