Won‐Shik Chu

3.2k total citations
80 papers, 2.6k citations indexed

About

Won‐Shik Chu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Won‐Shik Chu has authored 80 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 21 papers in Electrical and Electronic Engineering and 16 papers in Automotive Engineering. Recurrent topics in Won‐Shik Chu's work include Additive Manufacturing and 3D Printing Technologies (16 papers), Gas Sensing Nanomaterials and Sensors (15 papers) and Transition Metal Oxide Nanomaterials (14 papers). Won‐Shik Chu is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (16 papers), Gas Sensing Nanomaterials and Sensors (15 papers) and Transition Metal Oxide Nanomaterials (14 papers). Won‐Shik Chu collaborates with scholars based in South Korea, Germany and United States. Won‐Shik Chu's co-authors include Sung‐Hoon Ahn, Sung-Hyuk Song, Hyungsoo Kim, Jang-Yeob Lee, Min‐Soo Kim, Kyu‐Jin Cho, Doo‐Man Chun, Hugo Rodrigue, Caroline Sunyong Lee and Min‐Woo Han and has published in prestigious journals such as Sensors and Actuators B Chemical, Energy and Buildings and Applied Surface Science.

In The Last Decade

Won‐Shik Chu

75 papers receiving 2.5k citations

Peers

Won‐Shik Chu
Comparison fields: 5 of 125
  • Biomedical Engineering 1.0k
  • Mechanical Engineering 941
  • Electrical and Electronic Engineering 595
  • Materials Chemistry 457
  • Automotive Engineering 407
Replace Na Lü with:
Na Lü United States
Tuan Tran Singapore
Shuai Huang China
R. Pitchumani United States
K.C. Yung Hong Kong
Rehan Umer United Arab Emirates
Haihong Huang China
Mokarram Hossain United Kingdom
Shweta Agarwala United States
Xuan Zhang China
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Citations per field, relative to Won‐Shik Chu
Won‐Shik Chu · 1×
Citations per year, relative to Won‐Shik Chu
Won‐Shik Chu · 1×

Countries citing papers authored by Won‐Shik Chu

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Shik Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Shik Chu. 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 Won‐Shik Chu. The network helps show where Won‐Shik Chu may publish in the future.

Co-authorship network of co-authors of Won‐Shik Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Shik Chu. A scholar is included among the top collaborators of Won‐Shik Chu 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 Won‐Shik Chu. Won‐Shik Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 13
4 3
5 0
6 21
7 6
8 11
9 10
10 89
11 55
12 201
13 31
14 38
15
Fabrication of Composite Drug Delivery System Using Nano Composite Deposition System and in vivo Characterization
13
16 3
17
Micro/Nano Fabrication Technique in Drug Delivery System(DDS)
3
18 3
19 2
20 14

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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