Connected Papers 记录了 750,576 月访问量,月度环比增长为 +3.1%,定价为免费增值。WolframAlpha 记录了 3,101,089 月访问量,增长率为 +5.6%,定价为免费增值。
用可视化论文图谱探索学术文献
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | connectedpapers.com | wolframalpha.com |
| 定价模式 | 免费增值 | 免费增值 |
| 月访问量 | 75.06万 (750,576) | 310.11万 (3,101,089) |
| 月度环比流量变化 | +2.24万 (+3.1%) | +16.34万 (+5.6%) |
| 主要市场与份额 | 🇺🇸 美国 (17.6%) | 🇺🇸 美国 (37.6%) |
| 直接访问 / 月 | 30.84万 | 148.25万 |
| 用户评分 | 4.7 | 4.7 |
| 支持的平台 | 网站 | 网站 |
用可视化论文图谱探索学术文献
每张图谱把种子论文放在最相关的文献之间,并按共同被引或共享参考文献的密度聚类。
分别展示论文所依据的基础工作与其后的发展,非常适合追溯研究脉络。
可从论文标题、DOI、URL 或会议论文集链接开始,用手头已有的信息直接进入图谱。
当需要具体信息而非全局概览时,可通过排序列表按相关性浏览相关文献。
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
Enter a question in natural language or via math input and get computed answers with plots, units, and context.
Solve algebra, calculus, differential equations, statistics, and more, with worked solutions on Pro.
Pull facts, conversions, and comparisons across geography, history, money, nutrition, and more.
Auto-generate charts, plots, and visual representations of results.

Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.

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.
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.
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