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Researcher · Yuanpei University · Taiwan

Liang‐Ying Wei

Liang‐Ying Wei publishes mostly in Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics, on topics such as Stock Market Forecasting Methods, Neural Networks and Applications and Energy Load and Power Forecasting.

OpenAlex
World rank
#1,279,705
of 7,710,434 ranked researchers
Rank in Taiwan
#6,664
of 57,035
Works
44
Citations
1.2k
Citations per work
26.7
h-index
13
i10-index 14Top 31% in Management Science and Operations Research
Liang‐Ying Wei

What does Liang‐Ying Wei research?

Liang‐Ying Wei's work is mostly in Decision Sciences (29%), Computer Science (26%), Engineering (16%).

Physical Sciences: 18 works · 41.4% of their workComputer Science: 11 works · 25.7% of their workArtificial Intelligence: 8 works · 17.4% of their workInformation Systems: 4 works · 8.3% of their workEngineering: 7 works · 15.7% of their workElectrical and Electronic Engineering: 4 works · 9.9% of their workIndustrial and Manufacturing Engineering: 3 works · 5.8% of their workSocial Sciences: 17 works · 38.8% of their workDecision Sciences: 13 works · 28.9% of their workManagement Science and Operations Research: 13 works · 28.9% of their workEconomics, Econometrics and Finance: 4 works · 9.9% of their workEconomics and Econometrics: 4 works · 9.9% of their workEverything else: 9 works · 19.8% of their workTHEIR WORKLiang‐Ying Wei44works
Physical Sciences41%Social Sciences39%

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 Science1125.7%
    2. Engineering715.7%
    1. Decision Sciences1328.9%
    2. Economics, Econometrics and Finance49.9%
  3. Everything else919.8%
  1. 1Management Science and Operations Research29% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Economics and Econometrics10% of their works
  4. 4Electrical and Electronic Engineering10% of their works
  5. 5Information Systems8% of their works
  6. 6Industrial and Manufacturing Engineering6% of their works

Research topics

Which keywords describe Liang‐Ying Wei's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Stock Market Prediction, Time Series Forecasting, Backpropagation Learning, Electricity Price Forecasting, Load Forecasting and Machine Learning.

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. Neural Networks554 topics
  2. Deep Learning483 topics
  3. Stock Market Prediction241 topic
  4. Time Series Forecasting241 topic
  5. Backpropagation Learning121 topic
  6. Electricity Price Forecasting121 topic
  7. Load Forecasting121 topic
  8. Machine Learning122 topics
  9. Self-Organizing Maps121 topic
  10. Econophysics111 topic
  11. Multifractal Analysis111 topic
  12. Forecasting71 topic
  13. Time Series71 topic
  14. Data Mining51 topic
  15. Frequent Patterns51 topic
  16. Clustering Algorithms41 topic
  17. Granular Computing41 topic
  18. K-means41 topic
  19. Rough Sets41 topic

Where does Liang‐Ying Wei work?

Liang‐Ying Wei's main affiliation in the publication record is Yuanpei University, Taiwan.

How many publications and citations does Liang‐Ying Wei have?

OpenAlex counts 44 works and 1,175 citations for Liang‐Ying Wei, an h-index of 13, ranking #1,279,705 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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