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Research/Google Scholar
Logo Google Scholar

Google Scholar

Pencarian publikasi ilmiah Google Scholar + profil author (sitasi, h-index, daftar publikasi).

Endpoints
2
Requests
74
Updated
3 months ago
For LLMs
llms.txt
Endpoint health19 hours ago
  • searchpassing, 0.5s
  • authorpassing, 1.5s
2/2 passingdaily 01:00 WIB

Playground

2 endpoints
GET/v1/research:google-scholar/search1h cache7 paramschecking key…
Parameters
querystringrequired

Academic search keyword. Supports operators like author:, source:, intitle:.

pagenumber

Page number (10 results per page). Default 1

yearFromnumber

Only include results published from this year

yearTonumber

Only include results published up to this year

languagestring

Interface language code (hl=). Default en

patentsenum

Include patents in results. Default true

citationsenum

Include citation-only (no fulltext) entries. Default true

·
Response
EXAMPLE
{
  "page": 1,
  "count": 10,
  "query": "transformer neural network",
  "hasMore": true,
  "perPage": 10,
  "results": [
    {
      "link": "https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",
      "type": "PDF",
      "year": 2021,
      "title": "Transformer in convolutional neural networks",
      "venue": "arXiv preprint arXiv",
      "pdfUrl": "https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",
      "authors": [
        "Y Liu",
        "G Sun",
        "Y Qiu"
      ],
      "snippet": "… of totally abandoning them as done in recent transformer works [16–20], we aim at introducing a generic framework that could inherit the advantages of both CNNs and transformers …",
      "resultId": "Xhupwy48-swJ",
      "versions": 0,
      "publisher": "homes.esat.kuleuven.be",
      "citedByUrl": "https://scholar.google.com/scholar?cites=14770184099463764830&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:Xhupwy48-swJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 112,
      "authorProfiles": [
        {
          "name": "Y Liu",
          "authorId": "UB3doCoAAAAJ"
        },
        {
          "name": "G Sun",
          "authorId": "qd8Blw0AAAAJ"
        },
        {
          "name": "L Zhang",
          "authorId": "61LOyWUAAAAJ"
        }
      ],
      "publicationInfo": "Y Liu , G Sun , Y Qiu, L Zhang … - arXiv preprint arXiv …, 2021 - homes.esat.kuleuven.be"
    },
    {
      "link": "https://arxiv.org/abs/1907.05572",
      "type": "PDF",
      "year": 2019,
      "title": "R- transformer : Recurrent neural network enhanced transformer",
      "venue": "arXiv preprint arXiv",
      "pdfUrl": "https://arxiv.org/pdf/1907.05572",
      "authors": [
        "Z Wang",
        "Y Ma",
        "Z Liu"
      ],
      "snippet": "… Unlike previously proposed Transformer -like models, R- Transformer in this work leverages the strength of RNN and is able model the local structures effectively without the need…",
      "resultId": "9jQQcRuE-5gJ",
      "versions": 4,
      "publisher": "arxiv.org",
      "citedByUrl": "https://scholar.google.com/scholar?cites=11023549766315291894&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:9jQQcRuE-5gJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 180,
      "authorProfiles": [
        {
          "name": "Z Wang",
          "authorId": "nvNEalYAAAAJ"
        },
        {
          "name": "Y Ma",
          "authorId": "wf9TTOIAAAAJ"
        },
        {
          "name": "Z Liu",
          "authorId": "rRTzNm0AAAAJ"
        }
      ],
      "publicationInfo": "Z Wang , Y Ma , Z Liu , J Tang - arXiv preprint arXiv:1907.05572, 2019 - arxiv.org"
    },
    {
      "link": "https://www.sciencedirect.com/science/article/pii/S136481522200281X",
      "type": "",
      "year": 2023,
      "title": "Transformer neural networks for interpretable flood forecasting",
      "venue": "… Modelling & Software",
      "pdfUrl": "",
      "authors": [
        "M Castangia",
        "LMM Grajales",
        "A Aliberti"
      ],
      "snippet": "… the applicability of the Transformer neural network to the task … that the Transformer outperforms recurrent neural networks by … Furthermore, the Transformer requires lower comp…",
      "resultId": "eaSqVjEELZcJ",
      "versions": 5,
      "publisher": "Elsevier",
      "citedByUrl": "https://scholar.google.com/scholar?cites=10893367683633030265&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:eaSqVjEELZcJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 178,
      "authorProfiles": [
        {
          "name": "M Castangia",
          "authorId": "RulBKsMAAAAJ"
        },
        {
          "name": "A Aliberti",
          "authorId": "A_EadKUAAAAJ"
        },
        {
          "name": "C Rossi",
          "authorId": "Wwyz_joAAAAJ"
        }
      ],
      "publicationInfo": "M Castangia , LMM Grajales, A Aliberti , C Rossi … - … Modelling & Software, 2023 - Elsevier"
    }
  ],
  "nextPage": 2,
  "didYouMean": null,
  "totalResults": null
}

Code examples

Cari Publikasi
zpi-sdkrecommended
// npm i zpi-sdk
import { ZpiClient } from "zpi-sdk";

const client = new ZpiClient({ apiKey: "zpi_xxxxxxxxxxxxxxxxxxxxxxxx" });

const data = await client.run("research:google-scholar", "search", {
  "query": "transformer neural network",
  "page": 1,
  "yearFrom": 2018,
  "yearTo": 2024,
  "language": "en",
  "patents": "true",
  "citations": "true"
});
console.log(data);
Full SDK reference →
request.sh
curl -X GET "https://api.zpi.web.id/v1/research:google-scholar/search?query=transformer+neural+network&page=1&yearFrom=2018&yearTo=2024&language=en&patents=true&citations=true" \
  -H "x-api-key: zpi_xxxxxxxxxxxxxxxxxxxxxxxx"

Full reference

2 endpoints · plain text
GETCari Publikasi/v1/research:google-scholar/searchCari publikasi ilmiah di Google Scholar (filter tahun, bahasa, paten, sitasi).

Parameters

querystringrequired
Academic search keyword. Supports operators like author:, source:, intitle:.
pagenumberoptional
Page number (10 results per page). Default 1
yearFromnumberoptional
Only include results published from this year
yearTonumberoptional
Only include results published up to this year
languagestringoptional
Interface language code (hl=). Default en
patentsenumoptional
Include patents in results. Default true Values: true, false.
citationsenumoptional
Include citation-only (no fulltext) entries. Default true Values: true, false.

Request

curl -X GET "https://api.zpi.web.id/v1/research:google-scholar/search?query=transformer+neural+network&page=1&yearFrom=2018&yearTo=2024&language=en&patents=true&citations=true" \
  -H "x-api-key: zpi_xxxxxxxxxxxxxxxxxxxxxxxx"

Example response

{
  "page": 1,
  "count": 10,
  "query": "transformer neural network",
  "hasMore": true,
  "perPage": 10,
  "results": [
    {
      "link": "https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",
      "type": "PDF",
      "year": 2021,
      "title": "Transformer in convolutional neural networks",
      "venue": "arXiv preprint arXiv",
      "pdfUrl": "https://homes.esat.kuleuven.be/~konijn/publications/2021/Liu2.pdf",
      "authors": [
        "Y Liu",
        "G Sun",
        "Y Qiu"
      ],
      "snippet": "… of totally abandoning them as done in recent transformer works [16–20], we aim at introducing a generic framework that could inherit the advantages of both CNNs and transformers …",
      "resultId": "Xhupwy48-swJ",
      "versions": 0,
      "publisher": "homes.esat.kuleuven.be",
      "citedByUrl": "https://scholar.google.com/scholar?cites=14770184099463764830&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:Xhupwy48-swJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 112,
      "authorProfiles": [
        {
          "name": "Y Liu",
          "authorId": "UB3doCoAAAAJ"
        },
        {
          "name": "G Sun",
          "authorId": "qd8Blw0AAAAJ"
        },
        {
          "name": "L Zhang",
          "authorId": "61LOyWUAAAAJ"
        }
      ],
      "publicationInfo": "Y Liu , G Sun , Y Qiu, L Zhang … - arXiv preprint arXiv …, 2021 - homes.esat.kuleuven.be"
    },
    {
      "link": "https://arxiv.org/abs/1907.05572",
      "type": "PDF",
      "year": 2019,
      "title": "R- transformer : Recurrent neural network enhanced transformer",
      "venue": "arXiv preprint arXiv",
      "pdfUrl": "https://arxiv.org/pdf/1907.05572",
      "authors": [
        "Z Wang",
        "Y Ma",
        "Z Liu"
      ],
      "snippet": "… Unlike previously proposed Transformer -like models, R- Transformer in this work leverages the strength of RNN and is able model the local structures effectively without the need…",
      "resultId": "9jQQcRuE-5gJ",
      "versions": 4,
      "publisher": "arxiv.org",
      "citedByUrl": "https://scholar.google.com/scholar?cites=11023549766315291894&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:9jQQcRuE-5gJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 180,
      "authorProfiles": [
        {
          "name": "Z Wang",
          "authorId": "nvNEalYAAAAJ"
        },
        {
          "name": "Y Ma",
          "authorId": "wf9TTOIAAAAJ"
        },
        {
          "name": "Z Liu",
          "authorId": "rRTzNm0AAAAJ"
        }
      ],
      "publicationInfo": "Z Wang , Y Ma , Z Liu , J Tang - arXiv preprint arXiv:1907.05572, 2019 - arxiv.org"
    },
    {
      "link": "https://www.sciencedirect.com/science/article/pii/S136481522200281X",
      "type": "",
      "year": 2023,
      "title": "Transformer neural networks for interpretable flood forecasting",
      "venue": "… Modelling & Software",
      "pdfUrl": "",
      "authors": [
        "M Castangia",
        "LMM Grajales",
        "A Aliberti"
      ],
      "snippet": "… the applicability of the Transformer neural network to the task … that the Transformer outperforms recurrent neural networks by … Furthermore, the Transformer requires lower comp…",
      "resultId": "eaSqVjEELZcJ",
      "versions": 5,
      "publisher": "Elsevier",
      "citedByUrl": "https://scholar.google.com/scholar?cites=10893367683633030265&as_sdt=2005&sciodt=0,5&hl=en",
      "relatedUrl": "https://scholar.google.com/scholar?q=related:eaSqVjEELZcJ:scholar.google.com/&scioq=transformer+neural+network&hl=en&as_sdt=0,5",
      "citedByCount": 178,
      "authorProfiles": [
        {
          "name": "M Castangia",
          "authorId": "RulBKsMAAAAJ"
        },
        {
          "name": "A Aliberti",
          "authorId": "A_EadKUAAAAJ"
        },
        {
          "name": "C Rossi",
          "authorId": "Wwyz_joAAAAJ"
        }
      ],
      "publicationInfo": "M Castangia , LMM Grajales, A Aliberti , C Rossi … - … Modelling & Software, 2023 - Elsevier"
    }
  ],
  "nextPage": 2,
  "didYouMean": null,
  "totalResults": null
}
GETProfil Author/v1/research:google-scholar/authorProfil author Google Scholar — metrik sitasi, h-index, i10, dan daftar publikasi.

Parameters

userIdstringrequired
Author profile ID (the user param from a profile URL; also returned as authorProfiles[].authorId by the search endpoint).
pagenumberoptional
Publications page (100 per page). Default 1
sortByenumoptional
Sort publications by citation count or year. Default cited Values: cited, year.
languagestringoptional
Interface language (hl=). Default en

Request

curl -X GET "https://api.zpi.web.id/v1/research:google-scholar/author?userId=UB3doCoAAAAJ&page=1&sortBy=cited&language=en" \
  -H "x-api-key: zpi_xxxxxxxxxxxxxxxxxxxxxxxx"

Example response

{
  "name": "Yun Liu",
  "page": 1,
  "photo": null,
  "userId": "UB3doCoAAAAJ",
  "hasMore": false,
  "metrics": {
    "hIndexAll": 43,
    "i10IndexAll": 60,
    "citationsAll": 12299,
    "hIndexRecent": 41,
    "i10IndexRecent": 58,
    "citationsRecent": 10871
  },
  "perPage": 100,
  "interests": [
    "Computer Vision"
  ],
  "affiliation": "Professor of Computer Science, Nankai University",
  "emailDomain": "nankai.edu.cn",
  "publications": [
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:l7t_Zn2s7bgC",
      "year": 2017,
      "title": "Structure-measure: A New Way to Evaluate Foreground Maps",
      "venue": "IEEE International Conference on Computer Vision",
      "authors": "DP Fan, MM Cheng, Y Liu, T Li, A Borji",
      "citationId": "UB3doCoAAAAJ:l7t_Zn2s7bgC",
      "citedByCount": 2486
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:dQ2og3OwTAUC",
      "year": 2019,
      "title": "Richer Convolutional Features for Edge Detection",
      "venue": "IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE CVPR 2017)",
      "authors": "Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, J Tang",
      "citationId": "UB3doCoAAAAJ:dQ2og3OwTAUC",
      "citedByCount": 1638
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:GtLg2Ama23sC",
      "year": 2020,
      "title": "MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation",
      "venue": "IEEE Transactions on Pattern Analysis and Machine Intelligence",
      "authors": "S Li, YA Farha, Y Liu, MM Cheng, J Gall",
      "citationId": "UB3doCoAAAAJ:GtLg2Ama23sC",
      "citedByCount": 1251
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:W5xh706n7nkC",
      "year": 2020,
      "title": "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence",
      "venue": "International Journal of Computer Vision",
      "authors": "JW Bian, WY Lin, Y Liu, L Zhang, SK Yeung, MM Cheng, I Reid",
      "citationId": "UB3doCoAAAAJ:W5xh706n7nkC",
      "citedByCount": 962
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:e_rmSamDkqQC",
      "year": 2022,
      "title": "P2T: Pyramid Pooling Transformer for Scene Understanding",
      "venue": "IEEE Transactions on Pattern Analysis and Machine Intelligence",
      "authors": "YH Wu#, Y Liu#, X Zhan, MM Cheng",
      "citationId": "UB3doCoAAAAJ:e_rmSamDkqQC",
      "citedByCount": 406
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:zLWjf1WUPmwC",
      "year": 2022,
      "title": "EDN: Salient Object Detection via Extremely-Downsampled Network",
      "venue": "IEEE Transactions on Image Processing",
      "authors": "YH Wu#, Y Liu#, L Zhang, MM Cheng, B Ren",
      "citationId": "UB3doCoAAAAJ:zLWjf1WUPmwC",
      "citedByCount": 349
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:VOx2b1Wkg3QC",
      "year": 2018,
      "title": "Crowd Counting With Deep Negative Correlation Learning",
      "venue": "IEEE Conference on Computer Vision and Pattern Recognition",
      "authors": "Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng",
      "citationId": "UB3doCoAAAAJ:VOx2b1Wkg3QC",
      "citedByCount": 326
    },
    {
      "url": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=UB3doCoAAAAJ&pagesize=100&citation_for_view=UB3doCoAAAAJ:Ug5p-4gJ2f0C",
      "year": 2023,
      "title": "LSDIR Dataset: A Large Scale Dataset for Image Restoration",
      "venue": "IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1775-1787",
      "authors": "Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ...",
      "citationId": "UB3doCoAAAAJ:Ug5p-4gJ2f0C",
      "citedByCount": 307
    }
  ],
  "publicationCount": 90
}

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