Tae-Hwan Kim

557 citations
35 papers · 460 indexed · h-index 14

Tae-Hwan Kim

32 papers receiving 452 citations

Peers

Tae-Hwan Kim
Comparison fields: 5 of 72
  • Organic Chemistry 194
  • Pharmaceutical Science 23
  • Electrical and Electronic Engineering 130
  • Computer Networks and Communications 43
  • Biomaterials 19
Replace Aixin Zhang with:
Aixin Zhang China
Xuejian Zhang China
Ashok K. Sharma United States
Xiaoqing Yang China
Ximin Li China
Akio Ito Japan
Hiren V. Shah United States
Jia Zhou China
Cui Huang China
Tae-Hwan Kim relative to Aixin Zhang China Aixin Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tae-Hwan Kim

Since Specialization
Citations

This map shows the geographic impact of Tae-Hwan 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-Hwan 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-Hwan Kim more than expected).

Fields of papers citing papers by Tae-Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tae-Hwan 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-Hwan Kim Line = papers co-authored together Tae-Hwan Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20259
2 20250
3 202317
4 20224
5 202147
6 20212
7 20204
8 201914
9
Wideband spatial channel model in an urban cellular environments at 28 GHz
201544
10 201516
11 20142
12 201328
13 201117
14 20110
15 20092
16 20091
17 200911
18 200813
19 20078
20 200611

About Tae-Hwan Kim

Tae-Hwan Kim is a scholar working on Organic Chemistry, Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (9 papers), Catalytic C–H Functionalization Methods (6 papers), Surfactants and Colloidal Systems (5 papers), Error Correcting Code Techniques (4 papers), Sulfur-Based Synthesis Techniques (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Radical Photochemical Reactions (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Organic Chemistry (194 citations), Pharmaceutical Science (23 citations), Electrical and Electronic Engineering (130 citations), Computer Networks and Communications (43 citations) and Biomaterials (19 citations). Tae-Hwan Kim has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Sungwoo Hong, In‐Cheol Park, Sung‐Min Choi, Nam Hoon Kim, Changseok Lee, Mari Vellakkaran, Steven R. Kline, Minjae Lee, Kwang‐Hyun Cho and Sooyoung Hur. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Organic Letters, Soft Matter, Physica B Condensed Matter and Langmuir.

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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