Tae Jin Kang

8.4k citations
242 papers · 7.2k · h-index 45

Impact in

Papers in

Tae Jin Kang

227 papers receiving 6.9k citations

Peers

Tae Jin Kang
Comparison fields: 5 of 177
  • Polymers and Plastics 2.9k
  • Mechanics of Materials 1.8k
  • Biomaterials 866
  • Industrial and Manufacturing Engineering 611
  • Computer Graphics and Computer-Aided Design 136
Replace John W. S. Hearle with:
John W. S. Hearle United Kingdom
Behnam Pourdeyhimi United States
Mostafa Baghani Iran
Yee Cheong Lam Singapore
Charles L. Tucker United States
R. Byron Pipes United States
Damiano Pasini Canada
Shiwei Zhou Australia
Richard S. Trask United Kingdom
Tao Wang China
Tae Jin Kang relative to John W. S. Hearle United Kingdom John W. S. Hearle's profile →
Citations per field
00.5×2×2.9×
John W. S. Hearle · 1×
Citations per year

Countries citing papers authored by Tae Jin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae Jin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Jin Kang. 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 Jin Kang. The network helps show where Tae Jin Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006470
2 2006266
3 2003252
4 2008214
5 2006172
6 2007157
7 1999129
8 1994126
9 2002124
10 2010121
11 2006105
12 2002100
13 2008100
14 2011100
15 200598
16 199594
17 200490
18 201185
19 200084
20 200277

About Tae Jin Kang

Tae Jin Kang is a scholar working on Polymers and Plastics, Mechanics of Materials, Industrial and Manufacturing Engineering, Biomaterials and Mechanical Engineering, having authored 242 papers that have together received 7.2k indexed citations. Recurring topics across this work include Textile materials and evaluations (76 papers), Mechanical Behavior of Composites (50 papers), Industrial Vision Systems and Defect Detection (25 papers), Advanced Sensor and Energy Harvesting Materials (17 papers), Metal Forming Simulation Techniques (16 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Optical measurement and interference techniques (15 papers) and Structural Analysis and Optimization (15 papers). The work is most often cited by research in Polymers and Plastics (2.9k citations), Mechanics of Materials (1.8k citations), Biomaterials (866 citations), Industrial and Manufacturing Engineering (611 citations) and Computer Graphics and Computer-Aided Design (136 citations). Tae Jin Kang has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Kyung Hwa Hong, Jae Ryoun Youn, Woong‐Ryeol Yu, Soo Chang Kim, Kwansoo Chung, Kyung Wha Oh, Sungmin Kim, Dong Gi Seong, Yong‐Seung Chi and Jin Ah Kim. Their work appears in journals such as Textile Research Journal, Fibers and Polymers, Journal of Applied Polymer Science, International Journal of Clothing Science and Technology and Biomolecules & Therapeutics.

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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