Kun‐Dar Li

23 papers receiving 335 citations

Peers

Kun‐Dar Li
Comparison fields: 5 of 49
  • Computational Mechanics 123
  • Structural Biology 7
  • Polymers and Plastics 55
  • Materials Chemistry 176
  • Electrical and Electronic Engineering 137
Replace P.J. Meadows with:
P.J. Meadows United Kingdom
Yaya Lefkir France
Z.J. Hu China
S.K. Samudrala Australia
Negin Beryani Nezafat Iran
С.В. Дукаров Ukraine
Hyunchul Jang South Korea
В. А. Казаков Russia
С.И. Петрушенко Ukraine
Artur Wiatrowski Poland
Kun‐Dar Li relative to P.J. Meadows United Kingdom P.J. Meadows's profile →
Citations per field
00.5×4.6×
P.J. Meadows · 1×
Citations per year

Countries citing papers authored by Kun‐Dar Li

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Dar Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Dar Li. 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 Kun‐Dar Li. The network helps show where Kun‐Dar Li may publish in the future.

Co-authors

The 17 scholars most cited alongside Kun‐Dar Li, 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 Kun‐Dar Li Line = papers co-authored together Kun‐Dar Li 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 201291
2 200870
3 200955
4 200345
5 201319
6 200916
7 20088
8 20176
9 20024
10 20134
11 20094
12 20163
13 20183
14 20152
15 20152
16 20112
17 20132
18 20172
19 20251
20 20211

About Kun‐Dar Li

Kun‐Dar Li is a scholar working on Materials Chemistry, Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 24 papers that have together received 344 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (7 papers), Aluminum Alloy Microstructure Properties (4 papers), Nonlinear Optical Materials Studies (3 papers), Solidification and crystal growth phenomena (3 papers), nanoparticles nucleation surface interactions (3 papers), Transition Metal Oxide Nanomaterials (2 papers), Metal and Thin Film Mechanics (2 papers) and ZnO doping and properties (2 papers). The work is most often cited by research in Computational Mechanics (123 citations), Structural Biology (7 citations), Polymers and Plastics (55 citations), Materials Chemistry (176 citations) and Electrical and Electronic Engineering (137 citations). Kun‐Dar Li has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Lay Gaik Teoh, Lumin Wang, Qiangmin Wei, Edward F. Chang, Jie Lian, Yanbin Chen, Qi‐Huo Wei, Xiuli Zhou, Kai Sun and Weihua Lu. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Journal of Physics D Applied Physics, MATERIALS TRANSACTIONS, Journal of Electronic Materials and AIP Advances.

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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