gs-cited-by

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Original

English

🇨🇳

Translation

Chinese

Google Scholar — Cited By (Citation Tracking)

Google Scholar — 被引用文献追踪（Citation Tracking）

Find all papers that cite a given paper. Uses Google Scholar's

cites

parameter with the paper's cluster ID (data-cid).

查找所有引用指定论文的文献。使用Google Scholar的

cites

参数搭配论文的聚类ID（data-cid）实现。

Arguments

参数

$ARGUMENTS can be:

A
```
data-cid
```
from a previous search result (e.g.,
```
TFS2GgoGiNUJ
```
)
A paper title (will search first to find the data-cid)

$ARGUMENTS可以是：

来自之前搜索结果的
```
data-cid
```
（例如：
```
TFS2GgoGiNUJ
```
）
论文标题（将先执行搜索以找到对应的data-cid）

Steps

步骤

Step 1: Resolve data-cid

步骤1：解析data-cid

If $ARGUMENTS is a data-cid (alphanumeric string, no spaces): use it directly.

If $ARGUMENTS is a title or description: first search to find the data-cid:

Use
```
gs-search
```
with the title as keywords
Match the target paper in results by title similarity
Extract its
```
dataCid
```

如果$ARGUMENTS是data-cid（字母数字字符串，无空格）：直接使用该值。

如果$ARGUMENTS是标题或描述：先执行搜索以找到data-cid：

使用
```
gs-search
```
工具，将标题作为关键词进行搜索
通过标题相似度匹配结果中的目标论文
提取其
```
dataCid
```

Step 2: Navigate to "Cited by" page

步骤2：导航至“被引用”页面

Use

mcp__chrome-devtools__navigate_page

url:

https://scholar.google.com/scholar?cites={DATA_CID}&hl=en&num=10

Replace

{DATA_CID}

with the resolved cluster ID.

使用

mcp__chrome-devtools__navigate_page

工具：

url:

https://scholar.google.com/scholar?cites={DATA_CID}&hl=en&num=10

将

{DATA_CID}

替换为解析得到的聚类ID。

Step 3: Extract citing papers (evaluate_script)

步骤3：提取引用文献（evaluate_script）

Same extraction script as gs-search:

javascript

async () => {
  for (let i = 0; i < 20; i++) {
    if (document.querySelector('#gs_res_ccl') || document.querySelector('#gs_captcha_ccl')) break;
    await new Promise(r => setTimeout(r, 500));
  }

  if (document.querySelector('#gs_captcha_ccl') || document.body.innerText.includes('unusual traffic')) {
    return { error: 'captcha', message: 'Google Scholar requires CAPTCHA verification. Please complete it in your browser, then tell me to continue.' };
  }

  const items = document.querySelectorAll('#gs_res_ccl .gs_r.gs_or.gs_scl');
  const results = Array.from(items).map((item, i) => {
    const titleEl = item.querySelector('.gs_rt a');
    const meta = item.querySelector('.gs_a')?.textContent || '';
    const parts = meta.split(' - ');
    const authors = parts[0]?.trim() || '';
    const journalYear = parts[1]?.trim() || '';
    const citedByEl = item.querySelector('.gs_fl a[href*="cites"]');

    return {
      n: i + 1,
      title: titleEl?.textContent?.trim() || item.querySelector('.gs_rt')?.textContent?.trim() || '',
      href: titleEl?.href || '',
      authors,
      journalYear,
      citedBy: citedByEl?.textContent?.match(/\d+/)?.[0] || '0',
      dataCid: item.getAttribute('data-cid') || '',
      fullTextUrl: (item.querySelector('.gs_ggs a') || item.querySelector('.gs_or_ggsm a'))?.href || '',
      snippet: item.querySelector('.gs_rs')?.textContent?.trim()?.substring(0, 200) || ''
    };
  });

  const totalText = document.querySelector('#gs_ab_md')?.textContent?.trim() || '';
  const currentUrl = window.location.href;
  return { total: totalText, resultCount: results.length, currentUrl, results };
}

使用与

gs-search

相同的提取脚本：

javascript

async () => {
  for (let i = 0; i < 20; i++) {
    if (document.querySelector('#gs_res_ccl') || document.querySelector('#gs_captcha_ccl')) break;
    await new Promise(r => setTimeout(r, 500));
  }

  if (document.querySelector('#gs_captcha_ccl') || document.body.innerText.includes('unusual traffic')) {
    return { error: 'captcha', message: 'Google Scholar requires CAPTCHA verification. Please complete it in your browser, then tell me to continue.' };
  }

  const items = document.querySelectorAll('#gs_res_ccl .gs_r.gs_or.gs_scl');
  const results = Array.from(items).map((item, i) => {
    const titleEl = item.querySelector('.gs_rt a');
    const meta = item.querySelector('.gs_a')?.textContent || '';
    const parts = meta.split(' - ');
    const authors = parts[0]?.trim() || '';
    const journalYear = parts[1]?.trim() || '';
    const citedByEl = item.querySelector('.gs_fl a[href*="cites"]');

    return {
      n: i + 1,
      title: titleEl?.textContent?.trim() || item.querySelector('.gs_rt')?.textContent?.trim() || '',
      href: titleEl?.href || '',
      authors,
      journalYear,
      citedBy: citedByEl?.textContent?.match(/\d+/)?.[0] || '0',
      dataCid: item.getAttribute('data-cid') || '',
      fullTextUrl: (item.querySelector('.gs_ggs a') || item.querySelector('.gs_or_ggsm a'))?.href || '',
      snippet: item.querySelector('.gs_rs')?.textContent?.trim()?.substring(0, 200) || ''
    };
  });

  const totalText = document.querySelector('#gs_ab_md')?.textContent?.trim() || '';
  const currentUrl = window.location.href;
  return { total: totalText, resultCount: results.length, currentUrl, results };
}

Step 4: Report

步骤4：生成报告

Papers citing [{original paper title}] (data-cid: {DATA_CID}):
{total}

1. {title}
   Authors: {authors} | {journalYear}
   Cited by: {citedBy}
   Data-CID: {dataCid}

2. ...

引用[{原始论文标题}]的文献（data-cid: {DATA_CID}）：
{total}

1. {标题}
   作者：{authors} | {期刊年份}
   被引用次数：{citedBy}
   Data-CID: {dataCid}

2. ...

Follow-up

后续操作

See more citing papers: use
```
gs-navigate-pages
```
(pagination works on cited-by pages too)
Export citing papers: use
```
gs-export
```
with the data-cid(s)
Recursive citation tracking: use
```
gs-cited-by
```
on any of the citing papers

查看更多引用文献：使用
```
gs-navigate-pages
```
工具（分页功能同样适用于被引用页面）
导出引用文献：使用
```
gs-export
```
工具并传入对应的data-cid
递归追踪引用链：对任意一篇引用文献再次使用
```
gs-cited-by
```
工具

Notes

注意事项

This skill uses 2-3 tool calls: optional search +
```
navigate_page
```
+
```
evaluate_script
```
The
```
cites
```
parameter uses the cluster ID (data-cid), NOT a DOI or paper ID
Cited-by pages support the same pagination as regular search (
```
start
```
parameter)
Citation count on Google Scholar is typically higher than PubMed because it includes non-PubMed sources (books, theses, preprints, etc.)

该技能会调用2-3个工具：可选的搜索 +
```
navigate_page
```
+
```
evaluate_script
```
```
cites
```
参数使用的是聚类ID（data-cid），而非DOI或论文ID
被引用页面支持与常规搜索相同的分页功能（
```
start
```
参数）
Google Scholar上的引用次数通常高于PubMed，因为它包含非PubMed来源的文献（书籍、学位论文、预印本等）