Jay H. Kim

24 papers receiving 1.5k citations

Jay H. Kim's Hit Papers

A carbon nanotube strain sensor for structural health monitoring 2006 · 821 citations
8210+6+13Years since publication250500750

Peers

Jay H. Kim
Comparison fields: 5 of 114
  • Nuclear Energy and Engineering 27
  • Pollution 385
  • Polymers and Plastics 323
  • Bioengineering 100
  • Biomedical Engineering 646
Replace Stephen Taylor with:
Stephen Taylor United Kingdom
Gengying Li China
Sang-Eui Lee South Korea
Jong Hwa Kwon South Korea
J. G. Rocha Portugal
Hongyu Gong China
Bing Deng China
Jonathan R. Wood United Kingdom
Roger J. Morgan United States
Roberto Guzmán de Villoria United States
Jay H. Kim relative to Stephen Taylor United Kingdom Stephen Taylor's profile →
Citations per field
00.5×5.3×
Stephen Taylor · 1×
Citations per year

Countries citing papers authored by Jay H. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jay H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A carbon nanotube strain sensor for structural health monitoring
Hit paper breakdown →
2006821
2 2006309
3 199489
4 200147
5 200245
6 201142
7 199340
8 199537
9 199530
10 200419
11 199317
12 201015
13 199415
14 199414
15 199410
16 20099
17 19958
18 20078
19 20097
20 19937

About Jay H. Kim

Jay H. Kim is a scholar working on Surgery, Civil and Structural Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (4 papers), Cardiac and Coronary Surgery Techniques (3 papers), Structural Health Monitoring Techniques (3 papers), Bladed Disk Vibration Dynamics (2 papers), Hormonal and reproductive studies (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Effects of Vibration on Health (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (27 citations), Pollution (385 citations), Polymers and Plastics (323 citations), Bioengineering (100 citations) and Biomedical Engineering (646 citations). Jay H. Kim has collaborated with scholars based in United States, Norway and South Korea. Frequent co-authors include Donglu Shi, Inpil Kang, Vesselin Shanov, Mark J. Schulz, Mark G. Davies, Culley C. Carson, Einar Svendsen, Michael L. Klyachkin, Per-Otto Hagen and Srinivas Subramaniam. Their work appears in journals such as Journal of Sound and Vibration, Journal of Surgical Research, The Journal of Urology, International Journal of Radiation Oncology*Biology*Physics and The Journal of the Acoustical Society of America.

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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