Kai Huang

108 total papers · 2.2k total citations
88 papers, 1.7k citations indexed

About

Kai Huang is a scholar working on Materials Chemistry, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Kai Huang has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 33 papers in Condensed Matter Physics and 31 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Kai Huang's work include GaN-based semiconductor devices and materials (33 papers), Ga2O3 and related materials (24 papers) and ZnO doping and properties (23 papers). Kai Huang is often cited by papers focused on GaN-based semiconductor devices and materials (33 papers), Ga2O3 and related materials (24 papers) and ZnO doping and properties (23 papers). Kai Huang collaborates with scholars based in China, Taiwan and United States. Kai Huang's co-authors include Junyong Kang, Jinchai Li, Feng Yang, Qingtao Pan, Shuping Li, Shibing Ni, Na Gao, Deyan He, Xiucheng Wei and Yang Xu and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Huang

83 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Kai Huang 727 725 474 405 336 88 1.7k
Chong Geng 928 1.3× 1.0k 1.4× 352 0.7× 404 1.0× 400 1.2× 97 1.7k
In‐Bo Shim 429 0.6× 1.2k 1.7× 742 1.6× 144 0.4× 352 1.0× 94 2.1k
S.V. Subramanyam 433 0.6× 913 1.3× 788 1.7× 513 1.3× 266 0.8× 154 2.2k
Lin Chen 595 0.8× 1.1k 1.5× 753 1.6× 341 0.8× 229 0.7× 143 2.3k
O. Contreras 746 1.0× 897 1.2× 431 0.9× 436 1.1× 267 0.8× 94 1.6k
Yanfei Wu 1.0k 1.4× 660 0.9× 355 0.7× 67 0.2× 255 0.8× 63 1.7k
Xifeng Yang 702 1.0× 1.1k 1.5× 187 0.4× 137 0.3× 239 0.7× 145 1.9k
Yan Zhu 631 0.9× 1.1k 1.5× 781 1.6× 393 1.0× 129 0.4× 145 2.0k
Xingcai Wu 820 1.1× 1.3k 1.8× 311 0.7× 137 0.3× 285 0.8× 75 2.0k
C. T. Sousa 458 0.6× 1.3k 1.9× 489 1.0× 149 0.4× 538 1.6× 85 2.2k

Countries citing papers authored by Kai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Huang. A scholar is included among the top collaborators of Kai Huang 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 Kai Huang. Kai Huang 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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