Yan-Jun Tan

24 papers receiving 1.2k citations

Peers

Yan-Jun Tan
Comparison fields: 5 of 75
  • Nuclear Energy and Engineering 19
  • Electronic, Optical and Magnetic Materials 646
  • Polymers and Plastics 451
  • Aerospace Engineering 362
  • Biomedical Engineering 545
Replace Jie‐Hua Cai with:
Jie‐Hua Cai China
Xinghua Hong China
Krishnendu Nath India
Lihua Zou China
Tian‐Ning Yue China
Chang-Ge Zhou China
Xiaodong Xia China
Siyi Bi China
Rahim Jan Pakistan
Ming‐Lu Huang China
Yan-Jun Tan relative to Jie‐Hua Cai China Jie‐Hua Cai's profile →
Citations per field
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Jie‐Hua Cai · 1×
Citations per year

Countries citing papers authored by Yan-Jun Tan

Since Specialization
Citations

This map shows the geographic impact of Yan-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 Yan-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 Yan-Jun Tan more than expected).

Fields of papers citing papers by Yan-Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan-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 Yan-Jun Tan Line = papers co-authored together Yan-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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017210
2 2018179
3 2018138
4 201890
5 201981
6 201981
7 202071
8 201866
9 201957
10 201745
11 202234
12 201934
13 201929
14 201817
15 202316
16 202315
17 201913
18 201912
19 201910
20 201910

About Yan-Jun Tan

Yan-Jun Tan is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Aerospace Engineering and Speech and Hearing, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Conducting polymers and applications (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Electromagnetic wave absorption materials (8 papers), Advanced Antenna and Metasurface Technologies (4 papers), Supercapacitor Materials and Fabrication (3 papers), Dielectric materials and actuators (2 papers), Natural Fiber Reinforced Composites (2 papers) and Carbon Nanotubes in Composites (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (19 citations), Electronic, Optical and Magnetic Materials (646 citations), Polymers and Plastics (451 citations), Aerospace Engineering (362 citations) and Biomedical Engineering (545 citations). Yan-Jun Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming Wang, Jie Li, Yi‐Fu Chen, Shaoyun Guo, Xiaohong Tang, Yu‐Dong Shi, Jie‐Hua Cai, Yuan Gao, Jiang Li and Jie Li. Their work appears in journals such as Applied Surface Science, Composites Science and Technology, Polymer Testing, Composites Part A Applied Science and Manufacturing and Chemical Engineering Journal.

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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