Huaming Ling
Huaming Ling publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Face and Expression Recognition, Advanced Clustering Algorithms Research and Stochastic Gradient Optimization Techniques.
- World rank
- #6,095,784 of 7,710,434 ranked researchers
- Rank in China
- #857,298 of 978,568
- Works
- 16
- Citations
- 16
- Citations per work
- 1.0
What does Huaming Ling research?
Huaming Ling's work is mostly in Computer Science (57%), Engineering (18%), Neuroscience (4%).
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 Sciences1275.1%
- Computer Science956.9%
- Engineering318.2%
- Everything else315.9%
- Life Sciences14.5%
- Neuroscience14.5%
- Social Sciences14.5%
- Social Sciences14.5%
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Electrical and Electronic Engineering11% of their works
- 4Control and Systems Engineering7% of their works
- 5Cognitive Neuroscience4% of their works
- 6Transportation4% of their works
Research topics
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Text and Document Classification Technologies
- Smart Grid and Power Systems
- Single-cell and spatial transcriptomics
Which keywords describe Huaming Ling's research?
The keywords of their largest research topics: Feature Selection, Deep Learning, Dimensionality Reduction, Face Recognition, Neural Networks, Clustering Algorithms, K-means and Machine Learning.
- Transcriptomics
- Text Classification
- Robustness
- Federated Learning
- Cloud Computing
- Stochastic Gradient Descent
- Machine Learning
- Clustering Algorithms
- Face Recognition
- Deep Learning
- Feature Selection
- Dimensionality Reduction
- Neural Networks
- K-means
- Random Projections
- Adversarial Examples
- Differential Privacy
- Multi-label Learning
- Smart Grid
- Single-Cell
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
- Feature Selection72 topics
- Deep Learning52 topics
- Dimensionality Reduction51 topic
- Face Recognition51 topic
- Neural Networks52 topics
- Clustering Algorithms41 topic
- K-means41 topic
- Machine Learning42 topics
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Adversarial Examples21 topic
- Cloud Computing21 topic
- Differential Privacy21 topic
- Federated Learning21 topic
- Multi-label Learning21 topic
- Robustness21 topic
- Smart Grid21 topic
- Text Classification21 topic
- Single-Cell11 topic
- Transcriptomics11 topic
Where does Huaming Ling work?
Huaming Ling's main affiliation in the publication record is China Southern Power Grid (China), China.
How many publications and citations does Huaming Ling have?
OpenAlex counts 16 works and 16 citations for Huaming Ling, an h-index of 3, ranking #6,095,784 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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