Jianhua Zhang
Biographic Data
| ID | 3655530 |
|---|---|
| NAME | Jianhua Zhang |
| GIVEN NAMES | Jianhua |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG J |
| AFFILIATIONS | Zhengzhou University |
| ORCID | 0009-0002-8316-7545 |
| VERIFIED | Yes |
| TOTAL WORKS | 33 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 33 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Examining the Dynamics of Green Business Model Innovation: A Dual Perspective of Strategic Orientation and Green Dynamic Capabilities
Green business model innovation (GBMI) is a decisive driver of sustainable development, yet its implementation from strategic and capability perspectives remains underexplored. To address this gap, this study adopts the hierarchical linear regression and “fuzzy set qualitative comparative analysis (fsQCA)” to examine the relationship among green entrepreneurial orientation (GEO) facets, green dynamic capabilities (GDCs), and organizational resili…
Toward Sustainable Manufacturing: Green Knowledge, Leadership, and Innovation as Drivers of Environmental Performance
Environmental pollution caused by industrial activities continues to be a challenge for sustainable development, particularly in manufacturing sectors. This study investigates the effects of green knowledge management (GKM) and green transformational leadership (GTL) on environmental performance (EP) of China's manufacturers of renewable energy products. Drawing from the resource‐based and knowledge‐based view, survey evidence was collected from …
Which constructs should we target? Identifying the most critical motivation and engagement components in online learning environments
Online learning has become a dominant mode of education in the digital era. However, students’ low levels of motivation and engagement in online learning continue to undermine its effectiveness. It is important to identify the motivation and engagement components that are most critical and should be prioritized for intervention. Furthermore, the extent to which the critical motivation and engagement components differ across genders remains undere…
Students' use patterns of generative artificial intelligence during problem‐solving in an intelligent learning system: Achievement goal orientation matters
While generative artificial intelligence (GenAI) tools demonstrate potential for enhancing students' learning outcomes, little is known about how students use GenAI at the micro‐level, particularly regarding when and how they seek assistance during self‐regulated learning (SRL). This study examined how learners' achievement goal orientations influence GenAI use patterns during problem‐solving within an AI‐powered learning environment. A total of …
Unravelling dynamic trajectories of epistemic emotions in a technology‐enhanced problem‐solving task: A multimodal data approach
BACKGROUND: Scholars have reached a consensus on the influential roles and dynamic characteristics of epistemic emotions during the problem-solving process; however, few research provided empirical evidence to reveal the temporal progression of these emotions. AIMS: This study leverages multimodal data-self-reports and physiological sensors-to examine variations in a focal epistemic emotion across learning phases and performance levels and to unc…
Responsible leadership as a catalyst for sustainable performance: A perspective on psychological and knowledge search mechanisms
Drawing on social exchange theory, this study examines how responsible leadership contributes to sustainable performance by shaping employees’ knowledge search behaviors and how work morale conditions these relationships. This study was conducted in Pakistan’s healthcare sector which operates under high pressure and limited resources. Using a two-wave survey design, data were collected from healthcare professionals and analyzed using partial leas…
Psychological safety as a key moderator: Exploring digital leadership, flow and improvisational ability through a dual PLS-SEM and fsQCA approach
This study examines how digital leadership influences employees' cognitive and affective competencies, emphasizing the mediating role of flow at work and the moderating effect of psychological safety. Drawing on flow theory, it investigates how digital leadership enhances improvisational ability (cognitive dimension) and emotional commitment (affective dimension) in knowledge-based industries undergoing digital transformation. Adopting a mixed-me…
Association between air pollution and non-accidental mortality in Guiyang, China: A time-series analysis (2013–2023)
Background Air pollution remains one of the leading environmental risk factors for human health globally, significantly contributing to the burden of disease and premature mortality. The relationship between air pollutants and non-accidental deaths in Guiyang was unclear. Method Descriptive analysis was conducted to characterize air pollutants and mortality trends during the study period. A time-stratified case-crossover design and a quasi-Poisso…
The relationship between early adolescent bullying victimization and suicidal ideation: The longitudinal mediating role of self-efficacy
The bullying victimization in early adolescents can directly predict the level of suicidal ideation and can also indirectly influence suicidal ideation by affecting self-efficacy; Suicidal ideation does not directly predict the level of bullying victimization; rather, it can indirectly predict bullying victimization through its impact on self-efficacy
Electronic cigarette use and risk of chronic kidney disease: A dose-response analysis with propensity score matching in a nationally representative cohort
E-cigarette use is independently associated with CKD in a dose-dependent manner, particularly among non-diabetic individuals. Notably, NHANES data limitations include lack of past e-cigarette use or smoking history records, which may introduce residual confounding. These findings highlight vaping as a modifiable risk factor for kidney disease, urging targeted public health interventions
Global burden, socioeconomic disparities, and spatiotemporal dynamics of opioid use disorder mortality and disability: A comprehensive analysis from the global burden of disease study 2017-2021
The escalating global burden of opioid use disorder (OUD) necessitates a nuanced understanding of its epidemiological patterns, socioeconomic determinants, and temporal trends. This study quantifies the global, regional, and national burden of OUD-related mortality and disability, evaluates policy correlates, and identifies critical disparities across demographic and socioeconomic strata. Using data from the Global Burden of Diseases, Injuries, a…
Trends in overweight and socioeconomic inequality among children and adolescents aged 7–18 years in China from 2010 to 2020
This study revealed that the prevalence of overweight among Chinese children and adolescents continue to increase from 2010 to 2020 and that socioeconomic inequality in overweight prevalence increase among boys and decrease among girls. Intervention policies and measures should be developed for high-risk groups to prevent the prevalence of overweight and reduce socioeconomic inequality
Knowledge as the Engine: Transforming Healthcare Delivery Through Information and Communications Technology Applying a Sustainable Development Framework
The future of health in Ghana is indeed a complex and multifaceted landscape characterized by both challenges and promising opportunities. Such opportunities lie in adopting technology, which can revolutionize healthcare knowledge management and elevate healthcare quality in Ghana. As such, this study tested the prognosis using the lens of the technology acceptance model (TAM) to investigate information and communications technology (ICT) assimil…
Beyond intelligence: Exploring the role of growth mindsets in the domain of social–emotional skills
BACKGROUND: Growth mindsets refer to the belief that personal attributes can be developed and improved through learning and effort. Much of the prior work on mindsets has focused on mindsets of intelligence, with little attention devoted to whether and how growth mindsets might also be relevant to the domain of social-emotional skills. AIMS: To address this gap, this study aimed to extend research on growth mindsets to the domain of social-emotio…
Examining L2 studentsʼ development of global cohesion and its relationship with their argumentative essay quality
Cohesion is vital for connecting messages in writing, but there has been a dearth of studies focusing on the development of cohesion. Taking a Complex Dynamic Systems Theory (CDST) perspective, this longitudinal case study investigated the development of L2 learnersʼ use of global cohesion and its relationship with their argumentative writing quality over an academic year. Four English-as-a-foreign-language (EFL) learners at a university in Weste…
Simulating household energy behavior diffusion using spatial microsimulation and econometric models
Analyzing household energy behaviors from a spatial perspective is crucial for both policymakers and network operators. However, conducting spatial analysis at a fine scale presents significant challenges, primarily due to data scarcity. This article demonstrates the potential of integrating spatial microsimulation and spatial econometric models to address this issue. Specifically, we construct a static spatial microsimulation model to create a s…
Lexical cohesion development in English as a foreign language learners' argumentative writing: A latent class growth model approach
Cognitive load patterns affect temporal dynamics of self-regulated learning behaviors, metacognitive judgments, and learning achievements
The inclusive analysis of green technology implementation impacts on employees age, job experience, and size in manufacturing firms: Empirical assessment
Education and development of rehabilitation therapy in China under the background of aging
The World Health Organization (WHO) estimates that about one-third of people worldwide currently have a need for rehabilitation. This demand is expected to increase in the coming years due to changes in population health and characteristics. For example, with the intensification of global aging, the rehabilitation needs of patients with chronic diseases and disabilities, postoperative dysfunction, and cognitive impairment continue to grow, and em…
A novel forecasting based scheduling method for household energy management system based on deep reinforcement learning
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential building using Artificial Neural Network (ANN) algorithms: Feedforward networks and Layer recurrent neural networks. In order to evaluate the ventilation performance in a residential building, an impact factor was determined for t…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Environmental good exports and green total factor productivity: Lessons from China
Trade liberalization for environmental goods (EG) could pave the way for a “win‐win” scenario for both the economy and the environment. This study examines the impact of environmental good exports on the comprehensive economic development and environmental protection index, green total factor productivity (GTFP), using a Chinese city‐level panel dataset from 2003 to 2015. Overall, our findings indicate that EG exports are detrimental to China's g…
Association of Circulating ANGPTL8 Levels With Renal Dysfunction: A Case-Control Study
Background: Chronic kidney disease (CKD) is recognized as a major public health problem with high morbidity and mortality worldwide. Recently, angiopoietin-like protein 8 (ANGPTL8) was found to regulate lipid metabolism. Previous studies suggested that serum ANGPTL8 levels increased in patients with diabetes, especially in diabetic patients with albuminuria. This study aimed to investigate the association between circulating levels of ANGPTL8 and…
Environmental good exports and green total factor productivity: Lessons from China
Trade liberalization for environmental goods (EG) could pave the way for a “win‐win” scenario for both the economy and the environment. This study examines the impact of environmental good exports on the comprehensive economic development and environmental protection index, green total factor productivity (GTFP), using a Chinese city‐level panel dataset from 2003 to 2015. Overall, our findings indicate that EG exports are detrimental to China's g…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
A Reconstruction and Representation System for 3D Digital Archaeological Documentation – A Case Study of Dahecun Archaeological Site in China
In Dahecun, a famous archaeological site in China, the cultural strata have accumulated up to 12.5 meters, including archaeological remains covering 3,300 years. In order to improve the precision and convenience of archaeological work, a digitally aided 3D archaeological reconstruction and representation system is designed for the support of archaeological work and subsequent research and virtual reconstruction and representation of immediate sit…
Anti-inflammatory activity studies on the stems and roots of Jasminum lanceolarium Roxb
Study of Hybrid PVA/MA/Teos Pervaporation Membrane and Evaluation of Energy Requirement for Desalination by Pervaporation
Desalination by pervaporation is a membrane process that is yet to be realized for commercial application. To investigate the feasibility and viability of scaling up, a process engineering model was developed to evaluate the energy requirement based on the experimental study of a hybrid polyvinyl alcohol/maleic acid/tetraethyl orthosilicate (PVA/MA/TEOS) Pervaporation Membrane. The energy consumption includes the external heating and cooling requ…
Morinda officinalis How. – A comprehensive review of traditional uses, phytochemistry and pharmacology
Enhancement of COD Removal from Oilfield Produced Wastewater by Combination of Advanced Oxidation, Adsorption and Ultrafiltration
The wastewater produced from the oilfield is chemically corrosive due to high salinity in combination with high temperatures. It is also rich in contaminants, such as oil, polyacrylamide, emulsions, suspended solid, etc. The density difference between the oil and water in the wastewater is low, which makes separation via gravity difficult. In this study, a combined pilot treatment is studied, which includes Fenton oxidation, settlement, activated…
Cohesion, coherence and temporal reference from an experimental corpus pragmatics perspective
This article reviews Cohesion, Coherence and Temporal Reference from an Experimental Corpus Pragmatics Perspective
Association of Circulating ANGPTL8 Levels With Renal Dysfunction: A Case-Control Study
Background: Chronic kidney disease (CKD) is recognized as a major public health problem with high morbidity and mortality worldwide. Recently, angiopoietin-like protein 8 (ANGPTL8) was found to regulate lipid metabolism. Previous studies suggested that serum ANGPTL8 levels increased in patients with diabetes, especially in diabetic patients with albuminuria. This study aimed to investigate the association between circulating levels of ANGPTL8 and…
Do industrial pollution activities in China respond to ecological fiscal transfers? Evidence from payments to national key ecological function zones
The policy of payments to National Key Ecological Function Zones (NKEFZs), a type of instrument for Ecological Fiscal Transfers, has been introduced in China. We employed propensity score matching and difference in difference estimation to investigate the effectiveness of this policy on the reduction of industrial pollution. We found evidence that the policy had reduced pollution-intensive activity in the NKEFZs. Meanwhile, implementation of the …
Supply-Side Structural Reform in the Service Industry and Escaping the Middle Income Trap
The internal consumption and production structure of the service industry that now dominates the Chinese economy needs to be optimized. Introducing supply-side structural reform to improve the in-depth integration of advanced manufacturing and the modern service industry and promoting a strong domestic market is the key to escaping the middle income trap. We use 1950-2010 data from 45 non-oil-exporting economies representing the structural evolut…
Education and development of rehabilitation therapy in China under the background of aging
The World Health Organization (WHO) estimates that about one-third of people worldwide currently have a need for rehabilitation. This demand is expected to increase in the coming years due to changes in population health and characteristics. For example, with the intensification of global aging, the rehabilitation needs of patients with chronic diseases and disabilities, postoperative dysfunction, and cognitive impairment continue to grow, and em…
A novel forecasting based scheduling method for household energy management system based on deep reinforcement learning
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential building using Artificial Neural Network (ANN) algorithms: Feedforward networks and Layer recurrent neural networks. In order to evaluate the ventilation performance in a residential building, an impact factor was determined for t…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Environmental good exports and green total factor productivity: Lessons from China
Trade liberalization for environmental goods (EG) could pave the way for a “win‐win” scenario for both the economy and the environment. This study examines the impact of environmental good exports on the comprehensive economic development and environmental protection index, green total factor productivity (GTFP), using a Chinese city‐level panel dataset from 2003 to 2015. Overall, our findings indicate that EG exports are detrimental to China's g…
Lexical cohesion development in English as a foreign language learners' argumentative writing: A latent class growth model approach
Cognitive load patterns affect temporal dynamics of self-regulated learning behaviors, metacognitive judgments, and learning achievements
The inclusive analysis of green technology implementation impacts on employees age, job experience, and size in manufacturing firms: Empirical assessment
Association between air pollution and non-accidental mortality in Guiyang, China: A time-series analysis (2013–2023)
Background Air pollution remains one of the leading environmental risk factors for human health globally, significantly contributing to the burden of disease and premature mortality. The relationship between air pollutants and non-accidental deaths in Guiyang was unclear. Method Descriptive analysis was conducted to characterize air pollutants and mortality trends during the study period. A time-stratified case-crossover design and a quasi-Poisso…
The relationship between early adolescent bullying victimization and suicidal ideation: The longitudinal mediating role of self-efficacy
The bullying victimization in early adolescents can directly predict the level of suicidal ideation and can also indirectly influence suicidal ideation by affecting self-efficacy; Suicidal ideation does not directly predict the level of bullying victimization; rather, it can indirectly predict bullying victimization through its impact on self-efficacy
Electronic cigarette use and risk of chronic kidney disease: A dose-response analysis with propensity score matching in a nationally representative cohort
E-cigarette use is independently associated with CKD in a dose-dependent manner, particularly among non-diabetic individuals. Notably, NHANES data limitations include lack of past e-cigarette use or smoking history records, which may introduce residual confounding. These findings highlight vaping as a modifiable risk factor for kidney disease, urging targeted public health interventions
Global burden, socioeconomic disparities, and spatiotemporal dynamics of opioid use disorder mortality and disability: A comprehensive analysis from the global burden of disease study 2017-2021
The escalating global burden of opioid use disorder (OUD) necessitates a nuanced understanding of its epidemiological patterns, socioeconomic determinants, and temporal trends. This study quantifies the global, regional, and national burden of OUD-related mortality and disability, evaluates policy correlates, and identifies critical disparities across demographic and socioeconomic strata. Using data from the Global Burden of Diseases, Injuries, a…
Trends in overweight and socioeconomic inequality among children and adolescents aged 7–18 years in China from 2010 to 2020
This study revealed that the prevalence of overweight among Chinese children and adolescents continue to increase from 2010 to 2020 and that socioeconomic inequality in overweight prevalence increase among boys and decrease among girls. Intervention policies and measures should be developed for high-risk groups to prevent the prevalence of overweight and reduce socioeconomic inequality
Knowledge as the Engine: Transforming Healthcare Delivery Through Information and Communications Technology Applying a Sustainable Development Framework
The future of health in Ghana is indeed a complex and multifaceted landscape characterized by both challenges and promising opportunities. Such opportunities lie in adopting technology, which can revolutionize healthcare knowledge management and elevate healthcare quality in Ghana. As such, this study tested the prognosis using the lens of the technology acceptance model (TAM) to investigate information and communications technology (ICT) assimil…
Beyond intelligence: Exploring the role of growth mindsets in the domain of social–emotional skills
BACKGROUND: Growth mindsets refer to the belief that personal attributes can be developed and improved through learning and effort. Much of the prior work on mindsets has focused on mindsets of intelligence, with little attention devoted to whether and how growth mindsets might also be relevant to the domain of social-emotional skills. AIMS: To address this gap, this study aimed to extend research on growth mindsets to the domain of social-emotio…
Examining L2 studentsʼ development of global cohesion and its relationship with their argumentative essay quality
Cohesion is vital for connecting messages in writing, but there has been a dearth of studies focusing on the development of cohesion. Taking a Complex Dynamic Systems Theory (CDST) perspective, this longitudinal case study investigated the development of L2 learnersʼ use of global cohesion and its relationship with their argumentative writing quality over an academic year. Four English-as-a-foreign-language (EFL) learners at a university in Weste…
Computer Science (9 works) · Medicine (8 works) · Engineering (7 works) · China (6 works) · Economics (6 works) · Business (5 works) · Population (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Energy, Environment, Economic Growth (4 works)