Academic search
Search academic literature using AI-assisted academic search and keyword search, with the site positioning AMiner around large-scale scholarly discovery.
AMiner
ReclamarAMiner is an AI-powered academic research assistant for scholarly search, AI reading, deep research, and citation-backed summaries.
Overview
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.
Core features
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.
Common 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.
Pros and Cons
Pros
- Combines academic search, AI reading, and deep research in one research-oriented product.
- States support for real-citation research outputs such as literature reviews and opening reports.
- References a very large scholarly corpus and scholar database on the public site.
- Provides multiple access surfaces, including the website, open data platform, and WeChat mini program.
Cons
- The public pricing page currently returns a 404 page not found, so pricing structure is unclear from the source.
- Feature detail is limited on the home page, so some workflow specifics such as export, collaboration, and API usage are not fully documented in the collected pages.
- The site presents broad research capabilities, but the source does not show detailed limits, accuracy guarantees, or supported citation formats.
FAQ
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.
Quick Facts
- Category
- AI research assistant
- Platform
- Web, open data platform, WeChat mini program
- Parent company
- 北京智谱华章科技股份有限公司
- Primary users
- Researchers and academic users
- Source domain
- aminer.cn
- Pricing signal
- VIP access is mentioned; pricing page 404s