K. Chu

1.3k citations
11 papers · 1.0k · 2 hit papers · h-index 4

Impact in

Papers in

K. Chu

9 papers receiving 991 citations

K. Chu's Hit Papers

A reliability test system for educational purposes-basic data 1989 · 537 citations
5370+12+24Years since publication100200300400500

Peers

K. Chu
Comparison fields: 5 of 36
  • Safety, Risk, Reliability and Quality 937
  • Statistics, Probability and Uncertainty 214
  • Electrical and Electronic Engineering 810
  • Control and Systems Engineering 141
  • Energy Engineering and Power Technology 10
Replace K. Debnath with:
K. Debnath Canada
J. Oteng-Adjei Canada
Wijarn Wangdee Canada
Dange Huang Canada
Luiz Antônio da Fonseca Manso Brazil
Leonidas C. Resende Brazil
Luiz A. F. Manso Brazil
W. Li Canada
Reinaldo Andres Gonzalez-Fernandez Brazil
Bagen Canada
K. Chu relative to K. Debnath Canada K. Debnath's profile →
Citations per field
00.5×1.5×
K. Debnath · 1×
Citations per year

Countries citing papers authored by K. Chu

Since Specialization
Citations

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

Fields of papers citing papers by K. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
A reliability test system for educational purposes-basic data
Hit paper breakdown →
1989537
2
A Reliability Test System for Educational Purposes-Basic Data
Hit paper breakdown →
1989464
3 19909
4 19867
5 19924
6 19893
7 20041
8 20041
9 19901
10 19891
11 20250

About K. Chu

K. Chu is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Power System Reliability and Maintenance (7 papers), Optimal Power Flow Distribution (5 papers), Thermal Analysis in Power Transmission (3 papers), Probabilistic and Robust Engineering Design (2 papers), Electric Power System Optimization (2 papers), Reliability and Maintenance Optimization (2 papers), Lightning and Electromagnetic Phenomena (1 paper) and Power System Optimization and Stability (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (937 citations), Statistics, Probability and Uncertainty (214 citations), Electrical and Electronic Engineering (810 citations), Control and Systems Engineering (141 citations) and Energy Engineering and Power Technology (10 citations). K. Chu has collaborated with scholars based in Canada, Japan and China. Frequent co-authors include Roy Billinton, Ghavameddin Nourbakhsh, Sudhir Kumar, J. Oteng-Adjei, N. Chowdhury, L. Goel, K. Debnath, Ken Nagasaka, Xuemei Liu and Yating Wang. Their work appears in journals such as IEEE Transactions on Power Systems, Utilities Policy, Ultrasound in Medicine & Biology 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.

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