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Wenzhou-Kean University

Records
2
Authors
2
Years
2023–2024
Citations (OpenAlex)
24
Journals
1
With other institutions
2 records

Records per year

Numbers
YearRecords
20231
20241

Partner institutions

Tap an institution to see the joint records. Double-tap to open it.

  • Wenzhou-Kean University
  • Indonesian partner
  • Partner abroad
  • Bigger circle = more joint records · purple line = joint records with Wenzhou-Kean University · grey line = joint records between partners
Partners
InstitutionCountryJoint records
Imam Abdulrahman Bin Faisal UniversitySA2
King Hussein Cancer CenterJO2
Amman Arab UniversityJO2
Al-Balqa Applied UniversityJO2
Sohar UniversityOM1
Monash UniversityAU1
Kean UniversityUS1
Fujairah UniversityAE1

Where the partners are

  • Wenzhou-Kean University
  • Indonesia
  • Abroad
  • Bigger circle = more records · institutions in the same city share one circle

8 institutions: 0% in Indonesia, 8 abroad.

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Institutions on this map
InstitutionCityProvince / regionCountryRecords
Al-Balqa Applied UniversitySalt BalqaJO2
Imam Abdulrahman Bin Faisal UniversityDammam Eastern ProvinceSA2
Amman Arab UniversityAmman AmmanJO2
King Hussein Cancer CenterAmman AmmanJO2
Monash UniversityMelbourne VictoriaAU1
Sohar UniversitySohar Al Batinah NorthOM1
Kean UniversityUnion New JerseyUS1
Fujairah UniversityFujairah FujairahAE1

Locations: ROR (main site of each institution). Affiliations: OpenAlex; records without OpenAlex affiliations are not counted. Map tiles from OpenStreetMap: opening this page loads them from openstreetmap.org.

Most cited (OpenAlex)

  1. A comprehensive study of machine learning for predicting cardiovascular disease using Weka and Statistical Package for Social Sciences tools (2023) · International Journal of Electrical and Computer Engineering (IJECE) · 17 citations
  2. Cardiovascular disease risk factors prediction using deep learning convolutional neural networks (2024) · International Journal of Electrical and Computer Engineering (IJECE) · 7 citations

Latest records

  1. Cardiovascular disease risk factors prediction using deep learning convolutional neural networks (2024) · International Journal of Electrical and Computer Engineering (IJECE)
  2. A comprehensive study of machine learning for predicting cardiovascular disease using Weka and Statistical Package for Social Sciences tools (2023) · International Journal of Electrical and Computer Engineering (IJECE)