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Discover Mental Health|May 19, 2026
Sex differences in the network structure linking school bullying self- efficacy, resilience and coping strategies among Chinese university studentsTingwei Feng, Guimin Zhang, Buyao Wang
IEEE Transactions on Neural Networks and Learning Systems|August 10, 2026
Beyond Euclidean Tokens: Hyperbolic Structure-Aware Mapping for Dual-Task Scene Parsing With Only Minimal Trainable ParametersJiawei Liu, Da Yang, Tingwei Feng
BMC Medical Education|October 31, 2025
Network analysis of job burnout, job performance, and affect among part-time university faculty: educational implicationsTingwei Feng, Hui Wang, Xiuchao Wang, et al.
Brain Sciences|June 26, 2025
A New Method for Inducing Mental Fatigue: A High Mental Workload Task Paradigm Based on Complex Cognitive Abilities and Time PressureLei Ren, Lin Wu, Tingwei Feng, et al.
Frontiers in Psychiatry|February 16, 2026
Network analysis of psychological resilience, personality traits, and depression-anxiety-stress symptoms among military college students in ChinaYanqin Hou, Guimin Zhang, Mingdi Mi, et al.
Frontiers in Neuroscience|January 1, 2025
Exploring neural mechanisms of gender differences in bodily emotion recognition: a time-frequency analysis and network analysis studyTingwei Feng, Mingdi Mi, Danyang Li, et al.
Brain Sciences|September 23, 2022
Listening to 15 Hz Binaural Beats Enhances the Connectivity of Functional Brain Networks in the Mental Fatigue State-An EEG StudyXinlu Wang, Hongliang Lu, Yang He, et al.
Heliyon|February 17, 2025
The relationships between mental health and social media addiction, and between academic burnout and social media addiction among Chinese college students: A network analysisTingwei Feng, Buyao Wang, Mingdi Mi, et al.
Frontiers in Psychiatry|February 7, 2025
Network analysis of the association between social anxiety and problematic smartphone use in college studentsWanying Xing, Xianyang Wang, Tingwei Feng, et al.
Brain Sciences|August 26, 2023
Network Analysis of Anxiety Symptoms in Front-Line Medical Staff during the COVID-19 PandemicLin Wu, Lei Ren, Fengzhan Li, et al.
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