Journal of Organizational and End User Computing

Papers
(The H4-Index of Journal of Organizational and End User Computing is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Trust in the Ride Hailing Service of the Sharing Economy102
Dynamic Measurement and Evaluation of Hotel Customer Satisfaction through Sentiment Analysis on Online Reviews75
Optimizing Production Supply Chain With Markov Jump System for Logistics Collaboration43
Application of Deep Learning for Automatic Identification of Hazardous Materials and Urban Safety Supervision43
The Analysis of Smarter Future38
The Use of an Internet of Things Data Management System Using Data Mining Association Algorithm in an E-Commerce Platform38
Big Data in Entrepreneurship37
An Empirical Study on Assessing the Role of Digital Platforms in Shaping Entrepreneurial Opportunities32
Deep Learning Modeling of Consumer Payment Behavior and Security Perception31
An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis27
Mobile payment and mobile applications (Apps) behaviors for online recommendations27
Mining Potential Requirements by Calculation of User Operations26
Why Does Algorithmic Management Undermine Employee Creativity?25
Human-Machine Synergy in Industry 5.025
Mediating Effects of Attitudes, Risk Perceptions, and Negative Emotions on Coping Behaviors23
Research on the Mediating Effect of Corporate Governance Behavior between GEM and Governance Performance of Listed Companies on the Growth Enterprise23
Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management23
Research on Monitoring Method of Stock Market Systematic Crash Based on Market Transaction Data22
An Entropy-View Secure Multiparty Computation Protocol Based on Semi-Honest Model21
Application of Short Text Classification Model Based on GPT-3.5 in E-Commerce21
An Image-Text Matching Method for Multi-Modal Robots20
0.30977487564087