Ting Hu
Ting Hu publishes mostly in Molecular Biology, Artificial Intelligence and Epidemiology, on topics such as Bioinformatics and Genomic Networks, Genetic Associations and Epidemiology and Gene expression and cancer classification.
- World rank
- #1,412,100 of 1,633,909 ranked researchers
- Rank in Canada
- #35,778 of 38,960
- Works
- 22
- Citations
- 24
- Citations per work
- 1.1
What does Ting Hu research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Molecular Biology14% of their works
- 2Artificial Intelligence10% of their works
- 3Epidemiology7% of their works
- 4Infectious Diseases7% of their works
- 5Radiology, Nuclear Medicine and Imaging7% of their works
- 6Biomedical Engineering7% of their works
Research topics
- Bioinformatics and Genomic Networks
- Genetic Associations and Epidemiology
- Gene expression and cancer classification
- Metabolomics and Mass Spectrometry Studies
- Evolutionary Algorithms and Applications
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Computational Drug Discovery Methods
Which keywords describe Ting Hu's research?
The keywords of their largest research topics: Machine Learning, Classification, Data Analysis, Deep Neural Networks, Feature Selection, Gene Expression, Gene Set Enrichment Analysis and Protein-Protein Interaction Networks.
- Virtual Screening
- Noisy Labels
- Microarray
- Mass Spectrometry
- Interpretable Models
- Genome-Wide Association
- Genetic Programming
- Protein-Protein Interaction Networks
- Gene Expression
- Deep Neural Networks
- Classification
- Machine Learning
- Data Analysis
- Feature Selection
- Gene Set Enrichment Analysis
- Evolutionary Algorithms
- Genetic Variation
- Hyperparameter Optimization
- Machine Learning Interpretability
- Metabolomics
- Molecular Docking
- Normalization
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 22 words, with their numbers
- Machine Learning33 topics
- Classification22 topics
- Data Analysis22 topics
- Deep Neural Networks22 topics
- Feature Selection22 topics
- Gene Expression22 topics
- Gene Set Enrichment Analysis21 topic
- Protein-Protein Interaction Networks21 topic
- Evolutionary Algorithms11 topic
- Genetic Programming11 topic
- Genetic Variation11 topic
- Genome-Wide Association11 topic
- Hyperparameter Optimization11 topic
- Interpretable Models11 topic
- Machine Learning Interpretability11 topic
- Mass Spectrometry11 topic
- Metabolomics11 topic
- Microarray11 topic
- Molecular Docking11 topic
- Noisy Labels11 topic
- Normalization11 topic
- Virtual Screening11 topic
Where does Ting Hu work?
Ting Hu's main affiliation in the publication record is Queen's University, Canada.
How many publications and citations does Ting Hu have?
Science Explorer counts 22 works and 24 citations for Ting Hu, ranking #1,412,100 of 1,633,909 researchers worldwide on the composite 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.
Other researchers named Ting Hu
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