AMiner

Freemium

AMiner is an AI academic research assistant for scholarly search, document Q&A, and citation-backed summaries.

What is AMiner?

AMiner is an AI-powered academic research assistant from Zhipu, built around the GLM model and positioned for scholarly search, reading, and synthesis tasks. The site describes it as a platform for finding papers, exploring research topics, and using AI to help understand academic materials.

The public pages emphasize a large scholarly dataset and a broad research workflow: academic search, keyword search, deep research, AI reading, and AI document Q&A. The site also highlights outputs such as literature reviews and opening reports with real citations, which makes the product useful for researchers who need both discovery and synthesis support.

What can AMiner do?

Academic search

Search academic literature using AI-assisted academic search and keyword search, with the site positioning AMiner around large-scale scholarly discovery.

Deep research

Use deep research workflows to assemble outputs such as literature reviews and opening reports, with the site emphasizing real citations in the resulting reports.

AI reading

Read and understand papers with AI reading tools designed to help users process dense scholarly text more efficiently.

AI academic Q&A

Ask questions over documents and academic materials through AI document Q&A and related dialogue tools.

Research organization

Track papers, scholars, and research activity through follow, collection, and browsing history features shown in the site navigation and policy pages.

Multiple access paths

Access AMiner through the website, an open data platform, and a WeChat mini program, with the site also referencing a browser plugin in policy text.

Use Cases

“Find relevant academic sources”

Look up papers and scholars using academic search and keyword search when starting a literature scan or narrowing a topic.

“Understand papers more efficiently”

Use AI reading and dialogue to digest papers faster, summarize dense sections, and ask questions about a document.

“Draft research summaries”

Build literature reviews or opening reports that need structured synthesis and real citations.

“Organize ongoing research”

Track papers, scholars, and browsing history through the site’s follow, collection, and history features to keep a working research trail.

“Access research tools across channels”

Use the website, open data platform, or WeChat mini program depending on where you need to access academic search and reading tools.

Frequently Asked Questions

What is AMiner used for?

AMiner is presented as an AI research assistant built on Zhipu’s GLM models. It supports academic search, keyword search, deep research, AI reading, and AI document Q&A for scholarly work.

What platforms or access methods does it support?

The source shows support for web use, a WeChat mini program, and an open data platform. It also references a browser plugin in the privacy policy, but the public site does not provide full setup details on the home page.

What kinds of research tasks can it help with?

The site says AMiner can help produce research outputs such as literature reviews and opening reports with real citations, and it includes AI reading and AI dialogue tools for understanding papers.

Does AMiner support team workflows or exports?

The privacy policy states that users can manage their information, and the site includes login, profile, follow, collections, and history functions. The source does not provide workflow details for team collaboration or export options.

Is there pricing information available?

A pricing page was requested but returned a 404 page not found. The source does show an 'Activate VIP' prompt and a displayed daily price on the site, but it does not provide a complete public pricing structure.