Submission Deadline ( Vol 71 , Issue 04 )
26 Apr 2026Publish On ( Vol 71 , Issue 04 )
30 Apr 2026Chinese Science Bulletin (ISSN:0023-074X) and (E-ISSN:2095-9419) is a monthly peer-reviewed scopus indexed journal originally from 1963 to 1964, from 1980 to 1984, 1989, from 2015 to Present. The publisher of the journal is Editorial Office of Journal of Science China Press.The journal welcomes all kind of research/review/abstract papers regarding Multidisciplinary subjects.
AIM AND SCOPE
1.Agricultural Science/Agricultural Engineering
2.Electrical Engineering and Telecommunication Section
3.Computer Science and Engineering
4.Civil and Architectural Engineering Section
5.Mechanical and Materials Engineering Section
6.Chemical Engineering Section
7.Food Engineering Section
8.Physics Section
9.Mathematics Section
10.Accounting and finance
11.Economics
12.Management
13.Social science
14.Earth science
15.Law
16.Linguistics
17.Biological science
18.Environmental science
19.Material science
20.zoology
21.Fishery and Science
22.Psychology
23.International Business
24.HRM
25.Marketing
26.History
27.Public health
28.Botany
ALL PUBLISH JOURNAL HERE
CSB-19-02-2025-1711
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Chinese Science Bulletin
The study investigates various aspects, including the psychological effects of social media engagement such as self-esteem, social comparison, social interactions, perceived social support, and psychological well-being to promote positive mental health in the digital age. While much of the existing research has focused on adults and has yielded inconsistent findings regarding the relationship between digital technology use and mental health, recent large-scale studies have revealed only a minimal association between daily digital technology usage and adolescent well-being. This study used a to
CSB-19-02-2025-1710
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Chinese Science Bulletin
The study investigates the influence of psychological factors on health protective behaviors and examines the role of consumer innovativeness in mediating these relationships. Utilizing a conceptual framework derived from established theories such as the health beliefs model, theory of planned behavior, and protection motivation theory, the research focuses on key psychological variables, including self-efficacy, perceived benefits, and behavioral beliefs, as independent variables, with health protective behaviors identified as the dependent variable. The systematic review synthesized findings
CSB-18-02-2025-1709
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Chinese Science Bulletin
The review explores the intersection of influencer marketing and artificial intelligence (AI), highlighting how AI technologies are transforming influencer strategies across industries. Despite growing interest in AI-driven influencer marketing, gaps persist in understanding how these technologies impact brand awareness and consumer engagement. The review addresses key issues such as the effectiveness of AI-powered virtual influencers, data analytics integration, and the shift from traditional influencers to AI-enhanced campaigns. Its objectives include synthesizing current research trends and
CSB-18-02-2025-1708
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Chinese Science Bulletin
The study aims to explore the intricate relationships between brain activity, behavioral processes, and decision-making using structural equation modeling (SEM) techniques. While existing research has advanced our understanding of these domains, gaps remain in synthesizing neurocognitive and behavioral factors in a unified framework. The primary objective of the study is to examine the neural mechanisms underlying decision-making and behavior, focusing on how brain function influences both cognitive and emotional decision processes. By integrating insights from neuroimaging, behavioral analysi
CSB-15-02-2025-1707
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Chinese Science Bulletin
The review explores the transformative role of Artificial Intelligence (AI) in revolutionizing customer service within the hospitality and service industries, focusing on efficiency, engagement, and satisfaction. The increasing integration of AI in customer service is driven by the need for enhanced operational efficiency and more personalized user experiences. However, significant challenges remain, including technological adaptation, customer expectations, and integration complexities. The objective of the review is to synthesize recent literature on AI's application in optimizing customer j