Chan Hoe Ku

16 total papers · 440 total citations
11 papers, 381 citations indexed

About

Chan Hoe Ku is a scholar working on Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Chan Hoe Ku has authored 11 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Chan Hoe Ku's work include Organic Electronics and Photovoltaics (11 papers), Thin-Film Transistor Technologies (9 papers) and Advanced Memory and Neural Computing (8 papers). Chan Hoe Ku is often cited by papers focused on Organic Electronics and Photovoltaics (11 papers), Thin-Film Transistor Technologies (9 papers) and Advanced Memory and Neural Computing (8 papers). Chan Hoe Ku collaborates with scholars based in South Korea. Chan Hoe Ku's co-authors include Jae Bon Koo, Sang Chul Lim, Seong Hyun Kim, Taehyoung Zyung, Seong Hyun Kim, Yong Suk Yang, Jung Wook Lim, Jung Hun Lee, Sun Jin Yun and Yoon‐Ho Song and has published in prestigious journals such as Applied Physics Letters, Thin Solid Films and Synthetic Metals.

In The Last Decade

Chan Hoe Ku

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
Chan Hoe Ku 368 77 75 48 14 11 381
Sang Yoon Yang 399 1.1× 86 1.1× 94 1.3× 50 1.0× 16 1.1× 8 419
M. L. Chabinyc 349 0.9× 77 1.0× 134 1.8× 57 1.2× 14 1.0× 8 380
Arne Hoppe 366 1.0× 145 1.9× 72 1.0× 55 1.1× 7 0.5× 11 386
Fengzhe Cui 400 1.1× 50 0.6× 305 4.1× 38 0.8× 12 0.9× 14 427
Jiecong Tang 359 1.0× 71 0.9× 265 3.5× 86 1.8× 12 0.9× 10 415
F. Endicott 363 1.0× 111 1.4× 172 2.3× 28 0.6× 25 1.8× 14 390
Yichu Zheng 390 1.1× 74 1.0× 156 2.1× 145 3.0× 12 0.9× 19 420
Hsuan-Chun Chang 303 0.8× 73 0.9× 152 2.0× 109 2.3× 24 1.7× 12 370
Chun‐Jen Shih 310 0.8× 40 0.5× 104 1.4× 187 3.9× 10 0.7× 15 363
Yunhao Cao 277 0.8× 58 0.8× 150 2.0× 127 2.6× 30 2.1× 21 352

Countries citing papers authored by Chan Hoe Ku

Since Specialization
Citations

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

Fields of papers citing papers by Chan Hoe Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Hoe Ku. 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 Chan Hoe Ku. The network helps show where Chan Hoe Ku may publish in the future.

Co-authorship network of co-authors of Chan Hoe Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Hoe Ku. A scholar is included among the top collaborators of Chan Hoe Ku 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 Chan Hoe Ku. Chan Hoe Ku 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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