Dr. Zhang Guowei is an active researcher whose work advances the understanding of psychological health, behavioral patterns, and population-level mental well-being, particularly among young adults in contemporary social environments. His academic influence is demonstrated through 347 citations, 20 publications, and an h-index of 10, reflecting a growing global presence and measurable scholarly impact. His research portfolio integrates empirical analysis, psychometric assessment, and digital-behavior analytics to examine how social, environmental, and technological factors shape mental health outcomes. Dr. Zhang’s contributions include impactful studies on anxiety, depression, insomnia, and PTSD among university students, offering timely insights into evolving psychosocial challenges in the post-pandemic era. His work on time-based online survey patterns and their relationship with offline psychological symptoms provides a novel methodological approach, highlighting his ability to connect digital behavioral traces with real-world psychological states. Through these interdisciplinary inquiries, he addresses urgent public-health concerns and informs evidence-based interventions. With a collaborative network spanning over 70 co-authors, Dr. Zhang actively participates in multi-institutional and cross-regional research efforts. This broad collaborative engagement enhances the robustness of his findings and contributes to the global dialogue on mental health resilience, student well-being, and psychosocial risk assessment. His publications in reputable international journals underscore his commitment to research transparency, open access, and data-driven decision-making. Dr. Zhang’s ongoing work strengthens the academic and societal understanding of mental-health dynamics in rapidly changing environments, emphasizing early detection, preventive strategies, and policy relevance. His scholarly trajectory continues to advance applied psychological research, contributing meaningful evidence to public health systems, educational institutions, and community well-being initiatives worldwide.
Profiles: Scopus | ORCID | ResearchGate
Featured Publications
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Xiong, J.-M., Wang, J.-Y., Liu, Y., … Zhang, G.-W. (2023). Study on prescription medication mode and mechanism of traditional Chinese medicine in the treatment of noncritical COVID-19 based on data mining.
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Fu, Z.-T., Wang, J.-Y., Liu, Y., … Zhang, G.-W. (2023). The mechanism of TCM prevention and treatment of heavy COVID-19 based on data mining and network pharmacology.
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Zhang, L.-H., Zhang, W.-Y., Xiong, J.-M., … Zhang, G.-W. (2022). Mechanisms of Compound Kushen Injection for the treatment of bladder cancer based on bioinformatics and network pharmacology with experimental validation.
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Cui, Q., Ma, Y., Yu, H., … Zhang, G.-W. (2021). Systematic analysis of the mechanism of hydroxysafflor yellow A for treating ischemic stroke based on network pharmacology technology.
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Zhang, L., Zhang, W., Xiong, J., … Zhang, G.-W. (2020). Mechanisms of Compound Kushen Injection for treatment of bladder cancer based on bioinformatics and network pharmacology with experimental validation.