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Researcher · Guangzhou Maritime College · China

Leming Xiao

Leming Xiao publishes mostly in Molecular Biology, Control and Systems Engineering and Electrical and Electronic Engineering, on topics such as Genomics and Phylogenetic Studies, Power Systems and Renewable Energy and Microgrid Control and Optimization.

ORCID 0000-0002-6152-492X OpenAlex
World rank
#3,366,925
of 7,710,434 ranked researchers
Rank in China
#528,729
of 978,568
Works
27
Citations
836
Citations per work
31.0
h-index
5
i10-index 3Top 97% in Molecular Biology
Leming Xiao

What does Leming Xiao research?

Leming Xiao's work is mostly in Biochemistry, Genetics and Molecular Biology (33%), Engineering (30%), Computer Science (6%).

Physical Sciences: 11 works · 41.5% of their workEngineering: 8 works · 30.1% of their workControl and Systems Engineering: 3 works · 12.9% of their workElectrical and Electronic Engineering: 3 works · 12.9% of their workOcean Engineering: 1 works · 4.3% of their workComputer Science: 2 works · 5.7% of their workArtificial Intelligence: 2 works · 5.7% of their workEnergy: 2 works · 5.7% of their workEnergy Engineering and Power Technology: 2 works · 5.7% of their workLife Sciences: 9 works · 32.9% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 32.9% of their workMolecular Biology: 9 works · 32.9% of their workEverything else: 7 works · 25.6% of their workTHEIR WORKLeming Xiao27works
Life Sciences33%Physical Sciences42%

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. Engineering830.1%
    2. Computer Science25.7%
    3. Energy25.7%
    1. Biochemistry, Genetics and Molecular Biology932.9%
  3. Everything else725.6%
  1. 1Molecular Biology33% of their works
  2. 2Control and Systems Engineering13% of their works
  3. 3Electrical and Electronic Engineering13% of their works
  4. 4Energy Engineering and Power Technology6% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Ocean Engineering4% of their works

Research topics

Which keywords describe Leming Xiao's research?

The keywords of their largest research topics: RNA-Seq, Machine Learning, Data Integration, Phylogenetic Analysis, sequence alignment, Distributed Power Generation, Energy Storage and Microgrid Control.

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. RNA-Seq72 topics
  2. Machine Learning62 topics
  3. Data Integration52 topics
  4. Phylogenetic Analysis51 topic
  5. sequence alignment51 topic
  6. Distributed Power Generation41 topic
  7. Energy Storage41 topic
  8. Microgrid Control41 topic
  9. Power Systems41 topic
  10. Expert Systems31 topic
  11. Gene Set Enrichment Analysis31 topic
  12. Glycans31 topic
  13. Glycosylation31 topic
  14. Protein31 topic
  15. Protein-Protein Interaction Networks31 topic
  16. Subcellular Localization31 topic
  17. Wavelet Analysis31 topic
  18. Single-Cell21 topic
  19. Transcriptomics21 topic

Where does Leming Xiao work?

Leming Xiao's main affiliation in the publication record is Guangzhou Maritime College, China.

How many publications and citations does Leming Xiao have?

OpenAlex counts 27 works and 836 citations for Leming Xiao, an h-index of 5, ranking #3,366,925 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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