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Researcher · FPT University · Vietnam

Trần Trọng Huỳnh

Trần Trọng Huỳnh publishes mostly in Finance, Management Science and Operations Research and Economics and Econometrics, on topics such as Stock Market Forecasting Methods, Financial Risk and Volatility Modeling and Financial Markets and Investment Strategies.

ORCID 0000-0001-9145-2894 OpenAlex
World rank
#2,441,421
of 7,710,434 ranked researchers
Rank in Vietnam
#2,125
of 12,105
Works
72
Citations
319
Citations per work
4.4
h-index
11
i10-index 12Top 36% in Finance
Trần Trọng Huỳnh

What does Trần Trọng Huỳnh research?

Trần Trọng Huỳnh's work is mostly in Economics, Econometrics and Finance (42%), Decision Sciences (20%), Computer Science (4%).

Social Sciences: 48 works · 66.2% of their workEconomics, Econometrics and Finance: 30 works · 41.6% of their workFinance: 19 works · 26.7% of their workEconomics and Econometrics: 8 works · 11.3% of their workGeneral Economics, Econometrics and Finance: 3 works · 3.6% of their workDecision Sciences: 15 works · 20.5% of their workManagement Science and Operations Research: 15 works · 20.5% of their workSocial Sciences: 3 works · 4.1% of their workSociology and Political Science: 3 works · 4.1% of their workEverything else: 21 works · 29.7% of their workPhysical Sciences: 3 works · 4.1% of their workComputer Science: 3 works · 4.1% of their workArtificial Intelligence: 3 works · 4.1% of their workTHEIR WORKTrần Trọng Huỳnh72works
Physical Sciences4%Social Sciences66%

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. Economics, Econometrics and Finance3041.6%
    2. Decision Sciences1520.5%
    3. Social Sciences34.1%
  2. Everything else2129.7%
    1. Computer Science34.1%
  1. 1Finance27% of their works
  2. 2Management Science and Operations Research20% of their works
  3. 3Economics and Econometrics11% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6General Economics, Econometrics and Finance4% of their works

Research topics

Which keywords describe Trần Trọng Huỳnh's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Stock Market Prediction, Time Series Forecasting, GARCH Models, Volatility, Monetary Policy and Asset Pricing.

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 19 words, with their numbers
  1. Neural Networks393 topics
  2. Deep Learning292 topics
  3. Stock Market Prediction241 topic
  4. Time Series Forecasting241 topic
  5. GARCH Models231 topic
  6. Volatility231 topic
  7. Monetary Policy212 topics
  8. Asset Pricing201 topic
  9. Stock Returns201 topic
  10. Economic Policy Uncertainty161 topic
  11. Oil Price Shocks161 topic
  12. Forecasting101 topic
  13. Time Series101 topic
  14. Electronic Word-of-Mouth61 topic
  15. Social Media61 topic
  16. Economic Growth51 topic
  17. Electricity Price Forecasting51 topic
  18. Fiscal Policy51 topic
  19. Load Forecasting51 topic

Where does Trần Trọng Huỳnh work?

Trần Trọng Huỳnh's main affiliation in the publication record is FPT University, Vietnam.

How many publications and citations does Trần Trọng Huỳnh have?

OpenAlex counts 72 works and 319 citations for Trần Trọng Huỳnh, an h-index of 11, ranking #2,441,421 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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