Kung Linliu

452 total citations
18 papers, 382 citations indexed

About

Kung Linliu is a scholar working on Polymers and Plastics, Materials Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Kung Linliu has authored 18 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Polymers and Plastics, 7 papers in Materials Chemistry and 4 papers in Fluid Flow and Transfer Processes. Recurrent topics in Kung Linliu's work include Polymer crystallization and properties (5 papers), Polymer composites and self-healing (4 papers) and Polymer Nanocomposites and Properties (4 papers). Kung Linliu is often cited by papers focused on Polymer crystallization and properties (5 papers), Polymer composites and self-healing (4 papers) and Polymer Nanocomposites and Properties (4 papers). Kung Linliu collaborates with scholars based in United States, Taiwan and Japan. Kung Linliu's co-authors include Benjamin Chu, T. Leon Yu, Tong Gao, Yingjie Li, Jian Liu, C. R. Desper, Tsang‐Lang Lin, S. L. Chang, Yingjie Li and Qicong Ying and has published in prestigious journals such as Physical Review Letters, Macromolecules and Polymer.

In The Last Decade

Kung Linliu

18 papers receiving 363 citations

Peers

Kung Linliu
Comparison fields: 5 of 64
  • Polymers and Plastics 254
  • Materials Chemistry 117
  • Organic Chemistry 80
  • Biomaterials 49
  • Biomedical Engineering 48
Replace R. Godehardt with:
R. Godehardt Germany
Kazuki Mita Japan
Michael J. Elwell United Kingdom
M. F. Tse United States
Amy A. Lefebvre United States
Warren P. Steckle United States
G. Ley Germany
Vassilios Galiatsatos United States
George Czornyj United States
Zhongqiang Xiong China
R. Godehardt Germany View profile →
Citations per field, relative to Kung Linliu
Kung Linliu · 1×
Citations per year, relative to Kung Linliu
Kung Linliu · 1×

Countries citing papers authored by Kung Linliu

Since Specialization
Citations

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

Fields of papers citing papers by Kung Linliu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kung Linliu

This figure shows the co-authorship network connecting the top 25 collaborators of Kung Linliu. A scholar is included among the top collaborators of Kung Linliu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kung Linliu. Kung Linliu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 18
2 1
3 43
4 7
5 58
6 1
7 24
8 11
9 10
10 9
11 3
12 45
13 9
14 5
15 13
16 10
17 109
18 6

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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2026