Track Google Scholar citations over time — right on the Scholar profile page. Zero‑config · local‑first · no scraping API · no server.
English | 中文
Server‑side scraping of Google Scholar gets CAPTCHA'd fast. MyPaperTrend runs a content script that reads the page you already opened in your own logged‑in session — it makes no extra network request, so there's nothing for Google's anti‑bot to detect.
- 📈 Trend panel on any Scholar profile: total‑citations chart with a hover crosshair (date · total · daily new), collapsible and styled to match Scholar.
- 🔍 Per‑paper history: a 📈 icon under each paper expands its own citation trend inline — open as many as you like.
- 🎯 Pagination‑proof total: the headline number comes from Scholar's own metrics box (Citations / h‑index / i10), so it's correct even when the paper list is paginated.
- 👥 Follow any scholar: flip the Track switch on a profile to start recording it. Each scholar is stored separately — nobody's data mixes, and nothing is recorded until you switch it on.
- ⏰ Daily auto‑update: pick a time; it refreshes every tracked scholar in a hidden tab — no API key, runs whenever your browser is open.
- ☁️ Optional cloud sync: sign in with GitHub or Google Drive to sync one JSON file per scholar to your own account. "Sync now" restores everything on a new computer.
- 🗂 Full dashboard: stat cards, all‑time trend, milestones, per‑paper charts, search / sort, NEW badges, and a profile switcher.
- 🌐 English & 中文 — switch language from the panel (EN / 中) or Settings.
- 🔒 Local‑first & private: history lives in your browser by default; export / import JSON any time.
- Download the latest
MyPaperTrend.zipfrom Releases and unzip it (or clone this repo). - Open
chrome://extensions(oredge://extensions) and enable Developer mode. - Click Load unpacked and select the folder.
- Open any Google Scholar profile and flip Track.
- Every visit to a tracked profile records that day's numbers; revisit over days/weeks to build the trend. Click Capture all pages to include every paper (not just the first page).
- Open the toolbar popup for a quick summary, export/import, and settings.
- Cloud sync (optional): Settings → sign in with GitHub or Google Drive. Files are stored one‑per‑scholar under your account; on a new machine, sign in and click Sync now.
All data stays on your device by default. Nothing is sent anywhere unless you explicitly connect GitHub or Google Drive (tokens are stored locally, never in a repo). Optional metadata lookups send only a paper's title to the free Semantic Scholar API.
Sync is a per‑date union, not a file overwrite: every date from local and cloud is kept; only when the same date exists in both does one win (local wins ties). So importing old history and today's data simply combines the timelines — nothing is lost.
MIT · Made by marsggbo
把 Google Scholar 引用趋势，直接展示在学者主页上。 零配置 · 本地优先 · 无需爬虫 API · 无需服务器。
从服务器爬 Google Scholar 很快就会被弹验证码。MyPaperTrend 用 content script 读取你已经打开的、 登录状态下的页面——不发起任何额外请求,所以反爬系统无从检测。
- 📈 趋势面板:任意学者主页顶部显示总引用曲线,悬停显示「日期 · 总引用 · 当日新增」,可折叠,风格贴合 Scholar。
- 🔍 每篇论文历史:每篇论文下方有个 📈 图标,点击就地展开该论文的引用趋势——可同时展开多篇。
- 🎯 总量分页也准确:总数取自 Scholar 自己的指标框(引用 / h 指数 / i10),即使论文分页也正确。
- 👥 追踪任意学者:在主页打开「追踪」开关才开始记录;每位学者分开存储,数据永不混,不打开就不记录。
- ⏰ 每日自动更新:设定时间后,用隐藏标签页自动刷新每位已追踪学者——无需任何 API,浏览器开着即可。
- ☁️ 可选云同步:用 GitHub 或 Google Drive 登录,把每位学者同步为一个 JSON 文件到你自己的账号; 换电脑登录后点「立即同步」即可恢复。
- 🗂 完整看板:统计卡、总趋势、里程碑、每篇论文图表、搜索/排序、NEW 徽章、学者切换。
- 🌐 中英文切换:面板(EN / 中)或设置里切换。
- 🔒 本地优先、隐私:数据默认存在浏览器本地;可随时导出/导入 JSON。
- 到 Releases 下载
MyPaperTrend.zip解压(或克隆本仓库)。 - 打开
chrome://extensions(或edge://extensions),开启开发者模式。 - 点加载已解压的扩展程序,选择该文件夹。
- 打开任意 Google Scholar 主页,打开「追踪」开关。
- 每次访问已追踪主页都会记录当天数据;隔几天再看就能积累出趋势。点「采集全部论文」可记录全部论文(不止第一页)。
- 点工具栏图标打开 popup 查看摘要、导入/导出、设置。
- 云同步(可选):设置 → 用 GitHub 或 Google Drive 登录。文件按学者分别存到你的账号;换电脑登录后点「立即同步」。
同步是按日期取并集,不是整文件覆盖:本地和云端的每个日期都会保留;只有同一天两边都有时才谈覆盖(以本地为准)。 所以把旧历史和今天的数据放一起,只会把时间线合并起来,不会丢数据。
MIT · 作者 marsggbo