Insoon Yang

75 papers receiving 1.2k citations

Peers

Insoon Yang
Comparison fields: 5 of 99
  • Industrial and Manufacturing Engineering 164
  • Management Science and Operations Research 202
  • Statistics, Probability and Uncertainty 89
  • Control and Systems Engineering 257
  • Electrical and Electronic Engineering 459
Replace Veronica Piccialli with:
Veronica Piccialli Italy
Kuo-Hao Chang Taiwan
Li Xia China
Michaël Poss France
An Zhang China
Dong‐Hee Lee South Korea
Zhenkun Wang China
J.E. Rooda Netherlands
Tianjun Liao China
Alessandro Birolini Switzerland
Insoon Yang relative to Veronica Piccialli Italy Veronica Piccialli's profile →
Citations per field
00.5×1.5×2.4×
Veronica Piccialli · 1×
Citations per year

Countries citing papers authored by Insoon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Insoon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Insoon Yang. 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 Insoon Yang. The network helps show where Insoon Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018229
2 199793
3 200973
4 202071
5 201968
6 202048
7 201744
8 202141
9 201940
10 201833
11 201731
12 200228
13 200222
14 199620
15 200219
16 200217
17 202215
18 200315
19 202215
20 202213

About Insoon Yang

Insoon Yang is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semiconductor materials and devices (15 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers), Risk and Portfolio Optimization (14 papers), Advanced Control Systems Optimization (11 papers), Smart Grid Energy Management (11 papers), Probabilistic and Robust Engineering Design (8 papers), Reinforcement Learning in Robotics (8 papers) and Electric Power System Optimization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (164 citations), Management Science and Operations Research (202 citations), Statistics, Probability and Uncertainty (89 citations), Control and Systems Engineering (257 citations) and Electrical and Electronic Engineering (459 citations). Insoon Yang has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Xinlin Wang, D.A. Antoniadis, Anantha P. Chandrakasan, Carlin Vieri, Sung‐Hoon Ahn, Min Soo Park, Chong Nam Chu, Claire J. Tomlin, Dong-Hyeon Kim and Ying‐Jun Quan. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Control Systems Letters, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics and SIAM Journal on Control and Optimization.

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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