Synthical: 让科学更简单

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.

用于阅读、理解与撰写科学论文的 AI 科研平台

面向同行评审文献的 AI 学术搜索引擎

面向科学论文的 AI 摘要与学习指南

Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.

ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.

面向循证文献综述与综合的 AI 研究助手

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

用可视化论文图谱探索学术文献

WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.

OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.

面向文献综述与可审计系统综述的 AI 原生研究工作台