SCOPUS Citation Analysis

[1] Measurement e-commerce services quality: applying webqual 4.0 and importance performance analysis

Cited by:

Using WebQual 4.0 For Measuring Quality of E-learning Services During COVID-19 Pandemic

https://ieeexplore.ieee.org/abstract/document/9268887

COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling

https://ieeexplore.ieee.org/abstract/document/9310808/

 

[2] Punjabi Text Recognition System for Portable Devices: A Comparative Performance Analysis of Cloud Vision API with Tesseract

Cited by:

Automated Data Digitization System for Vehicle Registration Certificates Using Google Cloud Vision API

https://www.civilejournal.org/index.php/cej/article/view/3778

 

[3] Prediction of Loan Behaviour with Machine Learning Models for Secure Banking

Cited by:

Automation of human behaviors and its prediction using machine learning

https://link.springer.com/article/10.1007/s00542-022-05326-4

 

[4] Application Culinary Decision Support System in Kudus City with Weighted Product Method Based

Cited by:

Implementation of the Weighted Product Method to Specify scholarship's Receiver

https://link.springer.com/chapter/10.1007/978-981-19-2500-9_5

Wikuliner-Regional Culinary Recommendation System Based on The Web Using Extreme Programming Method

https://ieeexplore.ieee.org/abstract/document/9699369

TOPSIS for mobile based group and personal decision support system

http://journal.unipdu.ac.id:8080/index.php/register/article/view/214

 

[5] IS Governance Evaluation Using COBIT 5 Framework on the Central Statistics Agency of Banyumas District

Cited by:

Evaluation of Indonesian Navy Information Technology Governance Using Cobit 5

https://www.atlantis-press.com/article/125957924.pdf

 

[6] Analysis of Tomato Leaf Disease Identification Techniques

Cited by:

An Efficient Way of Identifying Alzheimer's Disease Using Deep Learning Techniques

https://link.springer.com/chapter/10.1007/978-981-19-3148-2_38

Computational Psychometrics Analysis of Learners' Motivational Level Using Different Parameters

https://link.springer.com/chapter/10.1007/978-981-19-2535-1_37