Peilin Zhao
Peilin Zhao publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Advanced Bandit Algorithms Research, Data Stream Mining Techniques and Machine Learning and Algorithms.
- World rank
- #67,912 of 7,710,434 ranked researchers
- Rank in China
- #5,366 of 978,568
- Works
- 357
- Citations
- 13k
- Citations per work
- 37.1
What does Peilin Zhao research?
Peilin Zhao's work is mostly in Computer Science (56%), Decision Sciences (7%), Biochemistry, Genetics and Molecular Biology (5%).
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
- Physical Sciences19855.5%
- Computer Science19855.5%
- Everything else11532.3%
- Social Sciences246.8%
- Decision Sciences246.8%
- Life Sciences195.4%
- 1Artificial Intelligence35% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Management Science and Operations Research7% of their works
- 4Molecular Biology5% of their works
- 5Information Systems5% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe Peilin Zhao's research?
The keywords of their largest research topics: Online Learning, Hyperparameter Optimization, Ensemble Learning, Incremental Learning, Semi-Supervised Learning, Machine Learning, Deep Learning and Meta-Learning.
- Matrix Factorization
- Virtual Screening
- Noisy Labels
- Feedforward Networks
- Transfer Learning
- Gaussian Processes
- Data Streams
- Bayesian Optimization
- Neural Networks
- Meta-Learning
- Machine Learning
- Incremental Learning
- Hyperparameter Optimization
- Online Learning
- Ensemble Learning
- Semi-Supervised Learning
- Deep Learning
- Classification
- Bandit Optimization
- Concept Drift
- Active Learning
- Domain Adaptation
- Extreme Learning Machine
- Instance Selection
- Molecular Docking
- Collaborative Filtering
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 26 words, with their numbers
- Online Learning962 topics
- Hyperparameter Optimization802 topics
- Ensemble Learning782 topics
- Incremental Learning782 topics
- Semi-Supervised Learning742 topics
- Machine Learning692 topics
- Deep Learning662 topics
- Meta-Learning662 topics
- Classification622 topics
- Neural Networks582 topics
- Bandit Optimization491 topic
- Bayesian Optimization491 topic
- Concept Drift471 topic
- Data Streams471 topic
- Active Learning391 topic
- Gaussian Processes391 topic
- Domain Adaptation351 topic
- Transfer Learning351 topic
- Extreme Learning Machine311 topic
- Feedforward Networks311 topic
- Instance Selection311 topic
- Noisy Labels311 topic
- Molecular Docking301 topic
- Virtual Screening301 topic
- Collaborative Filtering271 topic
- Matrix Factorization271 topic
Where does Peilin Zhao work?
Peilin Zhao's main affiliation in the publication record is Tencent (China), China.
How many publications and citations does Peilin Zhao have?
OpenAlex counts 357 works and 13,251 citations for Peilin Zhao, an h-index of 57, ranking #67,912 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.
Other researchers named Peilin Zhao
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