Khoi Vu

632 citations
11 papers · 492 · h-index 9

Impact in

Papers in

Khoi Vu

11 papers receiving 456 citations

Peers

Khoi Vu
Comparison fields: 5 of 33
  • Control and Systems Engineering 373
  • Electrical and Electronic Engineering 470
  • Energy Engineering and Power Technology 22
  • Safety, Risk, Reliability and Quality 53
  • Automotive Engineering 12
Replace Daniel A. Haughton with:
Daniel A. Haughton United States
Tatiane C. C. Fernandes Brazil
C. Sabelli Italy
K. Seethalekshmi India
K. Ravindra India
Artur B. Piardi Brazil
Gianluca Sapienza Italy
Jonathan W. Stahlhut United States
Mohammad Babakmehr United States
Ahad Esmaeilian Iran
Khoi Vu relative to Daniel A. Haughton United States Daniel A. Haughton's profile →
Citations per field
00.5×1.5×2.4×
Daniel A. Haughton · 1×
Citations per year

Countries citing papers authored by Khoi Vu

Since Specialization
Citations

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

Fields of papers citing papers by Khoi Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Khoi 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 Khoi Vu Line = papers co-authored together Khoi Vu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005124
2 1989114
3 2008102
4 199032
5 200931
6 200730
7 200918
8 200215
9 200513
10 20178
11 19885

About Khoi Vu

Khoi Vu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Computer Networks and Communications and Infectious Diseases, having authored 11 papers that have together received 492 indexed citations. Recurring topics across this work include Power System Optimization and Stability (5 papers), Smart Grid Energy Management (3 papers), HVDC Systems and Fault Protection (3 papers), Power Systems Fault Detection (3 papers), Microgrid Control and Optimization (2 papers), Smart Grid and Power Systems (2 papers), Smart Grid Security and Resilience (2 papers) and Power Systems and Renewable Energy (2 papers). The work is most often cited by research in Control and Systems Engineering (373 citations), Electrical and Electronic Engineering (470 citations), Energy Engineering and Power Technology (22 citations), Safety, Risk, Reliability and Quality (53 citations) and Automotive Engineering (12 citations). Khoi Vu has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Chen‐Ching Liu, Seung Joon Lee, Damir Novosel, John McDaniel, Vahid Madani, B. Bhargava, C.C. Liu, Ralph Masiello, Srdjan Skok and Virgilio Centeno. Their work appears in journals such as Systems & Control Letters, IEEE Power and Energy Magazine, Proceedings of the IEEE and IEEE Power Engineering Review.

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.

Explore authors with similar magnitude of impact