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Researcher · Shenzhen Technology University · China

Bingding Huang

Bingding Huang publishes mostly in Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Neural Network Applications, Monoclonal and Polyclonal Antibodies Research and Cancer Genomics and Diagnostics.

ORCID 0000-0002-4748-2882 OpenAlex
World rank
#366,719
of 7,710,434 ranked researchers
Rank in China
#42,413
of 978,568
Works
120
Citations
3.8k
Citations per work
31.5
h-index
24
i10-index 42Top 24% in Molecular Biology
Bingding Huang

What does Bingding Huang research?

Bingding Huang's work is mostly in Computer Science (21%), Biochemistry, Genetics and Molecular Biology (20%), Medicine (16%).

Everything else: 46 works · 38.3% of their workPhysical Sciences: 31 works · 25.8% of their workComputer Science: 25 works · 21.0% of their workComputer Vision and Pattern Recognition: 15 works · 12.7% of their workArtificial Intelligence: 10 works · 8.3% of their workEngineering: 6 works · 4.8% of their workBiomedical Engineering: 6 works · 4.8% of their workLife Sciences: 24 works · 19.7% of their workBiochemistry, Genetics and Molecular Biology: 24 works · 19.7% of their workMolecular Biology: 24 works · 19.7% of their workHealth Sciences: 19 works · 16.2% of their workMedicine: 19 works · 16.2% of their workRadiology, Nuclear Medicine and Imaging: 11 works · 9.5% of their workPulmonary and Respiratory Medicine: 8 works · 6.7% of their workTHEIR WORKBingding Huang120works
Life Sciences20%Physical Sciences26%Health Sciences16%

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 else4638.3%
    1. Computer Science2521.0%
    2. Engineering64.8%
    1. Biochemistry, Genetics and Molecular Biology2419.7%
    1. Medicine1916.2%
  1. 1Molecular Biology20% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Radiology, Nuclear Medicine and Imaging10% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Biomedical Engineering5% of their works

Research topics

Which keywords describe Bingding Huang's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Deep Learning, Image Recognition, Object Detection, Fc Receptors, Therapeutic Antibodies and Cancer Genomics.

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. Machine Learning233 topics
  2. Convolutional Neural Networks222 topics
  3. Deep Learning222 topics
  4. Image Recognition141 topic
  5. Object Detection141 topic
  6. Fc Receptors111 topic
  7. Therapeutic Antibodies111 topic
  8. Cancer Genomics91 topic
  9. Epitope Prediction91 topic
  10. Mutational Signatures91 topic
  11. Peptide-MHC Binding91 topic
  12. Protein91 topic
  13. Structure91 topic
  14. Histopathology Images81 topic
  15. Medical Image Analysis81 topic
  16. Molecular Docking81 topic
  17. Virtual Screening81 topic
  18. Medical Imaging71 topic
  19. Radiomics71 topic

Where does Bingding Huang work?

Bingding Huang's main affiliation in the publication record is Shenzhen Technology University, China.

How many publications and citations does Bingding Huang have?

OpenAlex counts 120 works and 3,777 citations for Bingding Huang, an h-index of 24, ranking #366,719 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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