AI 产品解读Chrome extension that highlights papers on Google Scholar profile pages based on the user's authorship role (first author, second author, co-first author, corresponding author, last author)
Researchers need to quickly identify their authorship position in their publication list on Google Scholar. Scholar profiles don't visually distinguish first-author, co-first, corresponding, or last-author papers, making it hard to assess one's primary contributions at a glance.
User navigates to any Google Scholar profile page (scholar.google.com/citations*). The extension's content script automatically activates, reads the profile name from the DOM, parses author lists for each publication, matches the profile name against authors using fuzzy matching with Levenshtein distance, classifies each paper by authorship role, applies color-coded highlighting via CSS classes, and injects a control panel into the sidebar for filtering by authorship type and year range. A MutationObserver handles dynamically loaded papers.
Color-coded highlighting of papers by authorship role (first, second, co-first, corresponding, last author)Real-time authorship metrics (h-index, i10-index, citations) for highlighted papersYear range filter to dynamically filter publications and metrics by specific year rangesFocus mode to hide non-highlighted papers and focus on primary worksAutomatic name spotlighting to highlight the user's name in author listsPublication histogram showing distribution of highlighted vs total papers by year
- 目标用户
- Academic researchers / Faculty members managing their Google Scholar profiles / PhD students tracking their publication metrics / Research professionals evaluating their publication portfolio
- No external API calls or server communication beyond Google Scholar DOM, limiting need for further network analysis
- Google Scholar itself may require login for full profile visibility, but the extension itself does not mandate or handle any login
付费分析未识别到付费功能
All features (highlighting, filtering, metrics, name spotlighting, focus mode) are free and fully functional. The only payment-related item is a voluntary 'Buy Me a Coffee' donation link in the popup (popup.html line 31, popup.js line 6 pointing to buymeacoffee.com/ntudy). This is not a gated feature - it is a donation/tip mechanism. No subscription, license, Stripe, or billing logic exists in the source.
- 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 content script directly on Google Scholar profile pages. It reads the author name from the DOM (e.g., '#gsc_prf_in') and highlights papers by authorship role. There is no authentication flow, no login UI, no account system, and no credential handling anywhere in the source code. All keyword hits for 'auth' are false positives from 'authorMatcher' (author-related logic).