B.K. Tsai

547 citations
31 papers · 378 · h-index 12

Impact in

Papers in

B.K. Tsai

31 papers receiving 355 citations

Peers

B.K. Tsai
Comparison fields: 5 of 51
  • Aerospace Engineering 212
  • Computational Mechanics 117
  • Statistics, Probability and Uncertainty 32
  • Biomedical Engineering 125
  • Applied Mathematics 23
Replace Vladimir B. Khromchenko with:
Vladimir B. Khromchenko United States
J. P. Hubner United States
Dmitry Alexeev Switzerland
Domenico Paladino Switzerland
R.M. Furzeland Netherlands
Lawrence Hand United States
Seung-Nam Park South Korea
Greg H. Evans United States
Vittorio Badalassi United States
B.K. Tsai relative to Vladimir B. Khromchenko United States Vladimir B. Khromchenko's profile →
Citations per field
00.5×3.3×
Vladimir B. Khromchenko · 1×
Citations per year

Countries citing papers authored by B.K. Tsai

Since Specialization
Citations

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

Fields of papers citing papers by B.K. Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.K. Tsai. 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 B.K. Tsai. The network helps show where B.K. Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200039
2 197637
3 200131
4 200531
5 199026
6 199825
7 200223
8 200221
9 199718
10 200114
11 199912
12 199511
13 20039
14 19988
15 20048
16 20047
17 19937
18 19986
19 19976
20 20066

About B.K. Tsai

B.K. Tsai is a scholar working on Aerospace Engineering, Biomedical Engineering, Mechanics of Materials, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 378 indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (27 papers), Advanced Sensor Technologies Research (16 papers), Thermography and Photoacoustic Techniques (10 papers), Radiative Heat Transfer Studies (8 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Thermal Radiation and Cooling Technologies (2 papers), Numerical methods in inverse problems (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Aerospace Engineering (212 citations), Computational Mechanics (117 citations), Statistics, Probability and Uncertainty (32 citations), Biomedical Engineering (125 citations) and Applied Mathematics (23 citations). B.K. Tsai has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dorothy DeWitt, R. D. Saunders, D. McIntyre, Yinchu Shen, Charles E. Gibson, Ping Lu, Bong Jae Lee, K.G. Kreider, Edward A. Early and Bettye C. Johnson. Their work appears in journals such as Journal of Research of the National Institute of Standards and Technology, Metrologia, Journal of Thermophysics and Heat Transfer, International Journal of Heat and Mass Transfer and Measurement.

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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