Ping‐Feng Pai
Ping‐Feng Pai publishes mostly in Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Stock Market Forecasting Methods, Energy Load and Power Forecasting and Forecasting Techniques and Applications.
- World rank
- #239,261 of 7,710,434 ranked researchers
- Rank in Taiwan
- #737 of 57,035
- Works
- 123
- Citations
- 5.1k
- Citations per work
- 41.2
What does Ping‐Feng Pai research?
Ping‐Feng Pai's work is mostly in Decision Sciences (21%), Engineering (20%), Computer Science (18%).
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
- Everything else5040.5%
- Physical Sciences4738.4%
- Engineering2419.9%
- Computer Science2318.5%
- Social Sciences2621.1%
- Decision Sciences2621.1%
- 1Management Science and Operations Research21% of their works
- 2Artificial Intelligence13% of their works
- 3Electrical and Electronic Engineering11% of their works
- 4Computational Theory and Mathematics5% of their works
- 5Industrial and Manufacturing Engineering5% of their works
- 6Control and Systems Engineering4% of their works
Research topics
Which keywords describe Ping‐Feng Pai's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Stock Market Prediction, Time Series Forecasting, Electricity Price Forecasting, Load Forecasting, Machine Learning and Forecasting.
- Fuzzy Logic Systems
- Backpropagation Learning
- Classification
- Analytic Hierarchy Process
- Granular Computing
- Forecasting
- Load Forecasting
- Time Series Forecasting
- Deep Learning
- Neural Networks
- Stock Market Prediction
- Electricity Price Forecasting
- Machine Learning
- Time Series
- Rough Sets
- TOPSIS
- Imbalanced Data
- Self-Organizing Maps
- Type-2 Fuzzy Sets
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
- Neural Networks884 topics
- Deep Learning683 topics
- Stock Market Prediction311 topic
- Time Series Forecasting311 topic
- Electricity Price Forecasting291 topic
- Load Forecasting291 topic
- Machine Learning272 topics
- Forecasting201 topic
- Time Series201 topic
- Granular Computing181 topic
- Rough Sets181 topic
- Analytic Hierarchy Process151 topic
- TOPSIS151 topic
- Classification111 topic
- Imbalanced Data111 topic
- Backpropagation Learning81 topic
- Self-Organizing Maps81 topic
- Fuzzy Logic Systems71 topic
- Type-2 Fuzzy Sets71 topic
Where does Ping‐Feng Pai work?
Ping‐Feng Pai's main affiliation in the publication record is National Chi Nan University, Taiwan.
How many publications and citations does Ping‐Feng Pai have?
OpenAlex counts 123 works and 5,070 citations for Ping‐Feng Pai, an h-index of 31, ranking #239,261 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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