# Most Cited Chinese Artificial Intelligence Papers on CNKI

**Use case:** 

Most cited Chinese artificial intelligence papers on CNKI, ranked by citation count. Each row shows the title, authors, journal, publication date, citations, and downloads, so R&D teams, investors, and research-security analysts can see which Chinese AI work the field actually builds on. Change the query to rank any other topic.

## Input

```json
{
  "searchMode": "keyword",
  "query": "artificial intelligence",
  "databaseTypes": [],
  "discipline": "",
  "journalTiers": [],
  "language": "any",
  "includeCitationString": true,
  "includeAuthorProfiles": false,
  "maxResults": 10,
  "sortBy": "cites",
  "onlyNewOrChanged": false,
  "stateName": "default",
  "trackCitationChanges": false,
  "savedPapers": [],
  "resetState": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "authors": {
    "label": "Authors",
    "format": "array"
  },
  "source": {
    "label": "Journal / Source",
    "format": "string"
  },
  "publicationDate": {
    "label": "Published",
    "format": "string"
  },
  "databaseType": {
    "label": "Database",
    "format": "string"
  },
  "cites": {
    "label": "Cites",
    "format": "number"
  },
  "downloads": {
    "label": "Downloads",
    "format": "number"
  },
  "hasChineseFullText": {
    "label": "Chinese Full Text",
    "format": "boolean"
  },
  "hasEnglishMT": {
    "label": "English (MT)",
    "format": "boolean"
  },
  "citationString": {
    "label": "Citation (GB/T 7714)",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The CNKI Scraper: 中国知网 Papers, Citations, Rankings & Journal Tiers Actor is ready to run with the inputs already set for "Most Cited Chinese Artificial Intelligence Papers on CNKI". [Sign up or log in](https://console.apify.com/create-task-from-example/s336zHHudM1WQpVOw) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Most Cited Chinese Artificial Intelligence Papers on CNKI" task

The CNKI Scraper: 中国知网 Papers, Citations, Rankings & Journal Tiers Actor will start running based on the input automatically. You can also change all the input fields, like search mode, search query, and more, to match your specific use case.

### 3. Receive the "Most Cited Chinese Artificial Intelligence Papers on CNKI" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, authors, journal / source, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Most Cited Chinese Artificial Intelligence Papers on CNKI" task via API](https://apify.com/getascraper/cnki-scraper.md).

## About this Actor

This example demonstrates how to use [CNKI Scraper: 中国知网 Papers, Citations, Rankings & Journal Tiers](https://apify.com/getascraper/cnki-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/cnki-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/cnki-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).