Won-Ju Cho

3.4k citations
254 papers · 2.8k indexed · h-index 29

Won-Ju Cho

244 papers receiving 2.7k citations

Peers

Won-Ju Cho
Comparison fields: 5 of 95
  • Bioengineering 781
  • Electrical and Electronic Engineering 2.3k
  • Electrochemistry 183
  • Polymers and Plastics 337
  • Biomedical Engineering 683
Replace Minhee Yun with:
Minhee Yun United States
Steve Semancik United States
Chuanzhen Zhao United States
D. Tsoukalas Greece
Christopher B. Jacobs United States
Theodor Doll Germany
Jesse D. Fowler United States
Carlos César Bof Bufon Brazil
Khasan S. Karimov Pakistan
Won-Ju Cho relative to Minhee Yun United States Minhee Yun's profile →
Citations per field
00.5×1.5×2.3×
Minhee Yun · 1×
Citations per year

Countries citing papers authored by Won-Ju Cho

Since Specialization
Citations

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

Fields of papers citing papers by Won-Ju Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Ju Cho. 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-Ju Cho. The network helps show where Won-Ju Cho may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Won-Ju Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won-Ju Cho Line = papers co-authored together Won-Ju Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20245
4 20245
5 20246
6 20242
7 20241
8 20233
9 202113
10 202119
11 202114
12 20205
13 20204
14 201920
15 20186
16 201412
17
Timbral Analysis of Jing by its Harmonic Structure
20110
18
Fabrication of p-type FinFETs with a 20 nm Gate Length using Boron Solid Phase Diffusion Process
20061
19
Characterizations of Interface-state Density between Top Silicon and Buried Oxide on Nano-SOI Substrate by using Pseudo-MOSFETs
200511
20
Defect-free ultra-shallow source/drain extension using spin-on-dopants for deep submicron SOI MOSFET applications
20044

About Won-Ju Cho

Won-Ju Cho is a scholar working on Bioengineering, Electrical and Electronic Engineering and Polymers and Plastics, having authored 254 papers that have together received 2.8k indexed citations. Recurring topics across this work include Semiconductor materials and devices (112 papers), Advanced Memory and Neural Computing (72 papers), Thin-Film Transistor Technologies (66 papers), Analytical Chemistry and Sensors (61 papers), Advancements in Semiconductor Devices and Circuit Design (52 papers), Nanowire Synthesis and Applications (35 papers), Neuroscience and Neural Engineering (28 papers) and Transition Metal Oxide Nanomaterials (27 papers). The work is most often cited by research in Bioengineering (781 citations), Electrical and Electronic Engineering (2.3k citations) and Electrochemistry (183 citations). Won-Ju Cho has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyun‐June Jang, Jong‐Heon Yang, Ryoji Kosugi, Seiji Suzuki, Hamin Park, Jong Tae Park, Kenji Fukuda, Seongjae Lee, Junji Senzaki and Dong Uk Lee. Their work appears in journals such as Applied Physics Letters, Japanese Journal of Applied Physics, Journal of Nanoscience and Nanotechnology, Solid-State Electronics and IEEE Electron Device Letters.

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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