IEEE Xplore · Example Payload

Doi Lookup Example

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Doi Lookup Example is an example object payload from IEEE Xplore, with 2 top-level fields. It illustrates the shape of data this provider's APIs accept or return.

Top-level fields

requestresponse

Example Payload

doi-lookup-example.json Raw ↑ 
{
  "request": {
    "method": "GET",
    "url": "https://ieeexploreapi.ieee.org/api/v1/search/articles",
    "description": "Batch DOI lookup: retrieve metadata for up to 25 DOIs in a single request using the doi parameter.",
    "parameters": {
      "doi": "10.1109/TNET.2020.3001245",
      "apikey": "YOUR_API_KEY_HERE"
    },
    "curlExample": "curl -G 'https://ieeexploreapi.ieee.org/api/v1/search/articles' -d 'doi=10.1109/TNET.2020.3001245&apikey=YOUR_API_KEY_HERE'",
    "notes": "For batch DOI lookups, supply multiple doi parameters or a comma-separated list per IEEE documentation. Maximum 25 DOIs per request."
  },
  "response": {
    "status": 200,
    "headers": {
      "Content-Type": "application/json"
    },
    "body": {
      "total_records": 1,
      "total_searched": 6100000,
      "articles": [
        {
          "article_number": "9147599",
          "title": "Graph Neural Networks for Network Topology Analysis",
          "abstract": "Network topology inference from traffic measurements is a fundamental problem in network management. This paper proposes a graph neural network framework that learns structural representations from sampled flow data to accurately recover physical network topologies under partial observability.",
          "doi": "10.1109/TNET.2020.3001245",
          "authors": {
            "authors": [
              {
                "full_name": "Martinez, Elena",
                "author_order": 1,
                "affiliation": "Universidad Politécnica de Madrid",
                "author_url": "https://ieeexplore.ieee.org/author/38019204"
              },
              {
                "full_name": "Kurose, James F.",
                "author_order": 2,
                "affiliation": "University of Massachusetts Amherst",
                "author_url": "https://ieeexplore.ieee.org/author/37281948"
              }
            ]
          },
          "publication_title": "IEEE/ACM Transactions on Networking",
          "publication_year": 2020,
          "publication_date": "December 2020",
          "volume": "28",
          "issue": "6",
          "start_page": "2471",
          "end_page": "2484",
          "content_type": "Journals",
          "issn": "1063-6692",
          "access_type": "Locked",
          "is_open_access": false,
          "publisher": "IEEE",
          "citing_paper_count": 217,
          "citing_patent_count": 1,
          "author_terms": [
            "graph neural networks",
            "network topology",
            "traffic analysis",
            "partial observability"
          ],
          "ieee_terms": [
            "Graph neural networks",
            "Network topology",
            "Network management",
            "Machine learning"
          ],
          "pdf_url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9147599",
          "html_url": "https://ieeexplore.ieee.org/document/9147599",
          "abstract_url": "https://ieeexplore.ieee.org/document/9147599",
          "rank": 1,
          "insert_date": "20201210"
        }
      ]
    }
  }
}