Ming-Cheng Cheng
Ming-Cheng Cheng publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Model Reduction and Neural Networks, Photonic and Optical Devices and Advancements in Semiconductor Devices and Circuit Design.
- World rank
- #4,824,182 of 7,710,434 ranked researchers
- Rank in United States
- #1,262,661 of 1,627,098
- Works
- 21
- Citations
- 135
- Citations per work
- 6.4
What does Ming-Cheng Cheng research?
Ming-Cheng Cheng's work is mostly in Engineering (38%), Physics and Astronomy (21%), Computer Science (18%).
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 Sciences1676.8%
- Engineering837.5%
- Physics and Astronomy421.4%
- Computer Science417.9%
- Everything else523.2%
- 1Electrical and Electronic Engineering34% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Statistical and Nonlinear Physics11% of their works
- 4Atomic and Molecular Physics, and Optics11% of their works
- 5Hardware and Architecture5% of their works
- 6Computational Mechanics4% of their works
Research topics
- Model Reduction and Neural Networks
- Photonic and Optical Devices
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Parallel Computing and Optimization Techniques
- 3D Shape Modeling and Analysis
- Semiconductor materials and devices
Which keywords describe Ming-Cheng Cheng's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Model Reduction, Partial Differential Equations, Nanowire Transistors, Optical Modulators, Silicon Photonics and Tunnel Field-Effect Transistors.
- Shape Matching
- Performance Optimization
- Local Descriptors
- Feature Matching
- Atomic Layer Deposition
- Tunnel Field-Effect Transistors
- Optical Modulators
- Partial Differential Equations
- Machine Learning
- Deep Learning
- Model Reduction
- Nanowire Transistors
- Silicon Photonics
- 3D Reconstruction
- Content-Based Image Retrieval
- High-k Dielectrics
- Parallel Computing
- Point Clouds
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 18 words, with their numbers
- Deep Learning93 topics
- Machine Learning72 topics
- Model Reduction51 topic
- Partial Differential Equations51 topic
- Nanowire Transistors31 topic
- Optical Modulators31 topic
- Silicon Photonics31 topic
- Tunnel Field-Effect Transistors31 topic
- 3D Reconstruction21 topic
- Atomic Layer Deposition21 topic
- Content-Based Image Retrieval21 topic
- Feature Matching21 topic
- High-k Dielectrics21 topic
- Local Descriptors21 topic
- Parallel Computing21 topic
- Performance Optimization21 topic
- Point Clouds21 topic
- Shape Matching21 topic
Where does Ming-Cheng Cheng work?
Ming-Cheng Cheng's main affiliation in the publication record is Clarkson University, United States.
How many publications and citations does Ming-Cheng Cheng have?
OpenAlex counts 21 works and 135 citations for Ming-Cheng Cheng, an h-index of 5, ranking #4,824,182 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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