Yu‐Chieng Liou

907 total citations
45 papers, 669 citations indexed

About

Yu‐Chieng Liou is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Yu‐Chieng Liou has authored 45 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in Yu‐Chieng Liou's work include Meteorological Phenomena and Simulations (38 papers), Climate variability and models (16 papers) and Precipitation Measurement and Analysis (16 papers). Yu‐Chieng Liou is often cited by papers focused on Meteorological Phenomena and Simulations (38 papers), Climate variability and models (16 papers) and Precipitation Measurement and Analysis (16 papers). Yu‐Chieng Liou collaborates with scholars based in Taiwan, United States and South Korea. Yu‐Chieng Liou's co-authors include Juanzhen Sun, Wen-Chau Lee, Sheng‐Lun Tai, Wei‐Yu Chang, Weixin Xu, Chuntao Liu, Ben Jong‐Dao Jou, Edward J. Zipser, Yi-Leng Chen and GyuWon Lee and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Journal of the Atmospheric Sciences.

In The Last Decade

Yu‐Chieng Liou

43 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Chieng Liou Taiwan 15 632 438 90 88 34 45 669
Hanne V. Murphey United States 13 460 0.7× 382 0.9× 95 1.1× 33 0.4× 21 0.6× 15 485
Si-Chee Tsay United States 12 371 0.6× 342 0.8× 39 0.4× 15 0.2× 17 0.5× 16 490
Jian‐Feng Gu China 12 349 0.6× 258 0.6× 26 0.3× 121 1.4× 13 0.4× 40 392
Wataru Mashiko Japan 9 303 0.5× 205 0.5× 94 1.0× 35 0.4× 37 1.1× 23 349
Kun Wu China 11 249 0.4× 241 0.6× 45 0.5× 43 0.5× 6 0.2× 35 339
S. Cosma France 7 325 0.5× 279 0.6× 52 0.6× 24 0.3× 9 0.3× 11 378
Claire Pettersen United States 12 643 1.0× 419 1.0× 12 0.1× 68 0.8× 9 0.3× 42 724
P. Delville France 9 298 0.5× 287 0.7× 59 0.7× 48 0.5× 4 0.1× 20 344
Steven van der Linden Netherlands 9 237 0.4× 200 0.5× 123 1.4× 14 0.2× 153 4.5× 17 420
Runhua Yang China 7 228 0.4× 229 0.5× 40 0.4× 51 0.6× 7 0.2× 23 311

Countries citing papers authored by Yu‐Chieng Liou

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Chieng Liou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Chieng Liou. 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 Yu‐Chieng Liou. The network helps show where Yu‐Chieng Liou may publish in the future.

Co-authorship network of co-authors of Yu‐Chieng Liou

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chieng Liou. A scholar is included among the top collaborators of Yu‐Chieng Liou 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 Yu‐Chieng Liou. Yu‐Chieng Liou 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
3.
Kim, Kwonil, et al.. (2023). High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations. Atmospheric measurement techniques. 16(3). 845–869. 7 indexed citations
4.
Wang, Sheng‐Hsiang, et al.. (2023). Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study. Atmospheric chemistry and physics. 23(18). 10423–10438. 1 indexed citations
5.
Liou, Yu‐Chieng, et al.. (2023). Removal of the Vertical Structure Ambiguity in the Thermodynamic Retrieval from Multiple-Doppler Radar Synthesized Wind Fields. Monthly Weather Review. 151(6). 1427–1442. 1 indexed citations
6.
Kim, Kwonil, et al.. (2022). Orographic‐Induced Strong Wind Associated With a Low‐Pressure System Under Clear‐Air Condition During ICE‐POP 2018. Journal of Geophysical Research Atmospheres. 127(13). 5 indexed citations
7.
Chang, Wei‐Yu, et al.. (2022). Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S- and C-Band Dual-Polarization Radars. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 2 indexed citations
8.
Liou, Yu‐Chieng, et al.. (2021). Precipitation Processes of a Thunderstorm Occurred on 19 August 2014 in Northern Taiwan Documented by Using a High Resolution 4DVar Data Assimilation System. Journal of the Meteorological Society of Japan Ser II. 99(4). 1023–1044. 4 indexed citations
9.
Weckwerth, Tammy M., et al.. (2021). The spatiotemporal characteristics of near-surface water vapor in a coastal region revealed from radar-derived refractivity. Monthly Weather Review. 2 indexed citations
11.
Liou, Yu‐Chieng, et al.. (2018). Single-Doppler Velocity Retrieval of the Wind Field in a Tornadic Supercell Using Mobile, Phased-Array, Doppler Radar Data. Journal of Atmospheric and Oceanic Technology. 35(8). 1649–1663. 9 indexed citations
12.
Yang, Ming‐Jen, et al.. (2018). The Study of Inland Eyewall Reformation of Typhoon Fanapi (2010) Using Numerical Experiments and Vorticity Budget Analysis. Journal of Geophysical Research Atmospheres. 123(17). 9604–9623. 6 indexed citations
13.
Yang, Shu‐Chih, et al.. (2017). Multilocalization data assimilation for predicting heavy precipitation associated with a multiscale weather system. Journal of Advances in Modeling Earth Systems. 9(3). 1684–1702. 6 indexed citations
14.
You, Cheol‐Hwan, et al.. (2017). Enhancement of orographic precipitation in Jeju Island during the passage of Typhoon Khanun (2012). Atmospheric Research. 201. 58–71. 17 indexed citations
16.
Yang, Shu-Chih, et al.. (2015). Analysis of the Relative Operating Characteristic and Economic Value Using the LAPS Ensemble Prediction System in Taiwan. Monthly Weather Review. 143(5). 1833–1848. 15 indexed citations
18.
Liou, Yu‐Chieng, et al.. (2011). An Application of the Immersed Boundary Method for Recovering the Three-Dimensional Wind Fields over Complex Terrain Using Multiple-Doppler Radar Data. Monthly Weather Review. 140(5). 1603–1619. 34 indexed citations
19.
Liou, Yu‐Chieng. (2007). Single-Doppler Retrieval of the Three-Dimensional Wind in a Deep Convective System Based on an Optimal Moving Frame of Reference. Journal of the Meteorological Society of Japan Ser II. 85(5). 559–582. 6 indexed citations
20.
Liou, Yu‐Chieng, Tzvi Gal‐Chen, & Douglas K. Lilly. (1991). Retrieval of wind temperature and pressure from single Doppler radar and a numerical model. 4 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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