2026 Jason J. Jung: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8853	8602	92	92	378	6947

Overview

Jason J. Jung is affiliated with Chung-Ang University in South Korea, where their research primarily focuses on computer science with an emphasis on artificial intelligence and related subfields.

Their work spans multiple specialized areas within computer science, including:

Artificial Intelligence
Information Systems
Computer Vision and Pattern Recognition
Statistical and Nonlinear Physics
Computer Networks and Communications

The main research topics covered by Jason J. Jung include:

Recommender Systems and Techniques
Complex Network Analysis Techniques
Topic Modeling
Anomaly Detection Techniques and Applications
Image Retrieval and Classification Techniques
Traffic Prediction and Management Techniques
Transportation Planning and Optimization

Jason J. Jung has published extensively in various venues, with frequent contributions to:

TUGraz OPEN Library (Graz University of Technology)
Zenodo (CERN European Organization for Nuclear Research)
Applied Sciences
Expert Systems
PLoS ONE

Significant recent papers include:

"Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges," 2022, Information Fusion
"Knowledge graph fusion for smart systems: A Survey," 2020, Information Fusion
"Cognitive Similarity-Based Collaborative Filtering Recommendation System," 2020, Applied Sciences
"Evolving Generative Adversarial Networks to improve image steganography," 2023, Expert Systems with Applications
"Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges," 2020, Sustainability

Their frequent collaborators include:

Gen Li
Luong Vuong Nguyen
Tri-Hai Nguyen
Minsung Hong
David Camacho

Best Publications

Social big data

Gema Bello-Orgaz;Jason J. Jung;David Camacho

981
Citations
Examination of how social aspects moderate the relationship between task characteristics and usage of social communication technologies (SCTs) in organizations

Chulmo Koo;Yulia Wati;Jason J. Jung

171
Citations
Towards Semantic Social Networks

Jason J. Jung;Jérôme Euzenat

151
Citations
Service chain-based business alliance formation in service-oriented architecture

Jason J. Jung

126
Citations
Reusing ontology mappings for query routing in semantic peer-to-peer environment

Jason J. Jung

104
Citations
Semantic business process integration based on ontology alignment

Jason J. Jung

100
Citations
Knowledge graph fusion for smart systems: A Survey

Hoang Long Nguyen;Dang Thinh Vu;Jason J. Jung

99
Citations
Deep learning for EEG data analytics: A survey

Gen Li;Chang Ha Lee;Jason J. Jung;Young Chul Youn

97
Citations
Attribute selection-based recommendation framework for short-head user group: An empirical study by MovieLens and IMDB

Jason J. Jung

97
Citations
Online named entity recognition method for microtexts in social networking services: A case study of twitter

Jason J. Jung

92
Citations
Exploiting matrix factorization to asymmetric user similarities in recommendation systems

Parivash Pirasteh;Dosam Hwang;Jason J. Jung

92
Citations
Real world representation of a road network for route planning in GIS

Abolghasem Sadeghi-Niaraki;Masood Varshosaz;Kyehyun Kim;Jason J. Jung

90
Citations
Ontology-based context synchronization for ad hoc social collaborations

Jason J. Jung

83
Citations
Contextualized mobile recommendation service based on interactive social network discovered from mobile users

Jason J. Jung

83
Citations
Ontological framework based on contextual mediation for collaborative information retrieval

Jason J. Jung

82
Citations
Query Transformation Based on Semantic Centrality in Semantic Social Network1.

Jason J. Jung

74
Citations
Social recommendation service for cultural heritage

Minsung Hong;Jason J. Jung;Francesco Piccialli;Angelo Chianese

73
Citations
Cognitive Similarity-Based Collaborative Filtering Recommendation System

Luong Vuong Nguyen;Min-Sung Hong;Jason J. Jung;Bong-Soo Sohn

73
Citations
Cooperative game-theoretic approach to traffic flow optimization for multiple intersections

Khac-Hoai Nam Bui;Jason J. Jung

72
Citations
Item-Based Collaborative Filtering with Attribute Correlation: A Case Study on Movie Recommendation

Parivash Pirasteh;Jason J. Jung;Dosam Hwang

70
Citations
ACO-Based Dynamic Decision Making for Connected Vehicles in IoT System

Khac-Hoai Nam Bui;Jason J. Jung

66
Citations
Complexity Analysis of Ontology Integration Methodologies: a Comparative Study

Trong Hai Duong;Geun Sik Jo;Jason J. Jung;Ngoc Thanh Nguyen

65
Citations

Frequent Co-Authors

David Camacho Technical University of Madrid

Francesco Piccialli University of Naples Federico II

Simon Fong University of Macau

Jérôme Euzenat Grenoble Alpes University

Rafidah Md Noor University of Malaya

Ali Selamat University of Technology Malaysia

Bay Vo Ho Chi Minh City University of Technology

Tzung-Pei Hong National University of Kaohsiung

Joongheon Kim Korea University

Feng Xia RMIT University

External Links

Personal website of Jason J. Jung

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