Access Range: Campus Network Only

Expiry Date: December 31, 2026

Access Address: Online Access
 

The YanZhi Research Support Database (also known as NeoSCI) is a comprehensive research ecosystem platform. By deeply integrating and intelligently analyzing trustworthy academic literature and leveraging advanced AI and visualization technologies, it provides researchers with a suite of in-depth information mining services, including intelligent search, intelligent literature review, intelligent bibliometric analysis, AI-powered research topic selection, and AI-generated grant proposal reports. These services help improve researcher efficiency in grant applications, research topic selection, literature review, and other stages of the research lifecycle, supporting innovation and disciplinary development.

1. Key Features and Advantages:

(1) Core Services

Leveraging bibliographic information from over 20,000 journals indexed in the Chinese Academy of Sciences (CAS) journal ranking system and combining high-quality big data models with visualization and AI technologies—grounded in authoritative, real literature—YanZhi offers unique research support and discipline development services, including bibliometric analysis reports, grant proposal reports, literature review reports, and research topic analysis reports.

• Bibliometric Analysis Reports: Based on core journal paper data from SCIE, SSCI, AHCI, ESCI, and others, and grounded in bibliometric theory, these reports integrate big data analytics, visualization, and generative AI. They decompose and replicate the key characteristics of bibliometric papers from four dimensions—methodology, structure, data presentation, and value—generating systematic, richly illustrated knowledge maps that provide a scientific basis for discipline development and research decision-making.
• Grant Proposal Reports: YanZhi can intelligently generate grant proposals for the National Natural Science Foundation of China (NSFC) or the National Social Science Fund (NSSF), based on references found via YanZhi or uploaded by users. This helps researchers efficiently organize literature, uncover potential scientific questions, and complete high-quality, efficient grant application preparation.
• Research Topic Analysis Reports: Supports logical synthesis and summary of authentic literature, evaluates the practical significance and innovation of research topics, and recommends more refined research directions and sub-topics, aiding in the selection and writing of research papers.
• Literature Review Reports: Helps users intelligently synthesize specific literature, generating review content with verifiable sources and clearly cited references, improving the efficiency of literature review writing.

(2) Research Competitiveness Analysis Platform

Based on the same principles and classifications as the ESI database, with rigorous data calibration, this platform applies innovative AI tools and bibliometric analysis tools for bibliometrics and analytics. It conducts academic evaluation, benchmarking analysis, discipline competitive landscape analysis, and high-impact paper tracking from multiple dimensions, including institution and discipline, and quickly generates analytical reports. This provides comprehensive data support and a decision-making foundation for university discipline development.

(3) Intelligent Search

YanZhi supports literature searches in both Chinese and English. When searching in Chinese, users can enter their research topic directly, and the system will automatically analyze and refine the topic, intelligently recommending appropriate English search terms to assist in literature discovery. Additionally, YanZhi's enhanced search capabilities combine natural language processing and semantic analysis to accurately understand user intent and rapidly locate relevant literature, improving the efficiency of literature research.

(4) AI-Powered Topic Selection (Research & Grant)

Based on papers published in core authoritative journals, YanZhi analyzes, synthesizes, and summarizes core keywords related to specific research areas, recommends related concepts, and, grounded in the highlights and limitations of these studies, offers several relevant academic questions. This provides users with deeper insights, guiding them to discover more refined research directions and potential scientific questions, inspiring research topic ideas from multiple angles.

2. Application Scenarios

• Research Preparation Phase: Literature presentation, literature review, research topic analysis, paper topic selection, grant topic selection, etc.
• Research Implementation Phase: Research proposal writing, grant proposal writing, paper writing, etc.
• Output and Dissemination Phase: Journal selection for submission, patent applications, etc.
• Research Management: Bibliometric analysis, discipline analysis, statistical analysis of research outputs, etc.