Over 30 years of leading academic information management in China and around the world.
Wanfang Data is a high-tech enterprise founded by the Institute of Scientific and Technical Information of China (ISTIC), under the Ministry of Science and Technology of China.
With over 30 years of experience, Wanfang offers comprehensive academic knowledge solutions—from the digitization and processing of resources to the development of platforms for scientific data search and analysis.
Our service model integrates resources, software, hardware, and technical support. We specialize in providing access to Chinese academic literature, dissertations, conference proceedings, patents, and technical standards.
We have an international subsidiary in Hong Kong and clients in over 15 countries, including the University of Oxford, Yale University, the University of Toronto, the Library of Congress, the Chinese University of Hong Kong (CUHK), and Nanyang Technological University.
1️⃣ Wanfang China
🌐 https://www.wanfangdata.com.cn/
Complete database in Chinese.
Most of the articles are in Chinese.
🌐 https://globe.wanfangdata.com.hk/app/knowledge
International version, Chinese articles include machine translation into English.
Recommended for universities, libraries, and users outside China.
🌐 https://globe.wanfangdata.com.hk/en/for.category/periodical/list
It is ideal for finding Chinese scientific journals by subject.
Articles originally written in English and published in mainland China ensure academic accuracy while offering access to a vast collection of global English-language literature.
It is useful for those looking to publish or collaborate with Chinese institutions.
✅ Support in Spanish
✅ Translation of abstracts and titles
✅ Training on how to apply filters in English and Chinese
✅ Personalized guidance for students and librarians
✅ Exclusive content: Dissertations, patents, clinical data, and technical reports not available in Scopus or Web of Science.
✅ Scientific comparison: Access to Asian studies to contrast with Western approaches.
✅ Affordable access: More economical than Scopus or Web of Science, with plans tailored to public universities or regional centers.
Access to millions of academic documents.
Ideal for researchers, institutions, and decision-makers.
Supports search, analysis, and reference export.
Includes over 20 million English articles,
400 academic journals, and 500,000 international conference papers published in China.
Clinical support with traditional and western medicine.
Reliable information for therapeutic decisions, pharmacovigilance, and research projects.
Text similarity detection, education in scientific ethics,
monitoring of publications, and integrity management in research.
Connects talent, technology, capital, and industry.
Uses AI and data analysis to support innovation and business transformation decisions.
A unique historical and cultural resource with information
on social development, geography, politics, heritage, and economy from the imperial era to the present.
🔹 Academic Similarity Detection
This service identifies textual similarities by comparing the submitted manuscript against more than 600 million Chinese documents and 79 million English documents. It detects plagiarism in long, short, and combined sentences, as well as paraphrased structures. It is a powerful and specialized alternative to platforms like Turnitin.
👉 Access the service: https://oscheck.wanfangdata.com.cn/#/
🔹 AI-Generated Text Detection (Wencha-AIGC Detection)
Designed to determine whether a text was generated by AI (e.g., ChatGPT), this tool analyzes semantic and linguistic patterns using models trained on extensive academic corpora. Although the interface is currently only available in Chinese, the system supports both Chinese and English texts and generates detailed reports.
👉 Access the service: https://cx.wanfangdata.com.cn/aigc-check
Wanfang Data offers advanced tools to safeguard academic integrity within universities, publishing houses, and research institutions.
🔹 Academic Similarity Detection
This service compares submitted texts against a vast database of over 600 million Chinese documents and 79 million English-language records, including academic journals, theses, conference proceedings, newspapers, patents, and technical standards.
It accurately detects plagiarism in long sentences, short segments, paraphrased content, and mixed sequences. It is particularly effective at identifying academic content sourced from Chinese literature not indexed by other systems.
👉 Access the service: https://oscheck.wanfangdata.com.cn/#/
🔹 AI-Generated Text Detection (Wencha-AIGC Detection)
A specialized tool for identifying whether a text has been generated by large language models like ChatGPT. It evaluates deep semantic, logical, and linguistic patterns using a pretrained AI model built on academic sources.
While the interface is available only in Chinese, it supports both Chinese and English content and provides complete online and downloadable PDF reports.
👉 Access the service: https://cx.wanfangdata.com.cn/aigc-check
These tools strengthen editorial quality and scientific transparency, offering an effective and regionally specialized alternative to well-known platforms such as Turnitin or iThenticate.
National Yang Ming Chiao Tung University (Taiwán)
This video provides an overview of Wanfang Data, one of the leading providers of scientific and technological information in China. Discover how our platforms connect researchers from around the world with millions of academic resources, including journals, theses, patents, technical standards, and more. Available in multiple languages, this audiovisual tour highlights our commitment to innovation, quality, and international collaboration.
Clinical Biotec S.L. – Spanish Tax ID (CIF): B56379233
Based in Madrid, Spain.
Registered in the Mercantile Registry of Madrid. We act as commercial representatives and authorized distributors for national and international companies in the technological, editorial, scientific, and academic sectors.
Email: santiago@clinicalbiotec.com | wanfangdata@clinicalbiotec.com
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