A semantic search runs across papers, scholars and citation links, pointing straight to high-impact research and producing summaries and citation leads. Researchers, students and content teams use it for topic scouting, review writing and reference gathering.
Videmak Research AI is an AI research and search workflow tool for teams and creators who need a practical way to generate, organize, convert, or review work before it moves into a final production flow. It is best used with clear source material, a defined output goal, and a human review step for accuracy, rights, privacy, and publishing quality.
AMiner is an artificial intelligence academic search and scientific and technological information mining platform for researchers, aggregating massive data from papers, scholars, conference journals, and institutions, and providing paper retrieval, scholar portraits, expert discovery, partnerships, and research trend analysis based on knowledge graph and data mining. AMiner supports rapid positioning of high-impact literature by field and keyword, and combines citation networks and correlation relationships to assist in topic selection research, review writing, and review reference. At the same time, it provides open data and dataset portals to facilitate academic data analysis and scientific research management decisions.
Semantic Scholar is a free AI academic search engine developed by the Allen Institute for AI (AI2) to help researchers discover and understand scientific literature efficiently. The platform uses natural language processing and machine learning technology to perform semantic analysis on more than 200 million academic papers worldwide, extracting key information and citation relationships to improve the relevance and depth of searches. Its core features include auto-generated paper summaries (TLDR), citation impact analysis, chart extraction, semantic recommendations, and a semantic reader (Semantic Reader), which provides an enhanced reading experience with support for embedded citation cards and highlighted content. Semantic Scholar provides open APIs and datasets like S2ORC and S2AG to support developers and researchers for secondary development and data mining. The platform covers various fields such as computer science, medicine, physics, and social sciences, making it an ideal tool for academic research, literature review, and scientific research aids.
