Web of Science AI Research Assistant Now Available !

E-Resources

Author Reference Services ｜ Date 2026-02-01

The Library has subscribed to the Web of Science Research Assistant (WoS RA), a generative AI tool, available from February 1, 2026 to January 31, 2027, to support more efficient literature discovery and research planning for faculty and students.

Database: Web of Science - Research Assistant

URL: http://www.webofscience.com

Accessing Databases：
1. NCHU Library hompage →Collections →Search →Database Search
2. Enter the database title: WOS.
3. Click the title of the search result to enter the detailed description page.
4. Click on the link below "Full text availability" in the View Online section.
5. The campus IP range can be used for direct access. For off-campus areas, please enter your NCHU single sign-on account and password, or use he SSLVPN connection method.

User manual (Traditional Chinese)：https://reurl.cc/M3Gkn4

Description：
The research assistant is a generative AI-powered tool that offers natural language, multilingual search capabilities, concise overviews of results, task-based guided walkthroughs, and visualizations to enhance your research. It delivers responses to research questions and contextual prompts to help you explore potential paths forward in your research.

Main Features include:

Flexible Literature Search: Allows natural-language queries in multiple languages (including asking and answering in Chinese). The tool provides concise overviews and commentary based on more than 120 years of scholarly literature within specified research domains, helping users quickly grasp key concepts.

Guided Prompts and Tasks: Offers suggestions during searches to help researchers refine prompts with contextual awareness, broaden the research scope, or further narrow it as needed. In addition, task-based guidance can assist researchers in “understanding a topic,” generating a “literature review,” or “finding a journal,” ensuring accurate retrieval of required information.

Unique Data Visualization: Researchers can use dynamic visualization tools—such as research trend charts, topic maps, and co-citation networks—to view specific topics from different perspectives and gain deeper insights into related fields.

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