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Researcher · Wuhan Hankou Hospital · China

Shibo Feng

Shibo Feng publishes mostly in Infectious Diseases, Management Science and Operations Research and Molecular Biology, on topics such as Time Series Analysis and Forecasting, Stock Market Forecasting Methods and Online Learning and Analytics.

ORCID 0000-0001-8030-8299 OpenAlex
World rank
#1,110,660
of 7,710,434 ranked researchers
Rank in China
#158,710
of 978,568
Works
30
Citations
744
Citations per work
24.8
h-index
14
i10-index 15Top 43% in Infectious Diseases
Shibo Feng

What does Shibo Feng research?

Shibo Feng's work is mostly in Computer Science (13%), Biochemistry, Genetics and Molecular Biology (7%), Medicine (7%).

Everything else: 18 works · 60.8% of their workPhysical Sciences: 5 works · 17.9% of their workComputer Science: 4 works · 13.1% of their workSignal Processing: 2 works · 7.1% of their workArtificial Intelligence: 2 works · 6.0% of their workEngineering: 1 works · 4.8% of their workMechanics of Materials: 1 works · 4.8% of their workLife Sciences: 2 works · 7.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 7.1% of their workMolecular Biology: 2 works · 7.1% of their workHealth Sciences: 2 works · 7.1% of their workMedicine: 2 works · 7.1% of their workInfectious Diseases: 2 works · 7.1% of their workSocial Sciences: 2 works · 7.1% of their workDecision Sciences: 2 works · 7.1% of their workManagement Science and Operations Research: 2 works · 7.1% of their workTHEIR WORKShibo Feng30works
Life Sciences7%Physical Sciences18%Health Sciences7%Social Sciences7%

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. Everything else1860.8%
    1. Computer Science413.1%
    2. Engineering14.8%
    1. Biochemistry, Genetics and Molecular Biology27.1%
    1. Medicine27.1%
    1. Decision Sciences27.1%
  1. 1Infectious Diseases7% of their works
  2. 2Management Science and Operations Research7% of their works
  3. 3Molecular Biology7% of their works
  4. 4Signal Processing7% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Mechanics of Materials5% of their works

Research topics

Which keywords describe Shibo Feng's research?

The keywords of their largest research topics: Deep Learning, Clustering, Time Series, Stock Market Prediction, Time Series Forecasting, Coronavirus, Educational Data Mining and Learning Analytics.

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 17 words, with their numbers
  1. Deep Learning112 topics
  2. Clustering61 topic
  3. Time Series61 topic
  4. Stock Market Prediction51 topic
  5. Time Series Forecasting51 topic
  6. Coronavirus31 topic
  7. Educational Data Mining31 topic
  8. Learning Analytics31 topic
  9. Pore Structure31 topic
  10. Pore-scale Modeling31 topic
  11. SARS-CoV-231 topic
  12. Shale Gas31 topic
  13. X-ray Computed Tomography31 topic
  14. Affective States21 topic
  15. Biosynthesis21 topic
  16. Intelligent Tutoring Systems21 topic
  17. Lignans21 topic

Where does Shibo Feng work?

Shibo Feng's main affiliation in the publication record is Wuhan Hankou Hospital, China.

How many publications and citations does Shibo Feng have?

OpenAlex counts 30 works and 744 citations for Shibo Feng, an h-index of 14, ranking #1,110,660 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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