Chueh‐Yu Wu

32 total papers · 997 total citations
20 papers, 828 citations indexed

About

Chueh‐Yu Wu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Chueh‐Yu Wu has authored 20 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 3 papers in Bioengineering. Recurrent topics in Chueh‐Yu Wu's work include Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Chueh‐Yu Wu is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Chueh‐Yu Wu collaborates with scholars based in United States, Taiwan and South Korea. Chueh‐Yu Wu's co-authors include Yi‐Chung Tung, Dino Di Carlo, Wei‐Hao Liao, Keegan Owsley, Chien‐Chung Peng, Andrew King, Jin‐Young Lee, Wonhye Lee, Sanghee Nam and Baskar Ganapathysubramanian and has published in prestigious journals such as Advanced Materials, Science Advances and Lab on a Chip.

In The Last Decade

Chueh‐Yu Wu

19 papers receiving 818 citations

Author Peers

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

Author Last Decade Papers Cites
Chueh‐Yu Wu 720 167 83 48 48 20 828
Robert D. Lovchik 808 1.1× 281 1.7× 166 2.0× 34 0.7× 31 0.6× 33 1.0k
Ieong Wong 437 0.6× 97 0.6× 117 1.4× 19 0.4× 54 1.1× 18 753
Maciej Skolimowski 553 0.8× 135 0.8× 117 1.4× 61 1.3× 65 1.4× 25 714
Alwin M. D. Wan 635 0.9× 177 1.1× 67 0.8× 52 1.1× 25 0.5× 11 807
Michael Bucaro 435 0.6× 162 1.0× 116 1.4× 29 0.6× 146 3.0× 16 794
Giuseppina Simone 757 1.1× 247 1.5× 200 2.4× 57 1.2× 51 1.1× 53 984
Mohsen Janmaleki 607 0.8× 160 1.0× 167 2.0× 43 0.9× 131 2.7× 36 1.0k
Tommaso Bersano‐Begey 670 0.9× 138 0.8× 94 1.1× 40 0.8× 11 0.2× 15 816
Samuel P. Forry 469 0.7× 161 1.0× 246 3.0× 85 1.8× 108 2.3× 27 791
Jonathan Coppeta 482 0.7× 119 0.7× 104 1.3× 22 0.5× 61 1.3× 23 770

Countries citing papers authored by Chueh‐Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chueh‐Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chueh‐Yu Wu. 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 Chueh‐Yu Wu. The network helps show where Chueh‐Yu Wu may publish in the future.

Co-authorship network of co-authors of Chueh‐Yu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chueh‐Yu Wu. A scholar is included among the top collaborators of Chueh‐Yu Wu 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 Chueh‐Yu Wu. Chueh‐Yu Wu 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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