Tae‐Woong Kim

7.8k citations
306 papers · 6.3k indexed · 1 hit paper · h-index 41

Tae‐Woong Kim

289 papers receiving 6.0k citations

Hit Papers

Drought impact, vulnerability, risk assessment, managemen...192025202651015

Peers

Tae‐Woong Kim
Comparison fields: 5 of 181
  • Global and Planetary Change 3.0k
  • Water Science and Technology 1.8k
  • Environmental Engineering 845
  • Pharmacology 371
  • Complementary and alternative medicine 286
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Citations per year

Countries citing papers authored by Tae‐Woong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Woong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tae‐Woong Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tae‐Woong Kim Line = papers co-authored together Tae‐Woong Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20249
2 20241
3 20241
4 20232
5
Fostering Learner Autonomy through CALL and MALL in a Korean Class: A Case Study.
20195
6 20192
7 20189
8 201817
9 20181
10 20173
11 201212
12
Development of an Efficient Synthetic Method for a Novel Anticancer Substance Isolated from Insect-flower
20121
13
Evaluation of Drought Risk in Gyeongsang-do Using EDI
20111
14 20111
15 201031
16
Estimation of Design Rainfalls Considering an Increasing Trend in Rainfall Data
20097
17 200876
18
The Src/PLC/PKC/MEK/ERK signaling pathway is involved in aortic smooth muscle cell proliferation induced by glycated LDL.
200528
19
Effects of Lipid Peroxidation of LDL and Lp(a)
19963
20
Diabetic Atherosclerosis and Glycation of LDL(Low Density Lipoprotein)
19960

About Tae‐Woong Kim

Tae‐Woong Kim is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 306 papers that have together received 6.3k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (119 papers), Hydrology and Watershed Management Studies (96 papers), Climate variability and models (86 papers), Flood Risk Assessment and Management (39 papers), Climate change impacts on agriculture (27 papers), Hydrological Forecasting Using AI (23 papers), Fungal Biology and Applications (19 papers) and Water resources management and optimization (18 papers). The work is most often cited by research in Global and Planetary Change (3.0k citations), Water Science and Technology (1.8k citations) and Environmental Engineering (845 citations). Tae‐Woong Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Juan B. Valdés, Muhammad Jehanzaib, Muhammad Ajmal, Jiyoung Yoo, Chulsang Yoo, Muhammad Waseem, Hyun‐Han Kwon, Joo‐Heon Lee, Jae Youl Cho and Muhammad Nouman Sattar. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Cancer Research.

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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