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Researcher · Development Fund · Norway

Shuoling Liu

Shuoling Liu publishes mostly in Artificial Intelligence, Management Science and Operations Research and Finance, on topics such as Stock Market Forecasting Methods, Explainable Artificial Intelligence (XAI) and Financial Markets and Investment Strategies.

ORCID 0009-0003-1960-3004 OpenAlex
World rank
#3,605,132
of 7,710,434 ranked researchers
Rank in Norway
#21,212
of 33,005
Works
26
Citations
73
Citations per work
2.8
h-index
3
i10-index 2Top 95% in Artificial Intelligence
Shuoling Liu

What does Shuoling Liu research?

Shuoling Liu's work is mostly in Computer Science (37%), Decision Sciences (16%), Economics, Econometrics and Finance (10%).

Physical Sciences: 11 works · 42.7% of their workComputer Science: 10 works · 36.8% of their workArtificial Intelligence: 6 works · 25.0% of their workComputer Networks and Communications: 2 works · 7.4% of their workComputer Vision and Pattern Recognition: 1 works · 4.4% of their workEngineering: 2 works · 5.9% of their workElectrical and Electronic Engineering: 2 works · 5.9% of their workEverything else: 8 works · 30.8% of their workSocial Sciences: 7 works · 26.5% of their workDecision Sciences: 4 works · 16.2% of their workManagement Science and Operations Research: 4 works · 16.2% of their workEconomics, Econometrics and Finance: 3 works · 10.3% of their workFinance: 3 works · 10.3% of their workTHEIR WORKShuoling Liu26works
Physical Sciences43%Social Sciences26%

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 Science1036.8%
    2. Engineering25.9%
  2. Everything else830.8%
    1. Decision Sciences416.2%
    2. Economics, Econometrics and Finance310.3%
  1. 1Artificial Intelligence25% of their works
  2. 2Management Science and Operations Research16% of their works
  3. 3Finance10% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Shuoling Liu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Sentiment Analysis, Stock Market Prediction, Time Series Forecasting, Asset Pricing, Interpretable Models and Machine Learning Interpretability.

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 19 words, with their numbers
  1. Deep Learning133 topics
  2. Neural Networks133 topics
  3. Sentiment Analysis102 topics
  4. Stock Market Prediction71 topic
  5. Time Series Forecasting71 topic
  6. Asset Pricing41 topic
  7. Interpretable Models41 topic
  8. Machine Learning Interpretability41 topic
  9. Stock Returns41 topic
  10. IEEE 802.1131 topic
  11. Image Captioning31 topic
  12. MAC Protocol31 topic
  13. Machine Translation31 topic
  14. Opinion Mining31 topic
  15. Social Media31 topic
  16. Visual Question Answering31 topic
  17. Word Representation31 topic
  18. Answer Set Programming21 topic
  19. Modal Logic21 topic

Where does Shuoling Liu work?

Shuoling Liu's main affiliation in the publication record is Development Fund, Norway.

How many publications and citations does Shuoling Liu have?

OpenAlex counts 26 works and 73 citations for Shuoling Liu, an h-index of 3, ranking #3,605,132 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.

Discussion

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