Guo‐Yuan Lien

1.2k citations
23 papers · 869 · h-index 15

Impact in

    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Precipitation Measurement and Analysis
    • Climate variability and models
    • Atmospheric aerosols and clouds
    • Atmospheric and Environmental Gas Dynamics

Papers in

Guo‐Yuan Lien

22 papers receiving 854 citations

Peers

Guo‐Yuan Lien
Comparison fields: 5 of 52
  • Atmospheric Science 788
  • Global and Planetary Change 653
  • Oceanography 109
  • Environmental Engineering 75
  • Information Systems and Management 13
Replace Daniel Reinert with:
Daniel Reinert Germany
Pilar Rípodas Germany
Xueshun Shen China
Ryuji Yoshida Japan
David Leutwyler Switzerland
Seiya Nishizawa Japan
Thorsten Reinhardt Germany
Koji Terasaki Japan
Andrew Dawson United Kingdom
Tsuyoshi Yamaura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Guo‐Yuan Lien

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Yuan Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Yuan Lien. 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 Guo‐Yuan Lien. The network helps show where Guo‐Yuan Lien may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018140
2 201678
3 201177
4 201373
5 201864
6 201059
7 201655
8 201550
9 201745
10 201639
11 201534
12 202032
13 201131
14 202123
15 202216
16 201914
17 201812
18 20179
19 20218
20 20196

About Guo‐Yuan Lien

Guo‐Yuan Lien is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Computer Networks and Communications and Information Systems and Management, having authored 23 papers that have together received 869 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (23 papers), Climate variability and models (19 papers), Precipitation Measurement and Analysis (11 papers), Tropical and Extratropical Cyclones Research (10 papers), Ocean Waves and Remote Sensing (2 papers), Scientific Computing and Data Management (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Atmospheric Science (788 citations), Global and Planetary Change (653 citations), Oceanography (109 citations), Environmental Engineering (75 citations) and Information Systems and Management (13 citations). Guo‐Yuan Lien has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Takemasa Miyoshi, Eugenia Kalnay, Chun‐Chieh Wu, Hirofumi Tomita, Kozo Okamoto, Yi‐Hsuan Huang, Takumi Honda, Kotaro Bessho, Seiya Nishizawa and Ryuji Yoshida. Their work appears in journals such as Monthly Weather Review, Journal of Geophysical Research Atmospheres, Journal of the Atmospheric Sciences, Journal of the Meteorological Society of Japan Ser II and Proceedings of the IEEE.

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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