Changgen Li
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Professor
Also affiliated: Jiangsu Normal University (2013–2025); Beijing Institute of Technology (2025); Anhui Agricultural University (2005); Beijing University of Technology (2015–2016); Yancheng Teachers University (2025); Children's Hospital of Chongqing Medical University (2022–2025); Jiangsu Key Laboratory for Bioresources of Saline Soils (2025); Southwest Jiaotong University (2021–2024); Changchun University (2024–2025); Jiangxi Agricultural University (2024); Chongqing Medical University (2024–2025); Politecnico di Milano (2023)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Changgen Li's research focuses on machine monitoring and tool wear, investigating methods for condition monitoring and data analysis in machining processes. His work includes developing and evaluating new algorithms for anomaly detection, such as similarity-measured isolation forests, to identify issues in machine monitoring data. Li has also explored the use of machine vision and multi-feature fusion techniques, incorporating time-space attention mechanisms, to achieve adaptive online condition monitoring for milling cutters. His research extends to signal segmentation methods for composite material drilling and countersinking operations. Li's scholarship metrics include an h-index of 15, with 69 total publications and 775 citations. He has collaborated with researchers at the University of Arkansas at Fayetteville, including Han Hu (8 shared publications) and Christy Dunlap (6 shared publications).
Metrics
- h-index: 15
- Publications: 68
- Citations: 778
Positions
-
Professor publications 2024–2025University of Arkansas at Fayetteville Institution web page
Selected Publications
-
BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
-
BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
-
Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images (2025)
-
Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation (2025)
-
Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images (2025)
-
Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing (2025)
-
Unveiling hysteresis of transient boiling: A multimodal perspective (2024)
-
Unveiling Hysteresis of Transient Boiling: A Multimodal Perspective (2024)
-
A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling (2024)
-
BubbleID: A deep learning framework for bubble interface dynamics analysis (2024)
-
Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads (2024)
-
Acoustic Characterization of Integrated Circuits During Operation (2024)
-
Multimodal Boiling Dataset with Synchronized Acoustic, Optical, and Thermal Measurements Under Steady-State and Transient Heat Loads (2024)
Collaboration Network
Top Collaborators
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
Showing 5 of 12 shared publications
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
- Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation
Showing 5 of 8 shared publications
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
Showing 5 of 7 shared publications
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
- Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation
- Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
Similar Researchers
Based on overlapping research topics