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Researcher · Macao Polytechnic University · China

Ngai Cheong

Ngai Cheong publishes mostly in Electrical and Electronic Engineering, Biomedical Engineering and Computer Science Applications, on topics such as Analog and Mixed-Signal Circuit Design, Intelligent Tutoring Systems and Adaptive Learning and Radio Frequency Integrated Circuit Design.

ORCID 0000-0002-0960-0024 OpenAlex
World rank
#5,251,241
of 7,710,434 ranked researchers
Rank in China
#774,470
of 978,568
Works
23
Citations
79
Citations per work
3.4
h-index
5
i10-index 2Top 89% in Electrical and Electronic Engineering
Ngai Cheong

What does Ngai Cheong research?

Ngai Cheong's work is mostly in Engineering (35%), Computer Science (23%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 13 works · 57.8% of their workEngineering: 8 works · 34.7% of their workElectrical and Electronic Engineering: 5 works · 21.7% of their workBiomedical Engineering: 3 works · 13.0% of their workComputer Science: 5 works · 23.1% of their workComputer Science Applications: 2 works · 10.1% of their workArtificial Intelligence: 2 works · 8.7% of their workSignal Processing: 1 works · 4.3% of their workEverything else: 9 works · 37.9% of their workLife Sciences: 1 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.3% of their workMolecular Biology: 1 works · 4.3% of their workTHEIR WORKNgai Cheong23works
Life Sciences4%Physical Sciences58%

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. Engineering834.7%
    2. Computer Science523.1%
  2. Everything else937.9%
    1. Biochemistry, Genetics and Molecular Biology14.3%
  1. 1Electrical and Electronic Engineering22% of their works
  2. 2Biomedical Engineering13% of their works
  3. 3Computer Science Applications10% of their works
  4. 4Artificial Intelligence9% of their works
  5. 5Molecular Biology4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Ngai Cheong's research?

The keywords of their largest research topics: CMOS, Low-Power, Neural Recording, Learning Analytics, Affective States, Intelligent Tutoring Systems, Low-Noise Amplifiers and Oscillators.

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 20 words, with their numbers
  1. CMOS132 topics
  2. Low-Power81 topic
  3. Neural Recording81 topic
  4. Learning Analytics72 topics
  5. Affective States51 topic
  6. Intelligent Tutoring Systems51 topic
  7. Low-Noise Amplifiers51 topic
  8. Oscillators51 topic
  9. Educational Data Mining41 topic
  10. Massive Open Online Courses41 topic
  11. Power Electronics42 topics
  12. Renewable Energy Integration42 topics
  13. Computational Thinking31 topic
  14. FFT31 topic
  15. Filter Banks31 topic
  16. Programming Education31 topic
  17. DC-DC Converters21 topic
  18. High-Frequency Power Conversion21 topic
  19. Model Predictive Control21 topic
  20. Multilevel Converters21 topic

Where does Ngai Cheong work?

Ngai Cheong's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Ngai Cheong have?

OpenAlex counts 23 works and 79 citations for Ngai Cheong, an h-index of 5, ranking #5,251,241 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.

Other researchers named Ngai Cheong

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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