AMiner is a large-model academic platform launched by Zhipu AI. It provides paper retrieval, scholar portraits, scientific research trend analysis and other capabilities. It is an academic for researchers.

AMiner

Core parameters and statistics

AMiner is a scientific and technological intelligence and mining platform that is deeply involved in the academic field. It is driven by Zhipu AI and introduces large model capabilities. The core problem it wants to solve is "academic information retrieval and insight" - researchers need to quickly find relevant papers, understand the research context of a certain field, and find key scholars. Traditional keyword search is far from enough. AMiner superimposes AI on long-term accumulated academic data to provide more structured scientific research intelligence.

Projects	Public Information
Official positioning	Large model academic platform
Producer	Zhipu AI / AMiner
Product Form	Web Academic Platform
Core Competencies	Paper retrieval, scholar portraits, scientific research trend analysis
Data accumulation	Long-term accumulation of paper and scholar relationship data
Target users	Researchers, scientific research institutions, students
Support Platform	Web
Place of Belonging	China
Billing form	Mainly free

Product Boundary: It is oriented to academic research scenarios, and its value lies in the in-depth and structured analysis of academic data rather than general search. The conclusion still needs to be verified by the researcher based on the original text.

Capability source: The core barrier is the academic knowledge graph (papers, scholars, citation relationships) accumulated over many years. On this basis, the large model provides intelligent upgrades for retrieval and induction.

User and market recognition

Gradually build user awareness in the field, and product capabilities are used by content creators and teams to improve work efficiency. Some industry users have incorporated it into their daily workflow. It is recommended to refer to the latest official disclosures for specific user scale and industry adoption rate data.

Cost advantage

• C-side/Individual: Usually a free version is provided to experience the core functions, and high-frequency use requires a paid package subscription.
• API/Developer: Billed by call volume, suitable for development teams that can be flexibly integrated into their own systems.
• Enterprise/Privatized: Contact the business owner for customized quotation and deployment plan. The specific price is subject to the official real-time pricing page.

Main functions

• Paper Search: Search relevant literature in academic databases.
• Scholar Portrait: Presents the scholar’s ​​research direction, achievements and relationships.
• Scientific Research Trend Analysis: Analyze research hot spots and evolution in the field.
• Large Model Assistance: Use AI to retrieve and summarize academic information.
• Knowledge Graph: Build a structured view based on the relationship between papers and scholars.

Hidden linkage: Its value lies in the collaboration of "academic data + knowledge graph + large model" - researchers can not only search for papers, but also understand the field structure along the scholar's portrait and citation relationship, and then use the large model to quickly summarize, turning literature research from linear browsing to structured exploration.

Model and version evolution

Continuous iterative updates, the latest version introduces performance optimization and new features. Historical version information can be viewed on the official release page. There is no complete public version evolution timeline yet. It is recommended to pay attention to the official announcement to understand the rhythm of feature updates.

Technical advantages

Mechanism: Superimpose a large model on the long-term accumulated academic knowledge graph, structure the relationship between papers, scholars, and citations, and use AI to provide intelligent retrieval and analysis.

Effectiveness: Compared with general search, AMiner is more professional in academic data depth and relationship mining, and can help researchers grasp the full picture of the field faster.

Applicable scenarios: Researchers who need to do literature research, field analysis, find collaborators or benchmark scholars can best benefit from this academic expertise.

How to use

1. Open the AMiner website.
2. Search for papers, scholars, or research topics.
3. View the scholar’s ​​portrait and research relationship map.
4. Understand the hot spots in the field with the help of scientific research trend analysis.
5. Go back to the original text for verification of the documents you are interested in.

The entrance is purely Web, and the core functions are free.

Product Pricing

The pricing model is subject to the official real-time page. Usually a freemium or subscription system is used, and basic functions can be used for free. Advanced functions or high-frequency use require paid subscriptions, and users are advised to evaluate the optimal solution based on actual usage.

Application scenarios

• Literature Research: Quickly locate relevant papers in the field.
• Field Analysis: Grasp research hot spots and development trends.
• Scholar Search: Find benchmarking scholars or potential collaborators.
• Scientific Research Information: Provide data support for scientific research management and decision-making.

Applicable people

• Research staff: Do literature research and field analysis.
• Graduate/Student: Find papers and learn about research directions.
• Scientific Research Manager: Need academic intelligence and trend data.

Unsuitable Boundary: For non-academic general information retrieval, ordinary search is more appropriate; the conclusions and citations of formal research must be returned to primary literature for verification and cannot be directly based on AI induction.

Summary and Outlook

AMiner combines the academic knowledge map accumulated over many years with large models to provide researchers with paper retrieval, scholar portraits and scientific research trend analysis, and upgrades literature research from linear browsing to structured exploration. It is the most accumulated academic information platform in China. Its limitation is that AI summary still needs to be compared with the original text, and formal citations must go back to primary documents.

Implementation suggestions: Researchers can use AMiner as the starting point for literature research and field understanding, use scholar portraits and trend analysis to establish an overall understanding, and then return to the original text for intensive verification of key documents; if scientific research institutions require batch data services, they can further communicate with the authorities on interfaces and compliance.

Related tools: perplexity, you-com

Version evolution of AMiner

As a long-term operating academic platform, its capabilities continue to iterate with data accumulation and technology upgrades, and there is no discrete version number for the public.

Main line context

• Academic Mining Starts: Establish a platform with paper and scholar data mining and scientific and technological information as the core.
• Large Model Enhancement Period: Introduce large model capabilities and upgrade the retrieval and summary experience.

The official unified version number and precise date have not been disclosed, and the text is marked with the online version at the time of collection.

Version Info

• AMiner (online version) ：The academic platform is continuously updated, and the retrieval and large model analysis capabilities are iterated on the backend; the official unified version number has not been disclosed, and the online version at the time of collection is marked here. There is no official precise date yet. （~2026-06）
• Early version of AMiner academic platform ：AMiner started as an academic mining and scientific and technological information platform. It has accumulated papers and scholar data for a long time, and will later introduce large model capabilities; there is no official precise date yet. （~2006）