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.
Researcher
Also affiliated: Changchun University of Science and Technology (2024–2025); Jiangsu Normal University (2010–2025); Beijing Institute of Technology (2025); Anhui Agricultural University (2005); Beijing Electronic Science and Technology Institute (2025); Beijing University of Technology (2015–2016); Yancheng Teachers University (2025); Children's Hospital of Chongqing Medical University (2022–2025); Southwest Jiaotong University (2021–2024); Changchun University (2024–2025); Jiangxi Agricultural University (2024); Chongqing Medical University (2022–2025); Politecnico di Milano (2023)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Changgen Li's research focuses on developing and applying advanced computational methods for monitoring and analysis. His work includes the development of similarity-measured isolation forests for anomaly detection in machine monitoring data, and machine vision-based adaptive online condition monitoring for milling cutters. Li has also investigated novel time-space attention mechanisms for multi-feature fusion in tool wear monitoring and signal segmentation methods for composite material drilling and countersinking. In addition to these engineering applications, his research extends to the molecular mechanisms of plant compounds, specifically investigating how purple sweet potato delphinidin-3-rutin represses glioma proliferation by inducing specific microRNA and autophagy pathways. He has also explored cultivable endophyte resources in medicinal plants and their effects on host organisms. Li holds a h-index of 14, with 69 total publications and 728 citations.
Metrics
- h-index: 15
- Publications: 69
- Citations: 754
Selected Publications
-
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 9 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
- 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
- Unveiling Hysteresis of Transient Boiling: A Multimodal Perspective
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
- 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
- Acoustic Characterization of Integrated Circuits During Operation
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- 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
Similar Researchers
Based on overlapping research topics