Yeong Koo Yeo

745 total citations
26 papers, 374 citations indexed

About

Yeong Koo Yeo is a scholar working on Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yeong Koo Yeo has authored 26 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 11 papers in Control and Systems Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yeong Koo Yeo's work include Fault Detection and Control Systems (5 papers), Advanced Control Systems Optimization (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Yeong Koo Yeo is often cited by papers focused on Fault Detection and Control Systems (5 papers), Advanced Control Systems Optimization (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Yeong Koo Yeo collaborates with scholars based in South Korea and Pakistan. Yeong Koo Yeo's co-authors include Faisal Ahmed, Hyung Keun Song, Salman Nazir, Tae Young Kim, Eun‐Ho Lee, Jin Kim, Beom Seok Kim, Michael Binns, Jung‐Hyun Lee and S. Lee and has published in prestigious journals such as Journal of Membrane Science, Energy and International Journal of Energy Research.

In The Last Decade

Yeong Koo Yeo

25 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yeong Koo Yeo South Korea 12 154 145 75 69 68 26 374
A.I. Lygeros Greece 12 133 0.9× 141 1.0× 127 1.7× 52 0.8× 35 0.5× 19 495
Paisan Kittisupakorn Thailand 13 98 0.6× 332 2.3× 76 1.0× 27 0.4× 35 0.5× 53 558
Mansour Shirvani Iran 12 163 1.1× 89 0.6× 198 2.6× 26 0.4× 69 1.0× 45 477
Adilson José de Assis Brazil 9 104 0.7× 168 1.2× 68 0.9× 27 0.4× 17 0.3× 19 431
Masaru Noda Japan 12 143 0.9× 215 1.5× 109 1.5× 15 0.2× 56 0.8× 58 517
Jafar Sadeghi Iran 10 125 0.8× 198 1.4× 40 0.5× 16 0.2× 21 0.3× 37 389
Seokyoung Hong South Korea 7 106 0.7× 121 0.8× 30 0.4× 15 0.2× 47 0.7× 15 334
Mohammad Fakhroleslam Iran 10 153 1.0× 93 0.6× 96 1.3× 30 0.4× 26 0.4× 31 411
Xiaotian Bi China 7 164 1.1× 198 1.4× 72 1.0× 19 0.3× 51 0.8× 8 352

Countries citing papers authored by Yeong Koo Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Yeong Koo Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong Koo Yeo. 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 Yeong Koo Yeo. The network helps show where Yeong Koo Yeo may publish in the future.

Co-authorship network of co-authors of Yeong Koo Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Yeong Koo Yeo. A scholar is included among the top collaborators of Yeong Koo Yeo 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 Yeong Koo Yeo. Yeong Koo Yeo 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
1.
Yeo, Yeong Koo, et al.. (2021). A New Fracture Analysis Technique for Charpy Impact Test Using Image Processing. Korean Journal of Metals and Materials. 59(1). 61–66. 6 indexed citations
2.
Yeo, Yeong Koo. (2020). Chemical Engineering Computation with MATLAB®. 8 indexed citations
3.
Kim, Beom Seok, et al.. (2020). Estimation of basis weight, ash content and moisture content in papermaking plants: A comparative study. Korean Journal of Chemical Engineering. 37(7). 1107–1115. 1 indexed citations
4.
Kim, Beom Seok, et al.. (2018). Comparative Study of Estimation Methods of the Endpoint Temperature in Basic Oxygen Furnace Steelmaking Process with Selection of Input Parameters. Korean Journal of Metals and Materials. 56(11). 813–821. 11 indexed citations
5.
Kim, Tae Young, et al.. (2018). Development of Predictive Model based Control Scheme for a Molten Carbonate Fuel Cell (MCFC) Process. International Journal of Control Automation and Systems. 16(2). 791–803. 9 indexed citations
7.
Ahmed, Faisal, et al.. (2015). A real-time model based on least squares support vector machines and output bias update for the prediction of NO x emission from coal-fired power plant. Korean Journal of Chemical Engineering. 32(6). 1029–1036. 35 indexed citations
8.
Binns, Michael, et al.. (2015). Strategies for the simulation of multi-component hollow fibre multi-stage membrane gas separation systems. Journal of Membrane Science. 497. 458–471. 27 indexed citations
9.
Jo, Byung-Wan, et al.. (2011). Assessment of three forecasting methods for system marginal prices. Korean Journal of Chemical Engineering. 28(6). 1331–1339. 2 indexed citations
10.
Han, Sang Hoon, et al.. (2010). Modeling and control of CO2 separation process with hollow fiber membrane modules. Korean Journal of Chemical Engineering. 28(1). 41–48. 11 indexed citations
11.
Kim, Tae Young, et al.. (2010). Prediction of the melt flow index using partial least squares and support vector regression in high-density polyethylene (HDPE) process. Korean Journal of Chemical Engineering. 27(6). 1662–1668. 18 indexed citations
12.
Yeo, Yeong Koo, et al.. (2010). Optimal operation of the integrated district heating system with multiple regional branches. Korean Journal of Chemical Engineering. 27(1). 6–18. 10 indexed citations
13.
Yeo, Yeong Koo, et al.. (2009). Optimization of the heat plant of district energy systems. Korean Journal of Chemical Engineering. 26(4). 955–962. 1 indexed citations
14.
Yeo, Yeong Koo, et al.. (2009). Optimization of district heating systems based on the demand forecast in the capital region. Korean Journal of Chemical Engineering. 26(6). 1484–1496. 8 indexed citations
15.
Lee, Eun‐Ho, Tae Young Kim, & Yeong Koo Yeo. (2008). Prediction and quality control of the melt index during production of high-density polyethylene. Korean Journal of Chemical Engineering. 25(4). 613–622. 17 indexed citations
16.
Lee, Eun‐Ho, Tae Young Kim, & Yeong Koo Yeo. (2007). Prediction of the Melt Index in a High-Density Polyethylene Process. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 40(10). 840–846. 9 indexed citations
17.
Yeo, Yeong Koo, et al.. (2003). Equipment selection for the optimal system unavailability of jacketed reactors with discrete cost data. Journal of Loss Prevention in the Process Industries. 16(5). 443–448. 2 indexed citations
18.
Yeo, Yeong Koo, et al.. (2003). Optimal operation of utility systems in petrochemical plants. Korean Journal of Chemical Engineering. 20(2). 200–206. 10 indexed citations
19.
Yeo, Yeong Koo, et al.. (2001). Operating strategies and optimum feed tray locations of the fractionation unit of BTX plants for energy conservation. Korean Journal of Chemical Engineering. 18(4). 428–431. 7 indexed citations
20.
Yeo, Yeong Koo, et al.. (1992). Chemical heat pump based on dehydrogenation and hydrogenation ofi-propanol and acetone. International Journal of Energy Research. 16(9). 897–916. 48 indexed citations

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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