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Researcher · Shenzhen Polytechnic University · China

Guangmin Liang

Guangmin Liang publishes mostly in Molecular Biology, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Machine Learning in Bioinformatics, Computational Drug Discovery Methods and Cloud Computing and Resource Management.

ORCID 0000-0001-7255-3470 OpenAlex
World rank
#2,222,137
of 7,710,434 ranked researchers
Rank in China
#344,830
of 978,568
Works
31
Citations
517
Citations per work
16.7
h-index
9
i10-index 9Top 82% in Molecular Biology
Guangmin Liang

What does Guangmin Liang research?

Guangmin Liang's work is mostly in Computer Science (36%), Biochemistry, Genetics and Molecular Biology (22%), Engineering (13%).

Physical Sciences: 15 works · 48.1% of their workComputer Science: 11 works · 35.5% of their workComputer Networks and Communications: 5 works · 14.9% of their workInformation Systems: 3 works · 9.2% of their workArtificial Intelligence: 2 works · 5.7% of their workComputational Theory and Mathematics: 2 works · 5.7% of their workEngineering: 4 works · 12.6% of their workElectrical and Electronic Engineering: 4 works · 12.6% of their workEverything else: 9 works · 30.1% of their workLife Sciences: 7 works · 21.8% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 21.8% of their workMolecular Biology: 7 works · 21.8% of their workTHEIR WORKGuangmin Liang31works
Life Sciences22%Physical Sciences48%

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 Science1135.5%
    2. Engineering412.6%
  2. Everything else930.1%
    1. Biochemistry, Genetics and Molecular Biology721.8%
  1. 1Molecular Biology22% of their works
  2. 2Computer Networks and Communications15% of their works
  3. 3Electrical and Electronic Engineering13% of their works
  4. 4Information Systems9% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Guangmin Liang's research?

The keywords of their largest research topics: Machine Learning, Protein, Subcellular Localization, Molecular Docking, Virtual Screening, Big Data, Cloud Computing and DSRC Standards.

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. Machine Learning143 topics
  2. Protein81 topic
  3. Subcellular Localization81 topic
  4. Molecular Docking41 topic
  5. Virtual Screening41 topic
  6. Big Data31 topic
  7. Cloud Computing31 topic
  8. DSRC Standards31 topic
  9. Vehicular Ad Hoc Networks31 topic
  10. Anomaly Detection21 topic
  11. DNA Sequences21 topic
  12. Epitope Prediction21 topic
  13. Genomic Signal Processing21 topic
  14. Peptide-MHC Binding21 topic
  15. RNA-Seq21 topic
  16. Unsupervised21 topic
  17. sequence alignment21 topic

Where does Guangmin Liang work?

Guangmin Liang's main affiliation in the publication record is Shenzhen Polytechnic University, China.

How many publications and citations does Guangmin Liang have?

OpenAlex counts 31 works and 517 citations for Guangmin Liang, an h-index of 9, ranking #2,222,137 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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