Shang Gao
Shang Gao publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, on topics such as Data Stream Mining Techniques, Cancer-related molecular mechanisms research and Genetic diversity and population structure.
- World rank
- #1,441,724 of 1,633,909 ranked researchers
- Rank in Australia
- #32,822 of 35,497
- Works
- 29
- Citations
- 31
- Citations per work
- 1.1
What does Shang Gao research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition14% of their works
- 2Electrical and Electronic Engineering10% of their works
- 3Computer Networks and Communications8% of their works
- 4Information Systems8% of their works
- 5Artificial Intelligence8% of their works
- 6Ecology6% of their works
Research topics
- Data Stream Mining Techniques
- Cancer-related molecular mechanisms research
- Genetic diversity and population structure
- Analytical Chemistry and Sensors
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Distributed and Parallel Computing Systems
- Network Security and Intrusion Detection
Which keywords describe Shang Gao's research?
The keywords of their largest research topics: Deep Learning, Anomaly Detection, Concept Drift, Data Streams, Machine Learning, Neural Networks, Adversarial Examples and Cancer.
- Unsupervised
- Population Genetics
- Optical Sensors
- Long Noncoding RNAs
- Intrusion Detection
- Genetic Structure
- Cancer
- Neural Networks
- Data Streams
- Anomaly Detection
- Deep Learning
- Concept Drift
- Machine Learning
- Adversarial Examples
- Distributed Systems
- Grid Computing
- Ion-Selective Electrodes
- Network Security
- Outlier Detection
- Robustness
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 20 words, with their numbers
- Deep Learning33 topics
- Anomaly Detection22 topics
- Concept Drift21 topic
- Data Streams21 topic
- Machine Learning22 topics
- Neural Networks22 topics
- Adversarial Examples11 topic
- Cancer11 topic
- Distributed Systems11 topic
- Genetic Structure11 topic
- Grid Computing11 topic
- Intrusion Detection11 topic
- Ion-Selective Electrodes11 topic
- Long Noncoding RNAs11 topic
- Network Security11 topic
- Optical Sensors11 topic
- Outlier Detection11 topic
- Population Genetics11 topic
- Robustness11 topic
- Unsupervised11 topic
Where does Shang Gao work?
Shang Gao's main affiliation in the publication record is Deakin University, Australia.
How many publications and citations does Shang Gao have?
Science Explorer counts 29 works and 31 citations for Shang Gao, ranking #1,441,724 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 Shang Gao
- shang-gao-hong-kong-polytechnic-university
- shang-gao-dalian-university-of-technology
- shang-gao-orebro-university
- shang-gao-oak-ridge-national-laboratory
- shang-gao-sichuan-agricultural-university
- shang-gao-deakin-university
- shang-gao-jiangsu-university-of-science-and-technology
- shang-gao-national-university-of-singapore
- shang-gao-nanjing-university-of-science-and-technology
- shang-gao-dalian-university-of-technology-china
- shang-gao-jilin-university
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