World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
9627
World Ranking
11906
National Ranking
153

Overview

Minseok Song is affiliated with Pohang University of Science and Technology in South Korea. Their research spans multiple fields, primarily focusing on Engineering, Business, Management and Accounting, and Computer Science. Within these domains, they concentrate on subfields such as Management Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, Management Science and Operations Research, and Information Systems.

The scientist has contributed extensively to topics including Business Process Modeling and Analysis, Data Quality and Management, Semantic Web and Ontologies, Manufacturing Process and Optimization, Big Data and Business Intelligence, Transportation and Mobility Innovations, and Clinical practice guidelines implementation.

Minseok Song's recent academic publications demonstrate engagement with interdisciplinary themes. Notable papers include:

  • Process mining for healthcare: Characteristics and challenges, 2022, Journal of Biomedical Informatics
  • Seven Paradoxes of Business Process Management in a Hyper-Connected World, 2020, Business & Information Systems Engineering
  • MEXchange: A Privacy-Preserving Blockchain-Based Framework for Health Information Exchange Using Ring Signature and Stealth Address, 2021, IEEE Access
  • A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization, 2023, International Journal of Hydrogen Energy
  • City 5.0: Citizen involvement in the design of future cities, 2023, Electronic Markets

The scientist frequently publishes in venues such as:

  • Journal of Biomedical Informatics
  • IEEE Access
  • International Journal of Hydrogen Energy
  • Business & Information Systems Engineering
  • Electronic Markets

Collaboration is a significant aspect of their work. Frequent co-authors include:

  • Minsu Cho
  • Deoksang Lee
  • Wil M. P. van der Aalst
  • Gyunam Park
  • Jungeun Lim

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Business process mining: An industrial application

    W. M. P. van der Aalst;H. A. Reijers;A. J. M. M. Weijters;B. F. van Dongen

  • Discovering Social Networks from Event Logs

    Wil M. P. Van Der Aalst;Hajo A. Reijers;Minseok Song

  • Time prediction based on process mining

    W. M. P. van der Aalst;M. H. Schonenberg;M. Song

  • Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital

    R. S. Mans;M. H. Schonenberg;M. Song;W. M. P. van der Aalst

  • Trace Clustering in Process Mining

    Minseok Song;CW Christian Günther;Wmp Wil van der Aalst

  • Towards comprehensive support for organizational mining

    Minseok Song;Wil M. P. van der Aalst

  • Discovering simulation models

    A. Rozinat;R. S. Mans;M. Song;W. M. P. van der Aalst

  • Mining Social Networks: Uncovering Interaction Patterns in Business Processes

    Wil M. P. van der Aalst;Minseok Song;Minseok Song

  • Process mining for healthcare: Characteristics and challenges

    Unknown

  • ProM 4.0: comprehensive support for real process analysis

    W. M. P. Van Der Aalst;B. F. Van Dongen;C. W. Güunther;R. S. Mans

  • An integration architecture for knowledge management systems and business process management systems

    Jisoo Jung;Injun Choi;Minseok Song

  • Beyond process mining: from the past to present and future

    Wil M. P. van der Aalst;Maja Pesic;Minseok Song

  • An outlook on semantic business process mining and monitoring

    A. K. Alves De Medeiros;C. Pedrinaci;W. M. P. van der Aalst;J. Domingue

  • Supporting proces mining by showing events at a glance

    Minseok Song;van der Wmp Wil Aalst

  • Discovering colored Petri nets from event logs

    A. Rozinat;R. S. Mans;M. Song;W. M. P. van der Aalst

  • A comparative study of dimensionality reduction techniques to enhance trace clustering performances

    M. Song;H. Yang;S. H. Siadat;M. Pechenizkiy

  • Quantification of purified endogenous miRNAs with high sensitivity and specificity

    Soochul Shin;Yoonseok Jung;Heesoo Uhm;Minseok Song

  • Two-stage process analysis using the process-based performance measurement framework and business process simulation

    Kwan Hee Han;Jin Gu Kang;Minseok Song

  • Social software for business process modeling

    Agnes Koschmider;Minseok Song;Hajo A Reijers

  • Seven Paradoxes of Business Process Management in a Hyper-Connected World

    Daniel Beverungen;Joos C. A. M. Buijs;Joerg Becker;Claudio Di Ciccio

  • An XML-based process definition language for integrated process management

    Injun Choi;Minseok Song;Chulsoon Park;Namkyu Park

Frequent Co-Authors

Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Moe Thandar Wynn
Moe Thandar Wynn Queensland University of Technology
H. M. W. Verbeek
H. M. W. Verbeek Eindhoven University of Technology
Akhil Kumar
Akhil Kumar Pennsylvania State University
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Francis S. Lee
Francis S. Lee Cornell University
Keri Martinowich
Keri Martinowich Johns Hopkins University

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