Chengkai Wu
Chengkai Wu publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, on topics such as Machine Learning in Healthcare, Biomedical Text Mining and Ontologies and Robotic Path Planning Algorithms.
- World rank
- #5,271,604 of 7,710,434 ranked researchers
- Rank in China
- #776,812 of 978,568
- Works
- 20
- Citations
- 81
- Citations per work
- 4.1
What does Chengkai Wu research?
Chengkai Wu's work is mostly in Computer Science (19%), Engineering (17%), Biochemistry, Genetics and Molecular Biology (7%).
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
- Everything else945.7%
- Physical Sciences842.4%
- Computer Science418.6%
- Engineering317.0%
- Energy16.8%
- Life Sciences16.8%
- Health Sciences15.1%
- Medicine15.1%
- 1Artificial Intelligence19% of their works
- 2Electrical and Electronic Engineering12% of their works
- 3Molecular Biology7% of their works
- 4Renewable Energy, Sustainability and the Environment7% of their works
- 5Endocrinology, Diabetes and Metabolism5% of their works
- 6Control and Systems Engineering5% of their works
Research topics
Which keywords describe Chengkai Wu's research?
The keywords of their largest research topics: Deep Learning, Data Integration, Multi-Agent Systems, Semantic Web, Electronic Health Records, Healthcare, Aqueous Zinc-Ion Batteries and Biomedical Ontologies.
- Robot Learning
- Ontology
- Linked Data
- Text Mining
- Optimal Motion Planning
- Energy Conversion
- Biomedical Ontologies
- Healthcare
- Semantic Web
- Data Integration
- Deep Learning
- Multi-Agent Systems
- Electronic Health Records
- Aqueous Zinc-Ion Batteries
- Electrocatalysis
- Energy Storage
- Sampling-Based Algorithms
- Grasping
- Neural Networks
- Reinforcement Learning
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 20 words, with their numbers
- Deep Learning83 topics
- Data Integration52 topics
- Multi-Agent Systems52 topics
- Semantic Web52 topics
- Electronic Health Records41 topic
- Healthcare41 topic
- Aqueous Zinc-Ion Batteries31 topic
- Biomedical Ontologies31 topic
- Electrocatalysis31 topic
- Energy Conversion31 topic
- Energy Storage31 topic
- Optimal Motion Planning31 topic
- Sampling-Based Algorithms31 topic
- Text Mining31 topic
- Grasping21 topic
- Linked Data21 topic
- Neural Networks21 topic
- Ontology21 topic
- Reinforcement Learning21 topic
- Robot Learning21 topic
Where does Chengkai Wu work?
Chengkai Wu's main affiliation in the publication record is Zhejiang Lab, China.
How many publications and citations does Chengkai Wu have?
OpenAlex counts 20 works and 81 citations for Chengkai Wu, an h-index of 6, ranking #5,271,604 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 Chengkai Wu
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