K.T. Vu

1.3k citations
15 papers · 1.1k · h-index 10

Impact in

    • Power System Optimization and Stability
    • Optimal Power Flow Distribution
    • Magnetic Field Sensors Techniques
    • Power Quality and Harmonics
    • Smart Grid and Power Systems
    • Advanced Electrical Measurement Techniques
    • Power Systems Fault Detection
    • Microgrid Control and Optimization

Papers in

K.T. Vu

14 papers receiving 983 citations

Peers

K.T. Vu
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 963
  • Control and Systems Engineering 166
  • Energy Engineering and Power Technology 7
  • Statistical and Nonlinear Physics 5
  • Media Technology 4
Replace S. Fasolo with:
S. Fasolo Italy
D.W. McNabb Canada
Weijing Du United States
Lorand Bede Denmark
Md. Parvez Akter Australia
Mo-Shing Chen United States
Muthana T. Alrifai Kuwait
Laurens Mackay Netherlands
Arunima Dutta India
T.J. Browne United States
K.T. Vu relative to S. Fasolo Italy S. Fasolo's profile →
Citations per field
00.5×2×4×6×8×10×
S. Fasolo · 1×
Citations per year

Countries citing papers authored by K.T. Vu

Since Specialization
Citations

This map shows the geographic impact of K.T. Vu'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 K.T. Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.T. Vu more than expected).

Fields of papers citing papers by K.T. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.T. Vu. 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 K.T. Vu. The network helps show where K.T. Vu may publish in the future.

Co-authors

The 16 scholars most cited alongside K.T. Vu, 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 K.T. Vu Line = papers co-authored together K.T. Vu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999395
2 2004118
3 1989109
4 198984
5 200263
6 200262
7 199256
8 199756
9 199252
10 199547
11 20027
12 20034
13 20033
14 20021
15 20030

About K.T. Vu

K.T. Vu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Power System Optimization and Stability (12 papers), Optimal Power Flow Distribution (1 paper), Advanced DC-DC Converters (1 paper), Power Systems Fault Detection (1 paper) and Magnetic Field Sensors Techniques (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (963 citations), Control and Systems Engineering (166 citations), Energy Engineering and Power Technology (7 citations), Statistical and Nonlinear Physics (5 citations) and Media Technology (4 citations). K.T. Vu has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Damir Novosel, Miroslav M. Begovic, Murari Mohan Saha, C.C. Liu, C.-C. Liu, Jiuping Pan, C.-C. Liu, Carson W. Taylor, Ian Dobson and Navin B. Bhatt. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Circuits and Devices Magazine, IEEE Transactions on Power Systems, Proceedings of the IEEE and IEEE Computer Applications in Power.

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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