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Education JO

Amman Arab University

Records
8
Authors
4
Years
2020–2025
Citations (OpenAlex)
252
Journals
1
With other institutions
8 records

Records per year

Numbers
YearRecords
20201
20233
20241
20253

Partner institutions

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

  • Amman Arab University
  • Indonesian partner
  • Partner abroad
  • Bigger circle = more joint records · purple line = joint records with Amman Arab University · grey line = joint records between partners
Partners
InstitutionCountryJoint records
Imam Abdulrahman Bin Faisal UniversitySA6
Wenzhou-Kean UniversityCN2
King Hussein Cancer CenterJO2
Al-Balqa Applied UniversityJO2
University of SharjahAE1
Sohar UniversityOM1
Al-Ahliyya Amman UniversityJO1
Monash UniversityAU1
Kean UniversityUS1
Fujairah UniversityAE1
Jerash UniversityJO1
Al al-Bayt UniversityJO1
Jordan University of Science and TechnologyJO1

Where the partners are

  • Amman Arab University
  • Indonesia
  • Abroad
  • Bigger circle = more records · institutions in the same city share one circle

13 institutions: 0% in Indonesia, 13 abroad. The preview shows the 10 with the most records.

Sign in to open the full map (150 tokens): every institution, a year filter, provinces, islands, distances and the trend per year.

Institutions on this map
InstitutionCityProvince / regionCountryRecords
Imam Abdulrahman Bin Faisal UniversityDammam Eastern ProvinceSA6
Al-Balqa Applied UniversitySalt BalqaJO2
Wenzhou-Kean UniversityWenzhou ZhejiangCN2
King Hussein Cancer CenterAmman AmmanJO2
Monash UniversityMelbourne VictoriaAU1
Jordan University of Science and TechnologyIrbid IrbidJO1
University of SharjahSharjah SharjahAE1
Al-Ahliyya Amman UniversityAmman AmmanJO1
Jerash UniversityJerash JerashJO1
Sohar UniversitySohar Al Batinah NorthOM1

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. Investigating a theoretical framework for e-learning technology acceptance (2020) · International Journal of Electrical and Computer Engineering (IJECE) · 202 citations
  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) · 17 citations
  3. Towards fostering the role of 5G networks in the field of digital health (2023) · International Journal of Electrical and Computer Engineering (IJECE) · 15 citations
  4. Cardiovascular disease risk factors prediction using deep learning convolutional neural networks (2024) · International Journal of Electrical and Computer Engineering (IJECE) · 7 citations
  5. Susceptible exposed infectious recovered-machine learning for COVID-19 prediction in Saudi Arabia (2023) · International Journal of Electrical and Computer Engineering (IJECE) · 5 citations

Latest records

  1. A hybrid DMO-CNN-LSTM framework for feature selection and diabetes prediction: a deep learning perspective (2025) · International Journal of Electrical and Computer Engineering (IJECE)
  2. A hybrid adaptive neuro-fuzzy inference system and reptile search algorithm model for wind power forecasting (2025) · International Journal of Electrical and Computer Engineering (IJECE)
  3. Enhancing routing efficiency in highway environments of vehicular ad hoc networks through fuzzy logic-based protocols (2025) · International Journal of Electrical and Computer Engineering (IJECE)
  4. Cardiovascular disease risk factors prediction using deep learning convolutional neural networks (2024) · International Journal of Electrical and Computer Engineering (IJECE)
  5. Towards fostering the role of 5G networks in the field of digital health (2023) · International Journal of Electrical and Computer Engineering (IJECE)
  6. Susceptible exposed infectious recovered-machine learning for COVID-19 prediction in Saudi Arabia (2023) · International Journal of Electrical and Computer Engineering (IJECE)
  7. 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)
  8. Investigating a theoretical framework for e-learning technology acceptance (2020) · International Journal of Electrical and Computer Engineering (IJECE)