Skip to main navigation
Skip to search
Skip to main content
Arizona State University Home
Search content at Arizona State University
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Equipment
Grants
Datasets
Prizes
View Scopus Profile
Hao Yan
Assistant Professor
Associate Professor
,
Engineering, Ira A. Fulton Schools of (IAFSE)
Assistant Professor
,
ASU-Mayo Center for Innovative Imaging (AMCII)
Assistant Professor
,
Industrial, Systems and Operations Engineering
Assistant Professor
,
Complex System Safety, Center for
Assistant Professor
,
Molecular Sciences, School of (SMS)
Assistant Professor
,
Molecular Design and Biomimetics, Center for (MDB)
h-index
1804
Citations
23
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2014
2026
Research activity per year
Overview
Fingerprint
Network
Scholarly Works
(65)
Grants
(10)
Datasets
(12)
Similar Profiles
(6)
Fingerprint
Dive into the research topics where Hao Yan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Anomaly Detection
100%
Case Study
86%
Process Monitoring
62%
Deep Learning Method
52%
Point Cloud
49%
Principal Components
31%
Component Analysis
31%
Neural Network Model
29%
Computer Assisted Tomography
29%
Simulation Study
27%
Multitask Learning
26%
Multiple Sensor
26%
Features Detection
24%
Spatiotemporal Data
24%
Aviation Accident
24%
Data Processing
24%
Weather Condition
24%
Convolutional Neural Network
24%
Optimization Algorithm
23%
Fault detection
22%
Term Prediction
18%
Efficient Algorithm
18%
Partial Differential Equation
18%
Learning Framework
18%
Prediction Model
16%
Laplace Operator
16%
Superior Performance
16%
Transfer Learning
15%
Decomposition Method
15%
Learning Approach
15%
Process Variable
15%
Neural Network
14%
Variational Autoencoder
14%
Sparsity
14%
Detection Accuracy
14%
Interpretability
14%
Additive Manufacturing
14%
Prediction Accuracy
14%
Monitoring System
14%
High Dimensionality
13%
Network Parameter
12%
Edge Computing
12%
Deep Convolutional Neural Networks
12%
Spatiotemporal Graph
12%
Monitoring Data
12%
Constraint Learning
12%
Segmentation Label
12%
Latent Dirichlet Allocation
12%
Event Extraction
12%
Data Fusion Multiple Sensor
12%
Keyphrases
Deep Learning
28%
Lesion Detection
26%
Degradation Signal
24%
Tensor Decomposition
24%
Sparse Decomposition
24%
Dental Cone-beam Computed Tomography
24%
Rapid Detection
24%
Machine Degradation
24%
Feature Detection
24%
Multi-task Learning
24%
Image Dataset
24%
U-Net
24%
Cone-beam Computed Tomography
21%
Artificial Intelligence
20%
Multichannel Profiles
19%
Decomposition Method
18%
Production System
18%
Structured Point Clouds
18%
Least Absolute Shrinkage and Selection Operator (LASSO)
18%
Multi-modal Segmentation
18%
Anomaly Detection
17%
Knowledge Constraints
17%
Neural Network Model
16%
Functional Principal Component Analysis
16%
Multi-channel
16%
Cumulative Sum
16%
Performance Evaluation
16%
CT Images
16%
Detection Accuracy
15%
Profiling Sensors
15%
Time Machine
15%
Spatiotemporal
14%
Medical Imaging
14%
Computed Tomography Segmentation
14%
Two-machine
14%
Remaining Life Prediction
14%
System Performance
14%
Segment Detection
14%
Periapical Lesion
14%
Smooth Sparse Decomposition
13%
Proposed Methodology
12%
Multiple Sensors
12%
Tensor Regression
12%
Spatio-temporal Anomaly Detection
12%
Profile Monitoring
12%
Electrical Conduction
12%
Hidden Markov Model
12%
Wave number
12%
Kolmogorov-Arnold Networks
12%
Additive Kernel
12%
Engineering
Process Monitoring
38%
Point Cloud
37%
Predictive Maintenance
37%
Case Study
33%
Systems Performance
29%
Production System
24%
Multiple Sensor
24%
Anomaly Detection
19%
NASA
19%
Aircraft
19%
Carbon Nanotube
18%
Raman Spectra
18%
Turbofan Engines
16%
Parameter Estimation
15%
Production Performance
14%
Life Prediction
14%
Quality Control
14%
Signal-dependent Noise
14%
Dimensionality
14%
System State
13%
Deep Learning Method
12%
Multichannel
12%
Component Analysis
12%
Principal Components
12%
Frequency Domain
12%
Autoencoder
12%
Learning Approach
12%
Defect Detection
12%
Constrainedness
12%
Remaining Useful Life
12%
Solar Energy
12%
Source Information
12%
Signal-to-Noise Ratio
12%
Rank Tensor
12%
Operational Condition
12%
Plate Structure
12%
Autoregressive moving average model
12%
Multi-Fidelity
12%
Data Series
12%
Partially Observable Markov Decision Process
12%
Tensor Voting
12%
Surface Anomaly
12%
Solar Power Generation
12%
Performance Analysis
12%
Processing Technique
12%
Solar Pv System
12%
Degradation Time
12%
Data Fusion Multiple Sensor
12%
Power Generation
12%
Nanomanufacturing System
11%
