Yeonjoo Kim

3.0k citations
99 papers · 2.2k indexed · h-index 28
Topics
Climate variability and models (31 papers)Hydrology and Watershed Management Studies (21 papers)Plant Water Relations and Carbon Dynamics (19 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Yeonjoo Kim

93 papers receiving 2.1k citations

Peers

Yeonjoo Kim
Comparison fields: 5 of 142
  • Global and Planetary Change 1.3k
  • Water Science and Technology 658
  • Atmospheric Science 439
  • Environmental Engineering 421
  • Ocean Engineering 229
Replace Jing Guo with:
Jing Guo China
Lachlan Newham Australia
Benjamin P. Bryant United States
Hans Jørgen Henriksen Denmark
Barbara Robson Australia
Yuankun Wang China
Arash Malekian Iran
Michael Bruen Ireland
Mort Webster United States
Yashon O. Ouma Kenya
Yeonjoo Kim relative to Jing Guo China Jing Guo's profile →
Citations per field
00.5×1.5×2.4×
Jing Guo · 1×
Citations per year

Countries citing papers authored by Yeonjoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yeonjoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonjoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonjoo Kim. A scholar is included among the top collaborators of Yeonjoo Kim 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 Yeonjoo Kim. Yeonjoo Kim 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 0
2 0
3 8
4 2
5 7
6 3
7 1
8 1
9 44
10 1
11 8
12
Modeling water supply and demand under changing climate and socio-economic growth over Gilgit-Baltistan of Pakistan using WEAP
0
13 37
14 85
15
Streamflow prediction combining WRF-Hydro modelling with machine learning
0
16 1
17 1
18
A Study for Relative Purchasing Power Parity using a Empirical Mode Decomposition
2
19 49
20 101

About Yeonjoo Kim

Yeonjoo Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Climate variability and models (31 papers), Hydrology and Watershed Management Studies (21 papers) and Plant Water Relations and Carbon Dynamics (19 papers). The work is most often cited by research in Global and Planetary Change (1.3k citations), Water Science and Technology (658 citations) and Environmental Engineering (421 citations). Yeonjoo Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include ‪Eun‐Sung Chung, Guiling Wang, Myoung‐Jin Um, Daeryong Park, Dagang Wang, Sang Ug Kim, P. R. Moorcroft, Young-Gyu Kim, Kyung Soo Jun and Rafael L. Bras. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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