AI 产品解读Display CCF (China Computer Federation) recommended academic venue rankings as visual badges on paper listings in dblp, Google Scholar, Connected Papers, Semantic Scholar, and Web of Science
Researchers and students in China's computer science community need to quickly identify the tier (A/B/C) of conferences and journals when browsing academic papers, which traditionally requires manually cross-referencing the CCF recommended list - a time-consuming process
User browses academic search sites → Extension content script detects paper titles on page → Queries dblp public API to identify the venue → Looks up venue in local CCF ranking database → Displays colored rank badge (CCF A/B/C/E/P) next to each paper title → User can hover for full venue name and category details
Injects CCF rank badges (A/B/C/Expanded/Preprint) next to paper titles on academic search sitesSupports multiple platforms: dblp (including mirrors), Google Scholar (all regional domains), Connected Papers, Semantic Scholar, Web of ScienceCaches API responses locally to reduce redundant dblp queriesColor-coded rank badges with hover tooltips showing full venue nameFilter functionality to show/hide papers by rank category
- 目标用户
- Chinese computer science researchers and PhD students / Academics evaluating paper quality for publication venue selection / Graduate students preparing literature reviews / Faculty members reviewing conference/journal submissions
- The CCF ranking data is based on the 2022 draft version (December 2022) and may not reflect the latest official updates
- No background service worker or popup UI - all logic is in content scripts, making the extension architecture straightforward to analyze
- The dblp API is the only external dependency and it's public/unauthenticated
付费分析未识别到付费功能
The extension is MIT-licensed open source (GitHub: WenyanLiu/CCFrank4dblp) with no payment mechanisms, subscription tiers, or gated features. All CCF rank lookups (A, B, C, E, P) are available to all users. The 'pro' keyword matches were false positives from academic conference names like 'PROGRAMMING', 'PROCESSING', 'PROTOCOLS' in the CCF ranking data files, not payment indicators.
- 置信度
- 95
- 支付平台
- --
- 来源
- AI / 高
- 需要登录
- 否
- 登录理由
- The extension operates as a pure content script that injects rank badges into academic search result pages. It queries the public dblp API (https://dblp.org/search/publ/api) without any authentication tokens or API keys. No login UI exists, no user accounts are created, and no credentials are stored. The keyword matches for 'auth' are false positives - they refer to 'author' (paper authors) in the academic data processing code, not authentication.