Chia‐Ying Tu

932 total citations
33 papers, 662 citations indexed

About

Chia‐Ying Tu is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Chia‐Ying Tu has authored 33 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 10 papers in Oceanography. Recurrent topics in Chia‐Ying Tu's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (13 papers). Chia‐Ying Tu is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (13 papers). Chia‐Ying Tu collaborates with scholars based in Taiwan, United States and Japan. Chia‐Ying Tu's co-authors include Huang‐Hsiung Hsu, Ben‐Jei Tsuang, Shian‐Jiann Lin, Lucas Harris, Wei‐Liang Lee, Akio Kitoh, I‐Chun Tsai, Jen‐Ping Chen, Yi‐Chi Wang and Chein‐Jung Shiu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Chia‐Ying Tu

32 papers receiving 657 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia‐Ying Tu Taiwan 15 557 553 181 57 36 33 662
Ruping Mo Canada 15 530 1.0× 527 1.0× 114 0.6× 23 0.4× 55 1.5× 32 613
Shiori Sugimoto Japan 15 489 0.9× 478 0.9× 79 0.4× 14 0.2× 34 0.9× 47 588
Abderrahmane Idelkadi France 12 538 1.0× 560 1.0× 76 0.4× 30 0.5× 43 1.2× 14 637
Mathieu Joly France 12 438 0.8× 453 0.8× 123 0.7× 84 1.5× 44 1.2× 14 551
Zuohao Cao Canada 13 414 0.7× 374 0.7× 60 0.3× 76 1.3× 32 0.9× 37 500
Zongjian Ke China 11 402 0.7× 458 0.8× 106 0.6× 36 0.6× 37 1.0× 29 514
Emily E. Riddle United States 9 528 0.9× 577 1.0× 100 0.6× 30 0.5× 23 0.6× 13 633
I. Tegoulias Greece 13 521 0.9× 437 0.8× 84 0.5× 133 2.3× 61 1.7× 30 624
Yun‐Young Lee South Korea 11 416 0.7× 491 0.9× 72 0.4× 36 0.6× 31 0.9× 19 535
Zhibiao Wang China 13 487 0.9× 458 0.8× 126 0.7× 32 0.6× 44 1.2× 42 590

Countries citing papers authored by Chia‐Ying Tu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ying Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ying Tu. 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 Chia‐Ying Tu. The network helps show where Chia‐Ying Tu may publish in the future.

Co-authorship network of co-authors of Chia‐Ying Tu

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

All Works

20 of 20 papers shown
1.
Hong, Chi‐Cherng, et al.. (2023). Effect of model resolution on simulation of tropical cyclone landfall in East Asia based on a comparison of 25- and 50-km HiRAMs. Climate Dynamics. 61(5-6). 2085–2101. 3 indexed citations
2.
Hsu, Huang‐Hsiung, et al.. (2023). Assessment of an Experimental Version of fvGFS for TC Genesis Forecasting Ability in the Western North Pacific. Weather and Forecasting. 38(11). 2271–2287.
3.
Chen, Chao‐An, et al.. (2022). Future change in extreme precipitation in East Asian spring and Mei-yu seasons in two high-resolution AGCMs. Weather and Climate Extremes. 35. 100408–100408. 16 indexed citations
4.
Tseng, Wan‐Ling, Huang‐Hsiung Hsu, Wei‐Liang Lee, et al.. (2022). Improving Madden–Julian oscillation simulation in atmospheric general circulation models by coupling with a one-dimensional snow–ice–thermocline ocean model. Geoscientific model development. 15(14). 5529–5546. 5 indexed citations
5.
Hsu, Pang‐Chi, Chih‐Hua Tsou, Huang‐Hsiung Hsu, et al.. (2021). Future Changes in the Frequency and Destructiveness of Landfalling Tropical Cyclones Over East Asia Projected by High‐Resolution AGCMs. Earth s Future. 9(3). 17 indexed citations
6.
Chang, Wen‐Yi, et al.. (2021). Development of high-precision wind, wave and current forecast system for offshore wind energy industry in Taiwan: a two-stage method of numerical simulation and AI correction. Journal of the Chinese Institute of Engineers. 44(6). 532–543. 4 indexed citations
7.
Lee, Wei‐Liang, Yi‐Chi Wang, Chein‐Jung Shiu, et al.. (2020). Taiwan Earth System Model Version 1: Description and Evaluation of Mean State. 11 indexed citations
8.
Lee, Wei‐Liang, Yi‐Chi Wang, Chein‐Jung Shiu, et al.. (2020). Taiwan Earth System Model Version 1: description and evaluation of mean state. Geoscientific model development. 13(9). 3887–3904. 91 indexed citations
9.
Hong, Chi‐Cherng, Chih‐Hua Tsou, Pang‐Chi Hsu, et al.. (2020). Future Changes in Tropical Cyclone Intensity and Frequency over the Western North Pacific Based on 20-km HiRAM and MRI Models. Journal of Climate. 34(6). 2235–2251. 16 indexed citations
10.
11.
Huang, Wan‐Ru, et al.. (2019). Dynamical Downscaling Simulation and Future Projection of Extreme Precipitation Activities in Taiwan during the Mei-Yu Seasons. Journal of the Meteorological Society of Japan Ser II. 97(2). 481–499. 12 indexed citations
12.
Chen, Chao‐An, Huang‐Hsiung Hsu, Chi‐Cherng Hong, et al.. (2019). Seasonal precipitation change in the Western North Pacific and East Asia under global warming in two high-resolution AGCMs. Climate Dynamics. 53(9-10). 5583–5605. 24 indexed citations
13.
14.
Huang, Wan‐Ru, et al.. (2016). Summer Convective Afternoon Rainfall Simulation and Projection Using WRF Driven by Global Climate Model. Part II: Over South China and Luzon. Terrestrial Atmospheric and Oceanic Sciences. 27(5). 673–685. 7 indexed citations
15.
Harris, Lucas, Shian‐Jiann Lin, & Chia‐Ying Tu. (2016). High-Resolution Climate Simulations Using GFDL HiRAM with a Stretched Global Grid. Journal of Climate. 29(11). 4293–4314. 134 indexed citations
16.
Huang, Wan‐Ru, et al.. (2016). Dynamical downscaling simulation and future projection of summer rainfall in Taiwan: Contributions from different types of rain events. Journal of Geophysical Research Atmospheres. 121(23). 25 indexed citations
17.
Tsuang, Ben‐Jei, et al.. (2010). Observation and Simulation of Meteorology and Surface Energy Components over the South China Sea in Summers of 2004 and 2006. Terrestrial Atmospheric and Oceanic Sciences. 21(2). 325–325. 6 indexed citations
18.
Tsuang, Ben‐Jei, et al.. (2008). A more accurate scheme for calculating Earth’s skin temperature. Climate Dynamics. 32(2-3). 251–272. 15 indexed citations
19.
Tu, Chia‐Ying & Ben‐Jei Tsuang. (2005). Cool‐skin simulation by a one‐column ocean model. Geophysical Research Letters. 32(22). 27 indexed citations
20.
Chen, Chien‐Lung, Ben‐Jei Tsuang, Chia‐Ying Tu, Wan-Li Cheng, & Min‐Der Lin. (2002). Wintertime vertical profiles of air pollutants over a suburban area in central Taiwan. Atmospheric Environment. 36(12). 2049–2059. 36 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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