Shih-Kai Chien

15 total papers · 447 total citations
11 papers, 386 citations indexed

About

Shih-Kai Chien is a scholar working on Materials Chemistry, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Shih-Kai Chien has authored 11 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Mechanical Engineering and 2 papers in Computational Mechanics. Recurrent topics in Shih-Kai Chien's work include Graphene research and applications (5 papers), Thermal properties of materials (4 papers) and Carbon Nanotubes in Composites (3 papers). Shih-Kai Chien is often cited by papers focused on Graphene research and applications (5 papers), Thermal properties of materials (4 papers) and Carbon Nanotubes in Composites (3 papers). Shih-Kai Chien collaborates with scholars based in Taiwan. Shih-Kai Chien's co-authors include Yue-Tzu Yang, Cha’o-Kuang Chen, Yu‐Jen Shih, Syu-Ruei Jhang, Yuan‐Chung Lin, Cha’o-Kuang Chen, Yue-Tzu Yang, Sun‐Mou Lai, Chi‐Hsiang Huang and Shijie Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Carbon.

In The Last Decade

Shih-Kai Chien

11 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shih-Kai Chien 234 118 76 70 69 11 386
Qiangqiang Liao 194 0.8× 69 0.6× 207 2.7× 104 1.5× 24 0.3× 15 404
Yubin Qiu 249 1.1× 73 0.6× 173 2.3× 69 1.0× 10 0.1× 9 360
S. Jeanjaquet 310 1.3× 49 0.4× 50 0.7× 142 2.0× 14 0.2× 13 353
P. Marcus 300 1.3× 102 0.9× 67 0.9× 74 1.1× 6 0.1× 14 408
Hesham T.M. Abdel-Fatah 306 1.3× 19 0.2× 34 0.4× 215 3.1× 31 0.4× 12 388
D. Durand 98 0.4× 177 1.5× 45 0.6× 32 0.5× 28 0.4× 12 435
J. Walton 221 0.9× 115 1.0× 30 0.4× 83 1.2× 7 0.1× 8 347
Ruilu Liang 68 0.3× 54 0.5× 52 0.7× 14 0.2× 39 0.6× 13 373
Sabih Qamar 276 1.2× 30 0.3× 111 1.5× 101 1.4× 8 0.1× 21 436
D. M. Y. Lai 123 0.5× 42 0.4× 68 0.9× 128 1.8× 8 0.1× 11 354

Countries citing papers authored by Shih-Kai Chien

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Kai Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Kai Chien. 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 Shih-Kai Chien. The network helps show where Shih-Kai Chien may publish in the future.

Co-authorship network of co-authors of Shih-Kai Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Kai Chien. A scholar is included among the top collaborators of Shih-Kai Chien 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 Shih-Kai Chien. Shih-Kai Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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