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Researcher · Ton Duc Thang University · Vietnam

Ha Che‐Ngoc

Ha Che‐Ngoc publishes mostly in Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence, on topics such as Stock Market Forecasting Methods, Advanced Clustering Algorithms Research and Advanced Statistical Methods and Models.

ORCID 0000-0002-9009-2732 OpenAlex
World rank
#5,554,035
of 7,710,434 ranked researchers
Rank in Vietnam
#6,952
of 12,105
Works
20
Citations
147
Citations per work
7.4
h-index
8
i10-index 6Top 60% in Computer Vision and Pattern Recognition
Ha Che‐Ngoc

What does Ha Che‐Ngoc research?

Ha Che‐Ngoc's work is mostly in Computer Science (31%), Decision Sciences (18%), Mathematics (9%).

Physical Sciences: 9 works · 47.3% of their workComputer Science: 6 works · 30.9% of their workComputer Vision and Pattern Recognition: 4 works · 18.2% of their workArtificial Intelligence: 3 works · 12.7% of their workMathematics: 2 works · 9.1% of their workStatistics and Probability: 2 works · 9.1% of their workEngineering: 1 works · 7.3% of their workControl and Systems Engineering: 1 works · 7.3% of their workEverything else: 5 works · 27.2% of their workSocial Sciences: 5 works · 25.5% of their workDecision Sciences: 4 works · 18.2% of their workManagement Science and Operations Research: 4 works · 18.2% of their workEconomics, Econometrics and Finance: 1 works · 7.3% of their workEconomics and Econometrics: 1 works · 7.3% of their workTHEIR WORKHa Che‐Ngoc20works
Physical Sciences47%Social Sciences25%

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. Computer Science630.9%
    2. Mathematics29.1%
    3. Engineering17.3%
  2. Everything else527.2%
    1. Decision Sciences418.2%
    2. Economics, Econometrics and Finance17.3%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Management Science and Operations Research18% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Statistics and Probability9% of their works
  5. 5Economics and Econometrics7% of their works
  6. 6Control and Systems Engineering7% of their works

Research topics

Which keywords describe Ha Che‐Ngoc's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Support Vector Machines, Stock Market Prediction, Time Series Forecasting, High-Dimensional Data, Outlier Detection and Dimensionality Reduction.

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.

All 23 words, with their numbers
  1. Deep Learning145 topics
  2. Neural Networks82 topics
  3. Support Vector Machines82 topics
  4. Stock Market Prediction61 topic
  5. Time Series Forecasting61 topic
  6. High-Dimensional Data52 topics
  7. Outlier Detection52 topics
  8. Dimensionality Reduction42 topics
  9. Time Series42 topics
  10. Clustering Algorithms31 topic
  11. K-means31 topic
  12. Multicollinearity31 topic
  13. Regression Analysis31 topic
  14. Anomaly Detection21 topic
  15. Clustering21 topic
  16. Contrast Enhancement21 topic
  17. Dehazing21 topic
  18. Dynamic Time Warping21 topic
  19. Face Recognition21 topic
  20. Feature Matching21 topic
  21. Feature Selection21 topic
  22. Local Descriptors21 topic
  23. Unsupervised21 topic

Where does Ha Che‐Ngoc work?

Ha Che‐Ngoc's main affiliation in the publication record is Ton Duc Thang University, Vietnam.

How many publications and citations does Ha Che‐Ngoc have?

OpenAlex counts 20 works and 147 citations for Ha Che‐Ngoc, an h-index of 8, ranking #5,554,035 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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