Yumi Cha

698 citations
49 papers · 582 indexed · h-index 10
Topics
Climate variability and models (41 papers)Tropical and Extratropical Cyclones Research (35 papers)Ocean Waves and Remote Sensing (19 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of ClimatologyClimate Dynamics

In The Last Decade

Yumi Cha

47 papers receiving 557 citations

Peers

Yumi Cha
Comparison fields: 5 of 53
  • Global and Planetary Change 490
  • Atmospheric Science 432
  • Oceanography 122
  • Ecology, Evolution, Behavior and Systematics 63
  • Water Science and Technology 37
Replace D. B. Kiktev with:
D. B. Kiktev Russia
Ramón Fuentes‐Franco Sweden
Hailin Yan Australia
Surendra Rauniyar Australia
Simona Ştefănescu Romania
Roger Bodman Australia
Xiao Zhou China
Yafang Song China
Eveline C. van der Linden Netherlands
Monika Barcikowska United States
Yumi Cha relative to D. B. Kiktev Russia D. B. Kiktev's profile →
Citations per field
00.5×2.9×
D. B. Kiktev · 1×
Citations per year

Countries citing papers authored by Yumi Cha

Since Specialization
Citations

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

Fields of papers citing papers by Yumi Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yumi Cha. 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 Yumi Cha. The network helps show where Yumi Cha may publish in the future.

Co-authorship network of co-authors of Yumi Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Cha. A scholar is included among the top collaborators of Yumi Cha 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 Yumi Cha. Yumi Cha 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
#WorkIndexed citations
1 2
2 0
3 5
4 9
5 3
6 2
7 1
8 1
9 1
10 5
11 2
12 1
13 5
14 24
15 1
16 1
17 12
18
Recent Spatial and Temporal Changes in Means and Extreme Events of Temperature and Precipitation across the Republic of Korea
43
19
Future Climate Projection over East Asia Using ECHO-G/S
4
20
Impacts of the Land-sea Distribution around Korean Peninsula on the simulation of East Asia Summer Precipitation
1

About Yumi Cha

Yumi Cha is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 49 papers that have together received 582 indexed citations. Recurring topics across this work include Climate variability and models (41 papers), Tropical and Extratropical Cyclones Research (35 papers) and Ocean Waves and Remote Sensing (19 papers). The work is most often cited by research in Atmospheric Science (432 citations), Global and Planetary Change (490 citations) and Oceanography (122 citations). Yumi Cha has collaborated with scholars based in South Korea, China and Australia. Frequent co-authors include Jae‐Won Choi, Gwangyong Choi, Kyung‐On Boo, Won‐Tae Kwon, Ki‐Seon Choi, Guoyu Ren, Dean A. Collins, Gomboluudev Purevjav, Marina Baldi and Yoshikazu Fukuda. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Climatology and Climate Dynamics.

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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