Ming Jin
Ming Jin publishes mostly in Artificial Intelligence, Signal Processing and Management Science and Operations Research, on topics such as Time Series Analysis and Forecasting, Anomaly Detection Techniques and Applications and Adversarial Robustness in Machine Learning.
- World rank
- #1,410,873 of 1,633,909 ranked researchers
- Rank in Australia
- #32,390 of 35,497
- Works
- 25
- Citations
- 32
- Citations per work
- 1.3
What does Ming Jin research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Signal Processing15% of their works
- 3Management Science and Operations Research9% of their works
- 4Statistical and Nonlinear Physics6% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Control and Systems Engineering6% of their works
Research topics
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Reinforcement Learning in Robotics
- Data Management and Algorithms
- Stock Market Forecasting Methods
- Neural and Behavioral Psychology Studies
- Advanced Computational Techniques and Applications
Which keywords describe Ming Jin's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Clustering, Dynamic Time Warping, Machine Learning, Adversarial Examples and Anomaly Detection.
- Wavelet Analysis
- Expert Systems
- Unsupervised
- Time Series Forecasting
- Robustness
- Reinforcement Learning
- Anomaly Detection
- Machine Learning
- Clustering
- Neural Networks
- Deep Learning
- Time Series
- Dynamic Time Warping
- Adversarial Examples
- GPS Trajectories
- Robotics
- Stock Market Prediction
- Trajectory Data Mining
- Cognitive Control
- Neural Mechanisms
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 Learning115 topics
- Neural Networks84 topics
- Time Series52 topics
- Clustering31 topic
- Dynamic Time Warping31 topic
- Machine Learning32 topics
- Adversarial Examples21 topic
- Anomaly Detection21 topic
- GPS Trajectories21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Robustness21 topic
- Stock Market Prediction21 topic
- Time Series Forecasting21 topic
- Trajectory Data Mining21 topic
- Unsupervised21 topic
- Cognitive Control11 topic
- Expert Systems11 topic
- Neural Mechanisms11 topic
- Wavelet Analysis11 topic
Where does Ming Jin work?
Ming Jin's main affiliation in the publication record is Griffith University, Australia.
How many publications and citations does Ming Jin have?
Science Explorer counts 25 works and 32 citations for Ming Jin, ranking #1,410,873 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 Ming Jin
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- ming-jin-university-of-california-berkeley
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- ming-jin-harbin-institute-of-technology
- ming-jin-yanbian-university
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