Chun‐Chao Kuo

672 total citations
20 papers, 562 citations indexed

About

Chun‐Chao Kuo is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Chun‐Chao Kuo has authored 20 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 7 papers in Water Science and Technology. Recurrent topics in Chun‐Chao Kuo's work include Climate variability and models (13 papers), Meteorological Phenomena and Simulations (9 papers) and Hydrology and Watershed Management Studies (7 papers). Chun‐Chao Kuo is often cited by papers focused on Climate variability and models (13 papers), Meteorological Phenomena and Simulations (9 papers) and Hydrology and Watershed Management Studies (7 papers). Chun‐Chao Kuo collaborates with scholars based in Canada, Taiwan and China. Chun‐Chao Kuo's co-authors include Thian Yew Gan, Pao‐Shan Yu, Tao-Chang Yang, Shien‐Tsung Chen, Jiancang Xie, Rengui Jiang, Mesgana Seyoum Gizaw, Ni Wang, Steven Chan and Hsu‐Cheng Hsu and has published in prestigious journals such as Applied Physics Letters, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

Chun‐Chao Kuo

20 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Chao Kuo Canada 13 395 190 173 94 50 20 562
Ayumi Kotani Japan 19 774 2.0× 455 2.4× 167 1.0× 160 1.7× 160 3.2× 54 1.1k
Jean Emmanuel Sicart France 18 438 1.1× 885 4.7× 191 1.1× 52 0.6× 71 1.4× 51 1.2k
Hailong Zhang China 17 228 0.6× 144 0.8× 29 0.2× 118 1.3× 112 2.2× 52 630
Zhongming Gao United States 16 508 1.3× 298 1.6× 59 0.3× 142 1.5× 103 2.1× 39 775
Jiangpeng Cui China 13 415 1.1× 228 1.2× 179 1.0× 47 0.5× 108 2.2× 36 738
Andrew Martin United States 19 617 1.6× 683 3.6× 98 0.6× 48 0.5× 44 0.9× 59 1.0k
J. M. Schneider United States 12 196 0.5× 110 0.6× 71 0.4× 83 0.9× 56 1.1× 37 458
David Humberto Lopez United States 14 137 0.3× 232 1.2× 67 0.4× 30 0.3× 26 0.5× 27 545
S. R. Kshirsagar India 6 563 1.4× 267 1.4× 179 1.0× 140 1.5× 34 0.7× 13 748
Yundi Jiang China 13 231 0.6× 167 0.9× 36 0.2× 19 0.2× 33 0.7× 26 421

Countries citing papers authored by Chun‐Chao Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Chao Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Chao Kuo. 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 Chun‐Chao Kuo. The network helps show where Chun‐Chao Kuo may publish in the future.

Co-authorship network of co-authors of Chun‐Chao Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Chao Kuo. A scholar is included among the top collaborators of Chun‐Chao Kuo 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 Chun‐Chao Kuo. Chun‐Chao Kuo 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
2.
Kuo, Chun‐Chao, Thian Yew Gan, & Jingwen Wang. (2020). Climate change impact to Mackenzie river Basin projected by a regional climate model. Climate Dynamics. 54(7-8). 3561–3581. 12 indexed citations
3.
Kuo, Chun‐Chao & Thian Yew Gan. (2018). Estimation of precipitation and air temperature over western Canada using a regional climate model. International Journal of Climatology. 38(14). 5125–5135. 8 indexed citations
4.
Gan, Thian Yew, et al.. (2018). The impact of climate change on inland waterway transport: Effects of low water levels on the Mackenzie River. Journal of Hydrology. 566. 285–298. 26 indexed citations
5.
Jiang, Rengui, Jiancang Xie, Hailong He, et al.. (2016). Spatiotemporal variability and predictability of Normalized Difference Vegetation Index (NDVI) in Alberta, Canada. International Journal of Biometeorology. 60(9). 1389–1403. 25 indexed citations
6.
Jiang, Rengui, Thian Yew Gan, Jiancang Xie, Ni Wang, & Chun‐Chao Kuo. (2015). Historical and potential changes of precipitation and temperature of Alberta subjected to climate change impact: 1900–2100. Theoretical and Applied Climatology. 127(3-4). 725–739. 61 indexed citations
7.
Kuo, Chun‐Chao & Thian Yew Gan. (2015). Risk of Exceeding Extreme Design Storm Events under Possible Impact of Climate Change. Journal of Hydrologic Engineering. 20(12). 7 indexed citations
8.
Kuo, Chun‐Chao, Thian Yew Gan, & Mesgana Seyoum Gizaw. (2015). Potential impact of climate change on intensity duration frequency curves of central Alberta. Climatic Change. 130(2). 115–129. 39 indexed citations
9.
Kuo, Chun‐Chao, et al.. (2014). Configuration and validation of a mesoscale atmospheric model for simulating summertime rainfall in Central Alberta. International Journal of Climatology. 35(5). 660–675. 7 indexed citations
10.
Kuo, Chun‐Chao, et al.. (2014). Precipitation frequency analysis based on regional climate simulations in Central Alberta. Journal of Hydrology. 510. 436–446. 25 indexed citations
11.
Fu, Xiaokang, Chun‐Chao Kuo, & Thian Yew Gan. (2014). Change point analysis of precipitation indices of Western Canada. International Journal of Climatology. 35(9). 2592–2607. 15 indexed citations
12.
Kuo, Chun‐Chao, Thian Yew Gan, & Steven Chan. (2012). Regional Intensity-Duration-Frequency Curves Derived from Ensemble Empirical Mode Decomposition and Scaling Property. Journal of Hydrologic Engineering. 18(1). 66–74. 21 indexed citations
13.
Gan, Thian Yew, et al.. (2012). Flood mapping of Danube River at Romania using single and multi-date ERS2-SAR images. International Journal of Applied Earth Observation and Geoinformation. 18. 69–81. 54 indexed citations
14.
Kuo, Chun‐Chao, Thian Yew Gan, & Pao‐Shan Yu. (2010). Seasonal streamflow prediction by a combined climate-hydrologic system for river basins of Taiwan. Journal of Hydrology. 387(3-4). 292–303. 12 indexed citations
15.
Chen, Huiyuan, Chun‐Chao Kuo, Hsu‐Cheng Hsu, et al.. (2010). Photoconductivity in single AlN nanowires by subband gap excitation. Applied Physics Letters. 96(6). 58 indexed citations
16.
Kuo, Chun‐Chao, Thian Yew Gan, & Pao‐Shan Yu. (2009). Wavelet Analysis on the Variability, Teleconnectivity, and Predictability of the Seasonal Rainfall of Taiwan. Monthly Weather Review. 138(1). 162–175. 26 indexed citations
17.
Chen, Shien‐Tsung, Chun‐Chao Kuo, & Pao‐Shan Yu. (2009). Historical trends and variability of meteorological droughts in Taiwan / Tendances historiques et variabilité des sécheresses météorologiques à Taiwan. Hydrological Sciences Journal. 54(3). 430–441. 77 indexed citations
18.
Wang, Yu-Chi, et al.. (2006). OPTIMUM USE OF PADDY FIELDS FOR FLOOD MITIGATION. JAWRA Journal of the American Water Resources Association. 42(2). 375–386. 5 indexed citations
19.
Yu, Pao‐Shan, Tao-Chang Yang, & Chun‐Chao Kuo. (2006). Evaluating Long-Term Trends in Annual and Seasonal Precipitation in Taiwan. Water Resources Management. 20(6). 1007–1023. 78 indexed citations
20.
Yu, Pao‐Shan, et al.. (2004). Simulation of Flow Hydrographs at an Ungauged Site in Taiwan using a distributed rainfall-runoff model. ScholarsArchive (Brigham Young University). 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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