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Researcher · University of Auckland · New Zealand

Sing Kiong Nguang

Sing Kiong Nguang publishes mostly in Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Stability and Control of Uncertain Systems, Neural Networks Stability and Synchronization and Adaptive Control of Nonlinear Systems.

ORCID 0000-0003-4527-0082 OpenAlex
World rank
#149,420
of 7,710,434 ranked researchers
Rank in New Zealand
#484
of 21,128
Works
474
Citations
11k
Citations per work
23.5
h-index
59
i10-index 201Top 0.6% in Control and Systems Engineering
Sing Kiong Nguang

What does Sing Kiong Nguang research?

Sing Kiong Nguang's work is mostly in Engineering (54%), Computer Science (22%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 362 works · 76.3% of their workEngineering: 258 works · 54.4% of their workControl and Systems Engineering: 223 works · 47.0% of their workElectrical and Electronic Engineering: 35 works · 7.4% of their workComputer Science: 104 works · 21.9% of their workComputer Networks and Communications: 63 works · 13.2% of their workArtificial Intelligence: 23 works · 4.9% of their workComputational Theory and Mathematics: 18 works · 3.8% of their workEverything else: 100 works · 21.2% of their workLife Sciences: 12 works · 2.5% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 2.5% of their workMolecular Biology: 12 works · 2.5% of their workTHEIR WORKSing Kiong Nguang474works
Life Sciences3%Physical Sciences76%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering25854.4%
    2. Computer Science10421.9%
  2. Everything else10021.2%
    1. Biochemistry, Genetics and Molecular Biology122.5%
  1. 1Control and Systems Engineering47% of their works
  2. 2Computer Networks and Communications13% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Sing Kiong Nguang's research?

The keywords of their largest research topics: Robust Control, Stability Analysis, Event-Triggered Control, Networked Control Systems, Time-Delay Systems, Nonlinear Systems, Machine Learning and Complex Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Robust Control3112 topics
  2. Stability Analysis3112 topics
  3. Event-Triggered Control2642 topics
  4. Networked Control Systems2241 topic
  5. Time-Delay Systems2241 topic
  6. Nonlinear Systems1852 topics
  7. Machine Learning1032 topics
  8. Complex Networks1001 topic
  9. Synchronization1001 topic
  10. System Identification1002 topics
  11. Adaptive Control981 topic
  12. Sliding Mode Control981 topic
  13. Model Predictive Control871 topic
  14. Optimization871 topic
  15. Fault Detection681 topic
  16. Process Monitoring681 topic
  17. Nonlinear Models651 topic
  18. Parameter Estimation651 topic
  19. Consensus401 topic
  20. Multi-Agent Systems401 topic
  21. Fuzzy Logic Systems351 topic
  22. Type-2 Fuzzy Sets351 topic

Where does Sing Kiong Nguang work?

Sing Kiong Nguang's main affiliation in the publication record is University of Auckland, New Zealand.

How many publications and citations does Sing Kiong Nguang have?

OpenAlex counts 474 works and 11,157 citations for Sing Kiong Nguang, an h-index of 59, ranking #149,420 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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