Guo‐Yuan Lien

1.2k total citations
22 papers, 858 citations indexed

About

Guo‐Yuan Lien is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Guo‐Yuan Lien has authored 22 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in Guo‐Yuan Lien's work include Meteorological Phenomena and Simulations (22 papers), Climate variability and models (19 papers) and Precipitation Measurement and Analysis (11 papers). Guo‐Yuan Lien is often cited by papers focused on Meteorological Phenomena and Simulations (22 papers), Climate variability and models (19 papers) and Precipitation Measurement and Analysis (11 papers). Guo‐Yuan Lien collaborates with scholars based in Japan, United States and Taiwan. Guo‐Yuan Lien's 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 and has published in prestigious journals such as Proceedings of the IEEE, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Guo‐Yuan Lien

22 papers receiving 845 citations

Peers

Guo‐Yuan Lien

GPC

OCEAN

Daniel Reinert Germany

Pilar Rípodas Germany

Xueshun Shen China

Seiya Nishizawa Japan

Ryuji Yoshida Japan

Thorsten Reinhardt Germany

S. R. H. Rizvi United States

David Leutwyler Switzerland

Tsuyoshi Yamaura Japan

Koji Terasaki Japan

Daniel Reinert Germany

Guo‐Yuan Lien

781 ×1.0

670 ×1.0

GPC

88 ×0.8

OCEAN

101 ×1.4

22 ×0.7

Citations per year, relative to Guo‐Yuan Lien Guo‐Yuan Lien (= 1×) peers Daniel Reinert

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-authorship network of co-authors of Guo‐Yuan Lien

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Yuan Lien. A scholar is included among the top collaborators of Guo‐Yuan Lien 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 Guo‐Yuan Lien. Guo‐Yuan Lien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lien, Guo‐Yuan, et al.. (2023). Impacts of GNSS RO Data on Typhoon Forecasts Using Global FV3GFS with GSI 4DEnVar. Atmosphere. 14(4). 735–735. 1 indexed citations

Honda, Takumi, Shigenori Otsuka, Guo‐Yuan Lien, et al.. (2022). Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation. Journal of Advances in Modeling Earth Systems. 14(6). 16 indexed citations

Ruiz, Juan, Guo‐Yuan Lien, Keiichi Kondo, Shigenori Otsuka, & Takemasa Miyoshi. (2021). Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction. Nonlinear processes in geophysics. 28(4). 615–626. 8 indexed citations

Lien, Guo‐Yuan, et al.. (2021). Assimilation Impact of Early FORMOSAT-7/COSMIC-2 GNSS Radio Occultation Data with Taiwan’s CWB Global Forecast System. Monthly Weather Review. 22 indexed citations

Weißmann, Martin, et al.. (2020). A convective‐scale 1,000‐member ensemble simulation and potential applications. Quarterly Journal of the Royal Meteorological Society. 146(728). 1423–1442. 32 indexed citations

Lin, Yu‐Feng, et al.. (2019). Typhoon Fanapi (2010) and its Interaction with Taiwan Terrain – Evaluation of the Uncertainty in Track, Intensity and Rainfall Simulations. Journal of the Meteorological Society of Japan Ser II. 98(1). 93–113. 6 indexed citations

Yang, Shu-Chih, et al.. (2019). Impact of Tropical Cyclone Initialization on Its Convection Development and Intensity: A Case Study of Typhoon Megi (2010). Journal of the Atmospheric Sciences. 77(2). 443–464. 13 indexed citations

Lien, Guo‐Yuan, et al.. (2018). Accelerating assimilation development for new observing systems using EFSO. Nonlinear processes in geophysics. 25(1). 129–143. 12 indexed citations

Honda, Takumi, Takemasa Miyoshi, Guo‐Yuan Lien, et al.. (2018). Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015). Monthly Weather Review. 146(1). 213–229. 136 indexed citations

10.

Honda, Takumi, Shunji Kotsuki, Guo‐Yuan Lien, et al.. (2018). Assimilation of Himawari‐8 All‐Sky Radiances Every 10 Minutes: Impact on Precipitation and Flood Risk Prediction. Journal of Geophysical Research Atmospheres. 123(2). 965–976. 63 indexed citations

11.

Lien, Guo‐Yuan, Takemasa Miyoshi, Seiya Nishizawa, et al.. (2017). The Near-Real-Time SCALE-LETKF System: A Case of the September 2015 Kanto-Tohoku Heavy Rainfall. SOLA. 13(0). 1–6. 44 indexed citations

12.

Kotsuki, Shunji, Takemasa Miyoshi, Koji Terasaki, Guo‐Yuan Lien, & Eugenia Kalnay. (2016). Assimilating the global satellite mapping of precipitation data with the Nonhydrostatic Icosahedral Atmospheric Model (NICAM). Journal of Geophysical Research Atmospheres. 122(2). 631–650. 38 indexed citations

13.

Miyoshi, Takemasa, Guo‐Yuan Lien, Shinsuke Satoh, et al.. (2016). “Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress. Proceedings of the IEEE. 104(11). 2155–2179. 53 indexed citations

14.

Miyoshi, Takemasa, Masaru Kunii, Juan Ruiz, et al.. (2016). “Big Data Assimilation” Revolutionizing Severe Weather Prediction. Bulletin of the American Meteorological Society. 97(8). 1347–1354. 78 indexed citations

15.

Lien, Guo‐Yuan, Eugenia Kalnay, Takemasa Miyoshi, & George J. Huffman. (2015). Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation. Monthly Weather Review. 144(2). 663–679. 34 indexed citations

16.

Lien, Guo‐Yuan, Takemasa Miyoshi, & Eugenia Kalnay. (2015). Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System. Monthly Weather Review. 144(2). 643–661. 50 indexed citations

17.

Lien, Guo‐Yuan, Eugenia Kalnay, Takemasa Miyoshi, & George J. Huffman. (2012). Effective Assimilation of Global Precipitation. AGU Fall Meeting Abstracts. 2012. 3 indexed citations

18.

Wu, Chun‐Chieh, et al.. (2011). Rainfall Simulations of Typhoon Morakot with Controlled Translation Speed Based on EnKF Data Assimilation. Terrestrial Atmospheric and Oceanic Sciences. 22(6). 647–647. 31 indexed citations

19.

Wu, Chun‐Chieh, Yi‐Hsuan Huang, & Guo‐Yuan Lien. (2011). Concentric Eyewall Formation in Typhoon Sinlaku (2008). Part I: Assimilation of T-PARC Data Based on the Ensemble Kalman Filter (EnKF). Monthly Weather Review. 140(2). 506–527. 77 indexed citations

20.

Wu, Chun‐Chieh, et al.. (2010). Assimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF). Journal of the Atmospheric Sciences. 67(12). 3806–3822. 59 indexed citations

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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