Yonghong Zhang
Biographic Data
| ID | 3725285 |
|---|---|
| NAME | Yonghong Zhang |
| GIVEN NAMES | Yonghong |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | Nanjing University of Information Science and Technology |
| ORCID | 0000-0001-6609-0553 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 123 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Multicenter epidemiological distribution, pathogens, and drug-resistance characteristics of chronic osteomyelitis in Central China
Introduction The incidence of chronic osteomyelitis increases annually. Currently, epidemiological data on chronic osteomyelitis in Central China are scarce. Describing the epidemiological distribution, pathogens, and drug resistance characteristics of patients with chronic osteomyelitis in Central China is critical for its prevention and control. In this study, we aimed to statistically analyze patients with chronic osteomyelitis from four local…
Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods
The number of surgeries, antibiotics use density, critical disease rate and unreasonable prescription rate and other key indicators could be fitted to be the threshold predictions of INI and quantitative early warning
Maafeu-Net
The classification of land use information is important for land resource management. With the purpose of extracting precise spatial information, we present a novel land use classification model based on a mixed attention module and adjustable feature enhancement layer (MAAFEU-net). Our unique design, the mixed attention module, allows the model to concentrate on target-specific discriminative features and capture class-related features within di…
Estimating China’s CO2 emissions under the influence of Covid-19 epidemic using a novel fractional multivariate nonlinear grey model
Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of labeling cloud and snow areas using deep learning technology has been gradually developed to improve the accuracy and efficiency of recognition. In this paper, from the perspective of designing a…
Association between annual household income and adverse outcomes in patients who had ischaemic stroke
BACKGROUND AND PURPOSE: The association between annual household income and prognosis of ischaemic stroke remains debatable. We aimed to prospectively investigate the relationship between annual household income and prognosis at 3 months after ischaemic stroke. METHODS: We included 3975 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. All participants were categorised into three groups according to annual household inc…
Occupational class differences in outcomes after ischemic stroke
Compared with white-collar workers, farmers are associated with less risk of cardiovascular events at 12 months after ischemic stroke, while there are no significant differences in blue-collar workers
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
An update on overweight and obesity in rural Northeast China
The prevalence of obesity in rural Northeast China exhibited a remarkably increasing upwards trend. General and abdominal obesity were associated with different subtypes of cardiometabolic comorbidities, the combined effects of which on the comorbidities dramatically increased
The Power of Instability
This article develops an interactive and relational conception of infrastructural state power for studying the capacity of authoritarian regimes to absorb popular protests. Based on an ethnography of the grassroots state in moments of unrest in China, the authors identify three microfoundations of Chinese authoritarianism: protest bargaining, legal-bureaucratic absorption, and patron-clientelism. Adopting, respectively, the logics of market excha…
Factor Structure of the Chinese Virtues Questionnaire
Objectives: The present study examined the factorial invariance and functional equivalence of the Values in Action Inventory of Strengths (VIA-IS) among the Chinese. Methods: A total of 839 undergraduate students completed the 240-item Simplified Chinese version of the VIA-IS online. Another 40 students participated in qualitative interviews to examine the meaning and function of the items in Chinese culture. Results: A total of 144 items were re…
An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment
Fake news is a prevalent issue in modern society, leading to misinformation, and societal harm. News credibility assessment is a crucial approach for evaluating the accuracy and authenticity of news. It plays a significant role in enhancing public awareness and understanding of news, while also effectively mitigating the dissemination of fake news. However, news credibility assessment meets challenges when processing large-scale and constantly gr…
A Distributed Collaborative Deep Trajectory Encoding Mechanism for Rehabilitation Training in an Intelligent IoT Environment
In the context of rapid advancements in artificial intelligence and machine learning technologies, intelligent Internet of Things (IoT) devices have experienced exponential growth in the healthcare sector. A home-based stroke rehabilitation model has emerged and gained traction domestically, effectively addressing patients’ demands for convenient and secure rehabilitation services. Accurately monitoring upper limb movements serves as the foundati…
The Power of Instability
This article develops an interactive and relational conception of infrastructural state power for studying the capacity of authoritarian regimes to absorb popular protests. Based on an ethnography of the grassroots state in moments of unrest in China, the authors identify three microfoundations of Chinese authoritarianism: protest bargaining, legal-bureaucratic absorption, and patron-clientelism. Adopting, respectively, the logics of market excha…
Factor Structure of the Chinese Virtues Questionnaire
Objectives: The present study examined the factorial invariance and functional equivalence of the Values in Action Inventory of Strengths (VIA-IS) among the Chinese. Methods: A total of 839 undergraduate students completed the 240-item Simplified Chinese version of the VIA-IS online. Another 40 students participated in qualitative interviews to examine the meaning and function of the items in Chinese culture. Results: A total of 144 items were re…
Factor Structure of the Chinese Virtues Questionnaire
Objectives: The present study examined the factorial invariance and functional equivalence of the Values in Action Inventory of Strengths (VIA-IS) among the Chinese. Methods: A total of 839 undergraduate students completed the 240-item Simplified Chinese version of the VIA-IS online. Another 40 students participated in qualitative interviews to examine the meaning and function of the items in Chinese culture. Results: A total of 144 items were re…
The Power of Instability
This article develops an interactive and relational conception of infrastructural state power for studying the capacity of authoritarian regimes to absorb popular protests. Based on an ethnography of the grassroots state in moments of unrest in China, the authors identify three microfoundations of Chinese authoritarianism: protest bargaining, legal-bureaucratic absorption, and patron-clientelism. Adopting, respectively, the logics of market excha…
An update on overweight and obesity in rural Northeast China
The prevalence of obesity in rural Northeast China exhibited a remarkably increasing upwards trend. General and abdominal obesity were associated with different subtypes of cardiometabolic comorbidities, the combined effects of which on the comorbidities dramatically increased
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
Occupational class differences in outcomes after ischemic stroke
Compared with white-collar workers, farmers are associated with less risk of cardiovascular events at 12 months after ischemic stroke, while there are no significant differences in blue-collar workers
Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of labeling cloud and snow areas using deep learning technology has been gradually developed to improve the accuracy and efficiency of recognition. In this paper, from the perspective of designing a…
Association between annual household income and adverse outcomes in patients who had ischaemic stroke
BACKGROUND AND PURPOSE: The association between annual household income and prognosis of ischaemic stroke remains debatable. We aimed to prospectively investigate the relationship between annual household income and prognosis at 3 months after ischaemic stroke. METHODS: We included 3975 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. All participants were categorised into three groups according to annual household inc…
Maafeu-Net
The classification of land use information is important for land resource management. With the purpose of extracting precise spatial information, we present a novel land use classification model based on a mixed attention module and adjustable feature enhancement layer (MAAFEU-net). Our unique design, the mixed attention module, allows the model to concentrate on target-specific discriminative features and capture class-related features within di…
Estimating China’s CO2 emissions under the influence of Covid-19 epidemic using a novel fractional multivariate nonlinear grey model
Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods
The number of surgeries, antibiotics use density, critical disease rate and unreasonable prescription rate and other key indicators could be fitted to be the threshold predictions of INI and quantitative early warning
Multicenter epidemiological distribution, pathogens, and drug-resistance characteristics of chronic osteomyelitis in Central China
Introduction The incidence of chronic osteomyelitis increases annually. Currently, epidemiological data on chronic osteomyelitis in Central China are scarce. Describing the epidemiological distribution, pathogens, and drug resistance characteristics of patients with chronic osteomyelitis in Central China is critical for its prevention and control. In this study, we aimed to statistically analyze patients with chronic osteomyelitis from four local…
An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment
Fake news is a prevalent issue in modern society, leading to misinformation, and societal harm. News credibility assessment is a crucial approach for evaluating the accuracy and authenticity of news. It plays a significant role in enhancing public awareness and understanding of news, while also effectively mitigating the dissemination of fake news. However, news credibility assessment meets challenges when processing large-scale and constantly gr…
A Distributed Collaborative Deep Trajectory Encoding Mechanism for Rehabilitation Training in an Intelligent IoT Environment
In the context of rapid advancements in artificial intelligence and machine learning technologies, intelligent Internet of Things (IoT) devices have experienced exponential growth in the healthcare sector. A home-based stroke rehabilitation model has emerged and gained traction domestically, effectively addressing patients’ demands for convenient and secure rehabilitation services. Accurately monitoring upper limb movements serves as the foundati…
Internal Medicine (6 works) · Medicine (6 works) · Computer Science (5 works) · Artificial Intelligence (4 works) · Demography (4 works) · Epidemiology (4 works) · Mathematics (4 works) · Biostatistics (3 works) · China (3 works) · Population (3 works)