Chee‐Keong Tan

113 total papers · 1.7k total citations
69 papers, 1.4k citations indexed

About

Chee‐Keong Tan is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Chee‐Keong Tan has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electronic, Optical and Magnetic Materials, 33 papers in Materials Chemistry and 31 papers in Condensed Matter Physics. Recurrent topics in Chee‐Keong Tan's work include Ga2O3 and related materials (39 papers), GaN-based semiconductor devices and materials (31 papers) and ZnO doping and properties (29 papers). Chee‐Keong Tan is often cited by papers focused on Ga2O3 and related materials (39 papers), GaN-based semiconductor devices and materials (31 papers) and ZnO doping and properties (29 papers). Chee‐Keong Tan collaborates with scholars based in United States, China and Hong Kong. Chee‐Keong Tan's co-authors include Nelson Tansu, Wei Sun, Weihua Tang, Daoyou Guo, David Mba, Guangyu Liu, Jing Zhang, Fengmin Wu, Steven J. Hoffman and Zeng Liu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Chee‐Keong Tan

65 papers receiving 1.3k citations

Hit Papers

Enhancing plasticity in o... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Chee‐Keong Tan 758 710 460 383 278 69 1.4k
Paul Dorsey 728 1.0× 897 1.3× 507 1.1× 357 0.9× 70 0.3× 61 1.4k
C. Ferrater 1.2k 1.5× 1.1k 1.6× 617 1.3× 471 1.2× 140 0.5× 88 1.8k
Nitul S. Rajput 665 0.9× 284 0.4× 275 0.6× 601 1.6× 257 0.9× 89 1.2k
Fengwen Mu 927 1.2× 509 0.7× 302 0.7× 961 2.5× 146 0.5× 77 1.6k
Chunlan Mo 470 0.6× 278 0.4× 553 1.2× 403 1.1× 102 0.4× 62 1.1k
Jack Zhang 934 1.2× 725 1.0× 313 0.7× 529 1.4× 90 0.3× 44 1.5k
Tao Tao 651 0.9× 450 0.6× 647 1.4× 556 1.5× 88 0.3× 134 1.5k
Hideo Aida 1.1k 1.4× 664 0.9× 263 0.6× 465 1.2× 313 1.1× 65 1.5k
M. Egilmez 564 0.7× 729 1.0× 592 1.3× 228 0.6× 122 0.4× 96 1.3k
Anna Semisalova 700 0.9× 624 0.9× 187 0.4× 321 0.8× 100 0.4× 64 1.4k

Countries citing papers authored by Chee‐Keong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chee‐Keong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee‐Keong 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 Chee‐Keong Tan. The network helps show where Chee‐Keong Tan may publish in the future.

Co-authorship network of co-authors of Chee‐Keong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chee‐Keong Tan. A scholar is included among the top collaborators of Chee‐Keong Tan 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 Chee‐Keong Tan. Chee‐Keong Tan 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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