Meng Wang

Dados Biográficos

ID	3711963
NOME	Meng Wang
PRENOMES	Meng
SOBRENOME	Wang
ASSINATURA	WANG M
AFILIAÇÕES	Hefei University of Technology
ORCID	0000-0001-5799-549X
VERIFICADO	Sim
TOTAL DE OBRAS	166
TOTAL DE CITAÇÕES	31
TOTAL COMO AUTOR	166
TOTAL COMO EDITOR	0
PRIMEIRO ANO DE PUBLICAÇÃO	1983
ANO MAIS RECENTE DE PUBLICAÇÃO	2026
ÍNDICE H	3

Nonviolent communication training among undergraduate medical students in emergency medicine teaching
Open AccessDaishan Jiang, Xiaoyu Yuan et al.ARTICLEBMC Medical Education2026
BACKGROUND: Empathy and effective communication are core competencies in emergency care, yet structured training explicitly targeting these skills is uncommon in undergraduate curricula. We evaluated whether a Nonviolent Communication (NVC) curriculum, a structured framework centered on observation, feelings, needs, and requests, improves empathy and observed communication performance in undergraduate medical students. METHODS: We conducted a sin…
Exploring Implicit Sentiment Analysis Through Progressive Prompting Strategies
Open AccessChang Liu, Chen Gao et al.ARTICLEIEEE Transactions on Computational…2026
Aspect-based sentiment analysis (ABSA) aims to identify aspects and their associated sentiments from text. It can be categorized into explicit sentiment analysis (ESA) and implicit sentiment analysis (ISA). Unlike ESA, ISA lacks explicit sentiment indicators, requiring deeper contextual understanding and multilevel reasoning to infer underlying opinions. To address this challenge, we propose a progressive chain-of-thought-based reasoning framewor…
PhysioSync
Open AccessKai Cui, Jia Li et al.ARTICLEIEEE Transactions on Computational…2026
Electroencephalography (EEG) signals provide a promising and involuntary reflection of brain activity related to emotional states, offering significant advantages over behavioral cues such as facial expressions. However, EEG signals are often noisy, affected by artifacts, and vary across individuals, complicating emotion recognition. While multimodal approaches have used peripheral physiological signals (PPS) such as galvanic skin response to com…
Modeling Long-Term Emotional Support Through Causal World Modeling With Imitation Learning
Open AccessMingzheng Li, Fei Wang et al.ARTICLEIEEE Transactions on Computational…2026
Emotional support conversation systems have emerged as a promising complement to traditional mental health consultations, offering context-aware dialogue to support seekers’ emotional well-being. Despite their potential, two fundamental challenges remain unresolved: 1) modeling long-term emotional trajectory beyond short-term relief; and 2) adapting support strategies to context in a psychologically coherent manner. To address these challenges, w…
Research on the safety evaluation of children's activity space in urban residential areas
Open AccessYang Zhou, Y-N Zhou et al.ARTICLEFrontiers in Public Health2026
Introduction: Residential communities constitute important settings for children's daily outdoor activities, and the perceived safety of outdoor activity spaces among parents and children plays a critical role in shaping children's outdoor activity behaviors. However, rapid urbanization, increasing traffic volumes, and large-scale urban construction have reduced opportunities for safe outdoor activities, contributing to a decline in children's in…
Family burden and caregiver psychological stress in epidermolysis bullosa in China
Open AccessHaoran Kong, Yongchong Chen et al.ARTICLEFrontiers in Public Health2026
Background Epidermolysis Bullosa (EB) is a rare genetic skin disorder requiring long-term intensive care. The disease places considerable economic and caregiving burdens on families, yet factors associated with caregivers’ psychological stress remain inadequately understood. Methods A cross-sectional questionnaire survey was conducted among families of patients with EB. Statistical analysis was performed at the household level. In families with m…
Development, validation, and cost-effectiveness analysis of an AI-assisted three-tiered glaucoma screening model in a community-based setting
Open AccessXiangyu Fu, Jiaying Zhang et al.ARTICLEFrontiers in Public Health2026
Introduction: Glaucoma is the leading irreversible blinding eye disease worldwide and the global prevalence of glaucoma for individuals aged 40-80 years is estimated as 3.54%. Early screening and prevention wherever possible are essential interventions of chronic disease management for glaucoma, but there is currently a lack of a recognized glaucoma screening model for Chinese population. Therefore, this study intends to construct and validate an…
A review of Sarcandra glabra (Thunb.) Nakai polysaccharides
Open AccessMengru Zhang, Xinrui Xu et al.ARTICLEJournal of Ethnopharmacology2026
Sanguisorba officinalis L. polysaccharides
Open AccessWang Meng, Meng Wang et al.ARTICLEJournal of Ethnopharmacology2026
Effects of different exercise interventions on cognitive function in patients with breast cancer
Open AccessYang Cao, Ran Xin et al.ARTICLEActa Psychologica2026
Cognitive impairment, often termed “chemobrain,” significantly impacts the quality of life in breast cancer survivors. While exercise is a recommended intervention, the relative efficacy of different exercise modalities remains unclear. This study aims to compare and rank the effects of various exercise types on cognitive function in breast cancer patients through a network meta-analysis (NMA). We conducted a systematic review of randomized contr…
Research on forest carbon storage modeling method integrating time series remote sensing data and multi-algorithm clustering stratification
Open AccessYunxiang Zhou, Chang Liu et al.ARTICLETrees Forests and People2026
Existing studies mostly focus on a single algorithm, and the research on unsupervised clustering algorithms in improving the accuracy of forest carbon storage estimation is still insufficient. Therefore, based on the 5-period forest inventory data from 1997-2017 in northwest Yunnan and Landsat images, combined with Normalized Difference Vegetation Index (NDVI) time series, K-means clustering (K-Means), Gaussian Mixture Model (GMM), and Self-Organ…
The interactive effects of impervious surface, vegetation, and water on urban land surface temperature
Open AccessYangcen Zhang, Caiyan Wu et al.ARTICLESustainable Cities and Society2026
The anonymity paradox
Open AccessFei Wang, Wang Fei et al.ARTICLELearning Culture and Social…2026
Compacting while shrinking? The evolution of suburban new towns within the megacities of China and Japan
Open AccessMeng Wang, Aleksandra KrstikjARTICLEHabitat International2026
Suburban new towns are currently facing distinct challenges in the context of a transition away from rapid growth, coupled with processes of re-urbanization. Few studies have examined the transformation of new towns, particularly in relation to compact-development policies and in non-Western settings. The main contribution of this study is the construction of composite spatial indexes that quantify both compactness and shrinkage and enable the ch…
The dissemination of China’s development culture in Africa
Open AccessMeng WangARTICLEInternational Communication of…2026
Financial Health at Baccalaureate-Granting Community Colleges in the United States
Open AccessJeremy Wright‐Kim, Jeremy Wright-Kim et al.ARTICLETeachers College Record The Voice…2026
Background: Community colleges remain one of the most underfunded sectors of higher education in the United States, raising concerns about fiscal strain as these institutions continue to “do more with less.” Leveraging newly available data, this study explores the fiscal health of community colleges, including those that “do more” by expanding their missions to include community college baccalaureate (CCB) programs. Research Question: We address …
Shen-Shuai-II-Recipe suppresses hypoxia-induced oxidative stress and ferroptosis via Nrf2 activation to ameliorate renal fibrosis in chronic kidney disease
Open AccessYizeng Xu, Meng Wang et al.ARTICLEJournal of Ethnopharmacology2026
Integrated pathological assessment and multi-omics analysis of the effects of Pinellia ternata aqueous extract on lung and spleen dysfunction in a rat model of phlegm-dampness obstruction
Open AccessLili Yin, Meng Wang et al.ARTICLEJournal of Ethnopharmacology2026
Temporal changes in carbon and oxygen isotopic composition of peatland Sphagnum mosses and implications for paleoenvironmental reconstructions
Open AccessGuangyuan Xu, Zhengyu Xia et al.ARTICLEQuaternary International2026Referências: 79
Confucius Institutes in the Far Eastern Federal District as a Model of International Education in China
Meng WangARTICLEПериферия. Журнал исследования…2025
An investigation into personal data sensitivity in the Internet of Everything—insights from China
Open AccessLI Wei-dong, Yalin Qin et al.ARTICLEHumanities and Social Sciences…2025
The ubiquitous monitoring and collection capabilities of the IoE, as well as its innovative scenarios, have led to changes in the content and type of personal data. Personal data sensitivity, as a standard for measuring privacy attitudes, can provide a reference for the design and improvement of privacy systems. This study aims to evaluate individuals’ personal data sensitivity in the IoE context, to better understand individuals’ current privacy…
Temporal Gated Face Alignment Network for Camera-Based Physiological Sensing
Open AccessQi Li, Dan Guo et al.ARTICLEIEEE Transactions on Computational…2025
The remote photoplethysmography (rPPG) technique estimates vital signs, such as heart rate (HR), by analyzing subtle skin color variation in facial videos induced by the pulse. However, it remains a critical challenge to robustly acquire cardiac pulse information in scenarios with head motion (e.g., rotation and swing), as it inevitably introduces interfering noise, such as facial geometric deformation and displacement. Most existing methods prim…
MLFormer
Open AccessMeng Wang, Changyu Li et al.ARTICLEIEEE Transactions on Computational…2025
Multimodal knowledge graphs (MMKGs) have gained widespread adoption across various domains. However, existing transformer-based methods for MMKG representation learning primarily focus on enhancing representation performance, while overlooking time and memory costs, which reduces model efficiency. To tackle these limitations, we introduce a multimodal lightweight transformer (MLFormer) model, which not only ensures robust representation capabilit…
PsycoLLM
Open AccessJinpeng Hu, Tengteng Dong et al.ARTICLEIEEE Transactions on Computational…2025
Mental health has attracted substantial attention in recent years and large language model (LLM) can be an effective technology for alleviating this problem owing to its capability in text understanding and dialogue. However, existing research in this domain often suffers from limitations, such as training on datasets lacking crucial prior knowledge and evidence, and the absence of comprehensive evaluation methods. In this article, we propose a s…
Emotion Separation and Recognition From a Facial Expression by Generating the Poker Face With Vision Transformers
Open AccessJia Li, Jiantao Nie et al.ARTICLEIEEE Transactions on Computational…2025
Representation learning and feature disentanglement have garnered significant research interest in the field of facial expression recognition (FER). The inherent ambiguity of emotion labels poses challenges for conventional supervised representation learning methods. Moreover, directly learning the mapping from a facial expression image to an emotion label lacks explicit supervision signals for capturing fine-grained facial features. In this arti…