Kongtao Chen
Kongtao Chen publishes mostly in Materials Chemistry, Atomic and Molecular Physics, and Optics and Artificial Intelligence, on topics such as Microstructure and mechanical properties, Microstructure and Mechanical Properties of Steels and Force Microscopy Techniques and Applications.
- World rank
- #2,295,277 of 7,710,434 ranked researchers
- Rank in United States
- #684,902 of 1,627,098
- Works
- 17
- Citations
- 505
- Citations per work
- 29.7
What does Kongtao Chen research?
Kongtao Chen's work is mostly in Materials Science (29%), Engineering (16%), Physics and Astronomy (16%).
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 Sciences1374.5%
- Materials Science529.4%
- Engineering315.7%
- Physics and Astronomy315.7%
- Computer Science213.7%
- Everything else425.5%
- 1Materials Chemistry24% of their works
- 2Atomic and Molecular Physics, and Optics16% of their works
- 3Artificial Intelligence14% of their works
- 4Mechanical Engineering10% of their works
- 5Electronic, Optical and Magnetic Materials6% of their works
- 6Mechanics of Materials6% of their works
Research topics
- Microstructure and mechanical properties
- Microstructure and Mechanical Properties of Steels
- Force Microscopy Techniques and Applications
- Adversarial Robustness in Machine Learning
- Magnetic properties of thin films
- Ethics and Social Impacts of AI
- Explainable Artificial Intelligence (XAI)
- Advanced Neural Network Applications
Which keywords describe Kongtao Chen's research?
The keywords of their largest research topics: Grain Refinement, Nanocrystalline Materials, Severe Plastic Deformation, Machine Learning, Deep Learning, High-Strength Steels, Microstructure and Atomic Force Microscopy.
- Interpretable Models
- Convolutional Neural Networks
- Skyrmions
- Fairness
- Adversarial Examples
- Atomic Force Microscopy
- High-Strength Steels
- Machine Learning
- Nanocrystalline Materials
- Grain Refinement
- Severe Plastic Deformation
- Deep Learning
- Microstructure
- Force Spectroscopy
- Ethics
- Robustness
- Spintronics
- Image Recognition
- Machine Learning Interpretability
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
- Grain Refinement162 topics
- Nanocrystalline Materials111 topic
- Severe Plastic Deformation111 topic
- Machine Learning62 topics
- Deep Learning52 topics
- High-Strength Steels51 topic
- Microstructure51 topic
- Atomic Force Microscopy41 topic
- Force Spectroscopy41 topic
- Adversarial Examples31 topic
- Ethics31 topic
- Fairness31 topic
- Robustness31 topic
- Skyrmions31 topic
- Spintronics31 topic
- Convolutional Neural Networks21 topic
- Image Recognition21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
Where does Kongtao Chen work?
Kongtao Chen's main affiliation in the publication record is University of Pennsylvania, United States.
How many publications and citations does Kongtao Chen have?
OpenAlex counts 17 works and 505 citations for Kongtao Chen, an h-index of 7, ranking #2,295,277 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.
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