Journal of Organizational and End User Computing

Papers
(The H4-Index of Journal of Organizational and End User Computing is 23. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Understanding Customer Motivation to Share Information in Social Commerce83
70
Novel Classification of IoT Devices Based on Traffic Flow Features61
An Empirical Study on Impact of Management Capabilities for the Multinational Company's Sustainable Competitive Advantage54
The Agglomeration Mechanism of Network Emerging E-Eommerce Industry Based on Social Science42
Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection39
Empowering Retail Dual Transformer-Based Profound Product Recommendation Using Multi-Model Review38
An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis38
Collaborative Application of Deep Learning Models for Enhanced Accuracy and Prediction in Carbon Neutrality Anomaly Detection38
Optimizing Production Supply Chain With Markov Jump System for Logistics Collaboration31
Application of Deep Learning for Automatic Identification of Hazardous Materials and Urban Safety Supervision31
Enhancing Multimodal Understanding With LIUS29
Visual-and-Language Multimodal Fusion for Sweeping Robot Navigation Based on CNN and GRU29
The Analysis of Smarter Future28
Real-Time Classification Model of Public Emergencies Using Fusion Expansion Network28
The Impact of Technological Value Recognition on Job Performance Under Digital Transformation26
The Role of Transformer-cGANs Fusion in Digital Marketing26
Enhancing Logistics Optimization25
User Engagement Detection-Based Financial Technology Advertising Video Effectiveness Evaluation24
Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm24
Analyzing E-Commerce Market Data Using Deep Learning Techniques to Predict Industry Trends23
Catalyzing Financial Risk Control Excellence23
Intelligent Productivity Transformation23
Innovation in Financial Enterprise Risk Prediction Model23
Application of AdaBound-Optimized XGBoost-LSTM Model for Consumer Credit Assessment in Banking Industries23
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