2026 Min Song: 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	35	11557	11226	144	144	313	6545

Research.com Recognitions

2018 - IEEE Fellow For leadership in supporting wireless networking and radio spectrum access

Overview

Min Song is affiliated with Yonsei University in South Korea and is a researcher primarily active in the field of Computer Science, with a focus on Artificial Intelligence. Their work spans several subfields including Molecular Biology, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, and Management Science and Operations Research.

Their research covers a variety of main topics such as Topic Modeling, Biomedical Text Mining and Ontologies, scientometrics and bibliometrics research, Advanced Text Analysis Techniques, Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, and Data Quality and Management.

Min Song has contributed to multiple publication venues, with frequent appearances in the following journals and platforms:

Journal of Informetrics
Scientometrics
arXiv (Cornell University)
Scientific Data
JMIR Medical Informatics

Their recent papers include:

"Building a PubMed knowledge graph" (2020), published in Scientific Data
"The pace of artificial intelligence innovations: Speed, talent, and trial-and-error" (2020), published in Journal of Informetrics
"Monolingual and multilingual topic analysis using LDA and BERT embeddings" (2020), published in Journal of Informetrics
"Pandemics are catalysts of scientific novelty: Evidence from COVID-19" (2021), published in Journal of the Association for Information Science and Technology
"Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare" (2022), published in BMC Psychiatry

Min Song frequently collaborates with a group of coauthors, including:

Ying Ding
Yi Bu
Qing Xie
Jian Xu
Xin Li

In addition to journal papers, Min Song has published work in book format, including a publication titled Big Data Analytics and Knowledge Discovery (2020) through Springer Science+Business Media.

Min Song was recognized as an IEEE Fellow in 2018. The award citation notes leadership in supporting wireless networking and radio spectrum access.

Best Publications

Visualizing a field of research: A methodology of systematic scientometric reviews.

Chaomei Chen;Chaomei Chen;Min Song

1209
Citations
Content-Based Citation Analysis: The Next Generation of Citation Analysis

Ying Ding;Guo Zhang;Tamy Chambers;Min Song

301
Citations
Content-based author co-citation analysis

Yoo Kyung Jeong;Min Song;Ying Ding

228
Citations
Building a PubMed knowledge graph.

Jian Xu;Sunkyu Kim;Min Song;Minbyul Jeong

174
Citations
A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling

Ja-Hyun Park;Min Song

166
Citations
Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news

Erin Hea-Jin Kim;Yoo Kyung Jeong;Yuyoung Kim;Keun Young Kang

150
Citations
Integration of association rules and ontologies for semantic query expansion

Min Song;Il-Yeol Song;Xiaohua Hu;Robert B. Allen

146
Citations
PKDE4J: Entity and relation extraction for public knowledge discovery.

Min Song;Won Chul Kim;Dahee Lee;Go Eun Heo

134
Citations
Novel Recommendation Based on Personal Popularity Tendency

Jinoh Oh;Sun Park;Hwanjo Yu;Min Song

124
Citations
Entitymetrics: Measuring the Impact of Entities

Ying Ding;Min Song;Jia Han;Qi Yu

120
Citations
Detecting the knowledge structure of bioinformatics by mining full-text collections

Min Song;Su Yeon Kim

115
Citations
The pace of artificial intelligence innovations: Speed, talent, and trial-and-error

Xuli Tang;Xin Li;Ying Ding;Min Song

103
Citations
Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques

Jung-Hwan Bae;Ji-Eun Son;Min Song

101
Citations
Building the process-drug-side effect network to discover the relationship between biological Processes and side effects

Sejoon Lee;Kwang H Lee;Min Song;Doheon Lee

90
Citations
Analyzing the Political Landscape of 2012 Korean Presidential Election in Twitter

Min Song;Meen Chul Kim;Yoo Kyung Jeong

89
Citations
Handbook of Research on Text and Web Mining Technologies

Min Song;Yi-Fang Brook Wu

82
Citations
A Study on Opinion Mining of Newspaper Texts based on Topic Modeling

Beomil Kang;Min Song;Whasun Jho

78
Citations
Monolingual and multilingual topic analysis using LDA and BERT embeddings

Qing Xie;Xinyuan Zhang;Ying Ding;Min Song

75
Citations
Developing a hybrid dictionary-based bio-entity recognition technique

Min Song;Hwanjo Yu;Wook Shin Han

72
Citations
Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

Vasiliki Foufi;Vasiliki Foufi;Tatsawan Timakum;Christophe Gaudet-Blavignac;Christophe Gaudet-Blavignac;Christian Lovis;Christian Lovis

72
Citations
KPSpotter: a flexible information gain-based keyphrase extraction system

Min Song;Il-Yeol Song;Xiaohua Hu

69
Citations
An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews

Reinald Kim Amplayo;Min Song

68
Citations

Frequent Co-Authors

Ying Ding The University of Texas at Austin

Il-Yeol Song Drexel University

Doheon Lee Korea Advanced Institute of Science and Technology

Xiaohua Hu Drexel University

Hua Xu Yale University

Sophia Ananiadou University of Manchester

Shamkant B. Navathe Georgia Institute of Technology

Chaomei Chen Drexel University

Erjia Yan Drexel University

Karin Verspoor RMIT University

External Links

Personal website of Min Song

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