Yuei‐An Liou

7.5k total citations · 1 hit paper
210 papers, 5.6k citations indexed

About

Yuei‐An Liou is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Yuei‐An Liou has authored 210 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Global and Planetary Change, 74 papers in Atmospheric Science and 63 papers in Astronomy and Astrophysics. Recurrent topics in Yuei‐An Liou's work include Ionosphere and magnetosphere dynamics (56 papers), GNSS positioning and interference (38 papers) and Climate variability and models (37 papers). Yuei‐An Liou is often cited by papers focused on Ionosphere and magnetosphere dynamics (56 papers), GNSS positioning and interference (38 papers) and Climate variability and models (37 papers). Yuei‐An Liou collaborates with scholars based in Taiwan, United States and Vietnam. Yuei‐An Liou's co-authors include Kim-Anh Nguyen, Sanjib Kar, Susanta Mahato, Swapan Talukdar, Atiqur Rahman, Shahfahad, Swades Pal, Pankaj Singha, A. G. Pavelyev and Anthony W. England and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Yuei‐An Liou

197 papers receiving 5.4k citations

Hit Papers

Land-Use Land-Cover Class... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuei‐An Liou Taiwan 38 2.6k 1.6k 1.4k 1.3k 916 210 5.6k
Joseph L. Awange Australia 41 2.3k 0.9× 983 0.6× 740 0.5× 662 0.5× 908 1.0× 204 5.1k
Kristi R. Arsenault United States 27 3.7k 1.4× 3.1k 1.9× 1.7k 1.2× 524 0.4× 698 0.8× 56 6.9k
D. L. Toll United States 20 2.8k 1.1× 2.2k 1.3× 1.4k 1.0× 466 0.4× 620 0.7× 49 5.5k
Kenneth Mitchell United States 13 2.6k 1.0× 2.2k 1.3× 1.3k 0.9× 579 0.5× 614 0.7× 46 5.5k
Yasushi Yamaguchi Japan 39 3.4k 1.3× 2.0k 1.2× 2.0k 1.4× 449 0.4× 417 0.5× 159 6.8k
Frédéric Frappart France 48 3.7k 1.4× 1.9k 1.1× 2.3k 1.6× 671 0.5× 1.1k 1.2× 242 7.4k
B. Cosgrove United States 21 4.5k 1.8× 3.5k 2.2× 2.2k 1.6× 500 0.4× 643 0.7× 48 8.0k
Huili Gong China 44 1.7k 0.7× 1.6k 1.0× 2.1k 1.5× 174 0.1× 2.3k 2.5× 326 6.6k
Dag Lohmann United States 21 5.3k 2.1× 3.8k 2.3× 2.1k 1.5× 493 0.4× 628 0.7× 30 8.8k
Alexander Y. Sun United States 45 1.9k 0.7× 564 0.3× 2.1k 1.5× 564 0.4× 589 0.6× 140 6.0k

Countries citing papers authored by Yuei‐An Liou

Since Specialization
Citations

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

Fields of papers citing papers by Yuei‐An Liou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuei‐An Liou

This figure shows the co-authorship network connecting the top 25 collaborators of Yuei‐An Liou. A scholar is included among the top collaborators of Yuei‐An 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 Yuei‐An Liou. Yuei‐An 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
1.
Nguyen, Kim-Anh, et al.. (2025). Quantifying the cooling intensity of urban green spaces (UGSs) on land surface temperature (LST) in Hanoi metropolitan Area, Vietnam. City and Environment Interactions. 28. 100264–100264.
3.
Liou, Yuei‐An, et al.. (2024). Revealing the intricate relationship: Droughts and typhoons in Taiwan using the Standardized Precipitation Index (SPI). Journal of Hydrology Regional Studies. 55. 101917–101917. 4 indexed citations
4.
Liou, Yuei‐An, et al.. (2024). Tropical cyclone-induced rainfall variability and its implications for drought in Taiwan: Insights from 1981 to 2022. Atmospheric Research. 312. 107771–107771.
5.
Liou, Yuei‐An, et al.. (2024). Four-decade spring droughts in Taiwan. Journal of Hydrology Regional Studies. 54. 101849–101849. 3 indexed citations
6.
Khan, Firdos, Gunter Spöck, Yuei‐An Liou, & Shaukat Ali. (2024). Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data. Environmental Science and Pollution Research. 31(42). 54979–54999. 5 indexed citations
7.
Tarolli, Paolo, Jian Luo, Eugenio Straffelini, et al.. (2023). Saltwater intrusion and climate change impact on coastal agriculture. PLOS Water. 2(4). e0000121–e0000121. 30 indexed citations
8.
Azmat, Muhammad, et al.. (2022). Identification of Potential Natural Aquifer Recharge Sites in Islamabad, Pakistan, by Integrating GIS and RS Techniques. Remote Sensing. 14(23). 6051–6051. 9 indexed citations
10.
Wu, Xiangbai, Qing Xu, Gen Li, et al.. (2019). Remotely-Observed Early Spring Warming in the Southwestern Yellow Sea Due to Weakened Winter Monsoon. Remote Sensing. 11(21). 2478–2478. 6 indexed citations
11.
Liou, Yuei‐An, et al.. (2015). Vanishing Ponds and Regional Water Resources in Taoyuan, Taiwan. Terrestrial Atmospheric and Oceanic Sciences. 26(2-2). 161–161. 10 indexed citations
12.
Pavelyev, A. G., Yuei‐An Liou, S. S. Matyugov, et al.. (2015). Application of the locality principle to radio occultation studies of the Earth's atmosphere and ionosphere. Atmospheric measurement techniques. 8(7). 2885–2899. 14 indexed citations
13.
Yeh, Wen‐Hao, et al.. (2014). Ray Tracing Simulation in Nonspherically Symmetric Atmosphere for GPS Radio Occultation. Terrestrial Atmospheric and Oceanic Sciences. 25(6). 801–801. 3 indexed citations
14.
Barthe, Christelle, et al.. (2014). Observation and a numerical study of gravity waves during tropical cyclone Ivan (2008). Atmospheric chemistry and physics. 14(2). 641–658. 34 indexed citations
15.
Pavelyev, A. G., Yuei‐An Liou, Jens Wickert, et al.. (2012). Identification and localization of layers in the ionosphere using the eikonal and amplitude of radio occultation signals. Atmospheric measurement techniques. 5(1). 1–16. 22 indexed citations
16.
Lin, Chuan‐Yao, et al.. (2011). Mesoscale processes for super heavy rainfall of Typhoon Morakot (2009) over Southern Taiwan. Atmospheric chemistry and physics. 11(1). 345–361. 44 indexed citations
17.
Huang, Cheng-Yung, et al.. (2009). FORMOSAT-3/COSMIC Spacecraft Constellation System, Mission Results, and Prospect for Follow-On Mission. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Pavelyev, A. G., A. G. Pavelyev, Yuei‐An Liou, et al.. (2008). Location of layered structures in the ionosphere and atmosphere by use of GPS occultation data. Advances in Space Research. 42(1). 224–228. 7 indexed citations
19.
Fong, Chen-Joe, et al.. (2007). The Most Accurate and Stable Space-Borne Thermometers –FORMOSAT-3/COSMIC Constellation. Digital Commons - USU (Utah State University). 46(3). 331–5. 7 indexed citations
20.
Pavelyev, A. G., Jens Wickert, T. Schmidt, et al.. (2005). Effect of solar activity in late October 2003 on radio occultation signals from the CHAMP German satellite. Geomagnetism and Aeronomy. 45(1). 134–139. 1 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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