Shuteng Niu
Shuteng Niu publishes mostly in Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, on topics such as Domain Adaptation and Few-Shot Learning, UAV Applications and Optimization and Anomaly Detection Techniques and Applications.
- World rank
- #505,131 of 7,710,434 ranked researchers
- Rank in United States
- #175,892 of 1,627,098
- Works
- 73
- Citations
- 1.9k
- Citations per work
- 26.2
What does Shuteng Niu research?
Shuteng Niu's work is mostly in Computer Science (55%), Engineering (14%), 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 Sciences5068.5%
- Computer Science4055.0%
- Engineering1013.5%
- Everything else1926.2%
- Life Sciences45.3%
- 1Artificial Intelligence40% of their works
- 2Computer Networks and Communications8% of their works
- 3Aerospace Engineering8% of their works
- 4Computer Vision and Pattern Recognition7% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Molecular Biology5% of their works
Research topics
Which keywords describe Shuteng Niu's research?
The keywords of their largest research topics: Deep Learning, Representation Learning, Semi-Supervised Learning, Neural Networks, Domain Adaptation, Transfer Learning, UAV Networks and Wireless Communications.
- Machine Learning Interpretability
- Interpretable Models
- Robustness
- Consensus
- Healthcare
- Unsupervised
- Wireless Communications
- Transfer Learning
- Neural Networks
- Representation Learning
- Deep Learning
- Semi-Supervised Learning
- Domain Adaptation
- UAV Networks
- Anomaly Detection
- Electronic Health Records
- Adversarial Examples
- Multi-Agent Systems
- Graph Neural Networks
- Knowledge Graph Embedding
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 Learning334 topics
- Representation Learning212 topics
- Semi-Supervised Learning212 topics
- Neural Networks192 topics
- Domain Adaptation151 topic
- Transfer Learning151 topic
- UAV Networks131 topic
- Wireless Communications131 topic
- Anomaly Detection121 topic
- Unsupervised121 topic
- Electronic Health Records81 topic
- Healthcare81 topic
- Adversarial Examples71 topic
- Consensus71 topic
- Multi-Agent Systems71 topic
- Robustness71 topic
- Graph Neural Networks61 topic
- Interpretable Models61 topic
- Knowledge Graph Embedding61 topic
- Machine Learning Interpretability61 topic
Where does Shuteng Niu work?
Shuteng Niu's main affiliation in the publication record is Embry–Riddle Aeronautical University, United States.
How many publications and citations does Shuteng Niu have?
OpenAlex counts 73 works and 1,911 citations for Shuteng Niu, an h-index of 20, ranking #505,131 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.
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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