Hongbin Chen
Biographic Data
| ID | 3620540 |
|---|---|
| NAME | Hongbin Chen |
| GIVEN NAMES | Hongbin |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN H |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-4008-3704 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
DeM-FCN: An ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking
Introduction: Wearable human activity recognition has become an important component of intelligent fitness tracking, but deploying accurate recognition models on resource-constrained edge devices remains challenging. Existing deep learning methods often rely on recurrent structures, attention mechanisms, or complex hybrid architectures, which increase computational cost and limit real-time deployment. Methods: This study proposes DeM-FCN, a light…
Global, regional, and national burdens of pancreatitis in children and adolescents aged 0–24 years from 1992 to 2021: A trend analysis based on the global burden of disease study 2021
Background: The younger onset of pancreatitis presents a significant public health challenge. This study aims to analyze the global burden of pancreatitis in younger populations based on the Global Burden of Disease 2021. Methods: This study uses incidence rates and Disability-Adjusted Life Years (DALYs) to assess the burden of pancreatitis. Joinpoint modeling was used to assess the trend of the burden. Age-Period-Cohort (APC) modeling was used t…
Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan
Rapid acquisition of 3D reconstruction models of landslides is crucial for post-disaster emergency response and rescue operations. This study explores the application potential of Neural Radiance Fields (NeRF) technology for rapid post-disaster site modeling and performs a comparative analysis with traditional photogrammetry methods. Taking a landslide induced by heavy rainfall in Sasebo City, Japan, as a case study, this research utilizes drone-…
Long-term ozone variability in the vertical structure and integrated column over the North China Plain: Results based on ozonesonde and Dobson measurements during 2001–2019
Ozonesonde launches were routinely performed in Beijing from March 2001 to February 2019 to generate a unique long-term (18 years) vertical ozone profile dataset over mainland China. This study elucidates the vertical ozone structure on various temporal scales during this 18 years period by using the entire ozonesonde data product for the first time. Moreover, the long-term variability in the integrated ozone column over the North China Plain (NC…
Family Issues in End-of-life Decision Making and End-of-life Care
Family members are involved in every aspect of end-of-life decision making and care. The present article reviews family involvement in providing care during chronic and terminal illness, in discussions and plans for advance directives, in decision making during chronic illness, in executing advance directives and making critical decisions near the end of life, and the long-lasting effects of caregiving and difficult decisions on the family member…
Hypoglycemic effects of aqueous extract of Rhizoma Polygonati Odorati in mice and rats
Family Issues in End-of-life Decision Making and End-of-life Care
Family members are involved in every aspect of end-of-life decision making and care. The present article reviews family involvement in providing care during chronic and terminal illness, in discussions and plans for advance directives, in decision making during chronic illness, in executing advance directives and making critical decisions near the end of life, and the long-lasting effects of caregiving and difficult decisions on the family member…
Hypoglycemic effects of aqueous extract of Rhizoma Polygonati Odorati in mice and rats
Family Issues in End-of-life Decision Making and End-of-life Care
Family members are involved in every aspect of end-of-life decision making and care. The present article reviews family involvement in providing care during chronic and terminal illness, in discussions and plans for advance directives, in decision making during chronic illness, in executing advance directives and making critical decisions near the end of life, and the long-lasting effects of caregiving and difficult decisions on the family member…
Long-term ozone variability in the vertical structure and integrated column over the North China Plain: Results based on ozonesonde and Dobson measurements during 2001–2019
Ozonesonde launches were routinely performed in Beijing from March 2001 to February 2019 to generate a unique long-term (18 years) vertical ozone profile dataset over mainland China. This study elucidates the vertical ozone structure on various temporal scales during this 18 years period by using the entire ozonesonde data product for the first time. Moreover, the long-term variability in the integrated ozone column over the North China Plain (NC…
Global, regional, and national burdens of pancreatitis in children and adolescents aged 0–24 years from 1992 to 2021: A trend analysis based on the global burden of disease study 2021
Background: The younger onset of pancreatitis presents a significant public health challenge. This study aims to analyze the global burden of pancreatitis in younger populations based on the Global Burden of Disease 2021. Methods: This study uses incidence rates and Disability-Adjusted Life Years (DALYs) to assess the burden of pancreatitis. Joinpoint modeling was used to assess the trend of the burden. Age-Period-Cohort (APC) modeling was used t…
Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan
Rapid acquisition of 3D reconstruction models of landslides is crucial for post-disaster emergency response and rescue operations. This study explores the application potential of Neural Radiance Fields (NeRF) technology for rapid post-disaster site modeling and performs a comparative analysis with traditional photogrammetry methods. Taking a landslide induced by heavy rainfall in Sasebo City, Japan, as a case study, this research utilizes drone-…
DeM-FCN: An ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking
Introduction: Wearable human activity recognition has become an important component of intelligent fitness tracking, but deploying accurate recognition models on resource-constrained edge devices remains challenging. Existing deep learning methods often rely on recurrent structures, attention mechanisms, or complex hybrid architectures, which increase computational cost and limit real-time deployment. Methods: This study proposes DeM-FCN, a light…
Medicine (3 works) · Geology (2 works) · Internal Medicine (2 works) · 3D Surveying and Cultural Heritage (1 works) · Accelerometer (1 works) · Activity recognition (1 works) · Advance care planning (1 works) · Affect (linguistics) (1 works) · Artificial Intelligence (1 works) · Atmospheric aerosols and clouds (1 works)