Jun Tan

2.3k citations
82 papers · 1.6k · h-index 18

Impact in

Papers in

Jun Tan

72 papers receiving 1.5k citations

Peers

Jun Tan
Comparison fields: 5 of 60
  • Atomic and Molecular Physics, and Optics 1.2k
  • Nuclear and High Energy Physics 293
  • Mechanics of Materials 465
  • Radiation 146
  • Statistical and Nonlinear Physics 157
Replace G. Ferrante with:
G. Ferrante Italy
Aaron Bernstein United States
Morton A. Levine United States
O. O. Versolato Netherlands
M.F. Kimmitt United Kingdom
M. G. Boshier United States
W. Biel Germany
W. W. Smith United States
Alexander W. Chao United States
J. D. Sethian United States
Jun Tan relative to G. Ferrante Italy G. Ferrante's profile →
Citations per field
00.5×9.9×
G. Ferrante · 1×
Citations per year

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Tan. 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 Jun Tan. The network helps show where Jun Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002362
2 2002158
3 1998148
4 2008105
5 201358
6 200047
7 200546
8 201245
9 200241
10 200740
11 199138
12
UTA versus line emission for EUVL : studies on xenon emission at the NIST EBIT
200535
13 200935
14 200531
15 201625
16 200823
17 200723
18 201819
19 201917
20 199516

About Jun Tan

Jun Tan is a scholar working on Mechanical Engineering, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Statistical and Nonlinear Physics and Mechanics of Materials, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Thermodynamic Systems and Engines (33 papers), Atomic and Molecular Physics (24 papers), Advanced Thermodynamics and Statistical Mechanics (23 papers), Spacecraft and Cryogenic Technologies (22 papers), Refrigeration and Air Conditioning Technologies (12 papers), Laser-induced spectroscopy and plasma (10 papers), X-ray Spectroscopy and Fluorescence Analysis (7 papers) and Superconducting Materials and Applications (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.2k citations), Nuclear and High Energy Physics (293 citations), Mechanics of Materials (465 citations), Radiation (146 citations) and Statistical and Nonlinear Physics (157 citations). Jun Tan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include G. Gabrielse, Haizheng Dang, J. M. Pomeroy, J. D. Gillaspy, W. Oelert, Paul Oxley, E. A. Hessels, N. S. Bowden, D. Grzonka and Andrew Speck. Their work appears in journals such as Cryogenics, IEEE Transactions on Applied Superconductivity, Physical Review Letters, International Journal of Refrigeration and Journal of Physics B Atomic Molecular and Optical Physics.

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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