Jau‐Ming Chen

1.4k citations
64 papers · 1.2k · h-index 17

Impact in

    • Tropical and Extratropical Cyclones Research
    • Meteorological Phenomena and Simulations
    • Ocean Waves and Remote Sensing
    • Oceanographic and Atmospheric Processes
    • Marine and coastal ecosystems

Papers in

Jau‐Ming Chen

59 papers receiving 1.2k citations

Peers

Jau‐Ming Chen
Comparison fields: 5 of 62
  • Atmospheric Science 989
  • Oceanography 635
  • Global and Planetary Change 965
  • Toxicology 34
  • Complementary and alternative medicine 37
Replace Linda L. King with:
Linda L. King United States
Tamaki Yasuda Japan
Qinyan Liu China
Frank T. Huang United States
Anne Morgenstern Germany
Amandine Guillot France
Zhang Xuehong China
Matthias Röthlisberger Switzerland
Yasuo Kondo Japan
María Teresa Hernández-Sánchez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Jau‐Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jau‐Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993172
2 1995156
3 2010106
4 199691
5 201160
6 201754
7 200743
8 201833
9 200829
10 200328
11 199626
12 200525
13 201225
14 201823
15 201723
16 201318
17 201718
18 201816
19 201916
20 199516

About Jau‐Ming Chen

Jau‐Ming Chen is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Geology and Computer Networks and Communications, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate variability and models (49 papers), Tropical and Extratropical Cyclones Research (42 papers), Ocean Waves and Remote Sensing (21 papers), Oceanographic and Atmospheric Processes (20 papers), Meteorological Phenomena and Simulations (20 papers), Geophysics and Gravity Measurements (4 papers), Geological and Geophysical Studies (3 papers) and Arctic and Antarctic ice dynamics (2 papers). The work is most often cited by research in Atmospheric Science (989 citations), Oceanography (635 citations), Global and Planetary Change (965 citations), Toxicology (34 citations) and Complementary and alternative medicine (37 citations). Jau‐Ming Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tsing-Chang Chen, Ching‐Feng Shih, Tim Li, Huishan Chen, Liang Wu, Pei‐Hua Tan, Jien‐Yi Tu, Tao Feng, Li‐Kang Ho and Ming‐Jaw Don. Their work appears in journals such as Terrestrial Atmospheric and Oceanic Sciences, International Journal of Climatology, Journal of Climate, Journal of the Meteorological Society of Japan Ser II and Monthly Weather Review.

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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