Dong‐il Cho

4.9k citations
272 papers · 3.6k · h-index 28

Impact in

Papers in

Dong‐il Cho

266 papers receiving 3.4k citations

Peers

Dong‐il Cho
Comparison fields: 5 of 149
  • Control and Systems Engineering 1.1k
  • Automotive Engineering 350
  • Fluid Flow and Transfer Processes 166
  • Gastroenterology 117
  • Biomedical Engineering 970
Replace Gürsel Alıcı with:
Gürsel Alıcı Australia
Marc P. Y. Desmulliez United Kingdom
Fumihito Arai Japan
Jaydev P. Desai United States
Sarthak Misra Netherlands
Tiantian Xu China
Alain Delchambre Belgium
Bobak Mosadegh United States
David L. Trumper United States
Xinyu Liu Canada
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Citations per field
00.5×3.6×
Gürsel Alıcı · 1×
Citations per year

Countries citing papers authored by Dong‐il Cho

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐il Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐il 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 Dong‐il Cho. The network helps show where Dong‐il Cho may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong‐il 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 Dong‐il Cho Line = papers co-authored together Dong‐il Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989258
2 1993190
3 1999123
4 1999104
5 201896
6 200492
7 201890
8 201688
9 200083
10 200879
11 200571
12
Endogenous interleukin-18 modulates immune escape of murine melanoma cells by regulating the expression of Fas ligand and reactive oxygen intermediates.
200069
13 198859
14 201257
15 200453
16 199547
17 200946
18 200346
19 200044
20 199244

About Dong‐il Cho

Dong‐il Cho is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 272 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (66 papers), Mechanical and Optical Resonators (33 papers), Neuroscience and Neural Engineering (30 papers), Iterative Learning Control Systems (28 papers), Robotics and Sensor-Based Localization (26 papers), Advanced Memory and Neural Computing (24 papers), Control Systems in Engineering (22 papers) and Acoustic Wave Resonator Technologies (19 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Automotive Engineering (350 citations), Fluid Flow and Transfer Processes (166 citations), Gastroenterology (117 citations) and Biomedical Engineering (970 citations). Dong‐il Cho has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include J. Karl Hedrick, Hyoungho Ko, Sang-Jun Park, Yoshihito Kato, Kyo-in Koo, Yongsoon Eun, Sang-Woo Lee, Jongpal Kim, Sangmin Lee and Sang-Hoon Lee. Their work appears in journals such as Sensors, Journal of Micromechanics and Microengineering, Journal of Microelectromechanical Systems, Sensors and Actuators A Physical and IEEE Access.

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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