Kung‐Ching Liao

49 total papers · 860 total citations
26 papers, 766 citations indexed

About

Kung‐Ching Liao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kung‐Ching Liao has authored 26 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kung‐Ching Liao's work include Molecular Junctions and Nanostructures (20 papers), Semiconductor materials and devices (9 papers) and Quantum Dots Synthesis And Properties (6 papers). Kung‐Ching Liao is often cited by papers focused on Molecular Junctions and Nanostructures (20 papers), Semiconductor materials and devices (9 papers) and Quantum Dots Synthesis And Properties (6 papers). Kung‐Ching Liao collaborates with scholars based in United States, Germany and Taiwan. Kung‐Ching Liao's co-authors include George M. Whitesides, Carleen M. Bowers, Hyo Jae Yoon, Mostafa Baghbanzadeh, Felice C. Simeone, Jeffrey Schwartz, Teh‐Chang Chou, Dmitrij Rappoport, Sen Wai Kwok and Matthew R. Lockett and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Kung‐Ching Liao

25 papers receiving 761 citations

Author Peers

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

Author Last Decade Papers Cites
Kung‐Ching Liao 649 281 196 163 85 26 766
Austen K. Flatt 627 1.0× 372 1.3× 196 1.0× 193 1.2× 87 1.0× 14 821
Songjun Hou 575 0.9× 324 1.2× 236 1.2× 168 1.0× 45 0.5× 36 753
Haijun Yan 559 0.9× 316 1.1× 215 1.1× 177 1.1× 82 1.0× 47 887
Rukkiat Jitchati 533 0.8× 208 0.7× 184 0.9× 99 0.6× 56 0.7× 26 633
Hirofumi Hokari 485 0.7× 297 1.1× 165 0.8× 163 1.0× 46 0.5× 18 643
Francisco Maya 629 1.0× 334 1.2× 173 0.9× 192 1.2× 113 1.3× 13 836
Qingqing Wu 658 1.0× 398 1.4× 267 1.4× 187 1.1× 59 0.7× 49 894
Fabrizio Cattaruzza 432 0.7× 326 1.2× 116 0.6× 147 0.9× 70 0.8× 28 716
G. Gavrila 496 0.8× 279 1.0× 228 1.2× 113 0.7× 114 1.3× 24 772
Gregor Kladnik 429 0.7× 315 1.1× 200 1.0× 211 1.3× 77 0.9× 36 784

Countries citing papers authored by Kung‐Ching Liao

Since Specialization
Citations

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

Fields of papers citing papers by Kung‐Ching Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kung‐Ching Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Kung‐Ching Liao. A scholar is included among the top collaborators of Kung‐Ching Liao 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‐Ching Liao. Kung‐Ching Liao 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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