Book
Journal Papers
Under
Review --
Journal: 1.
Park,
Y.J.,
Syafiandini,
A.F, and
Song, M. Forecasting
Topic
Trends of
Blockchain
Using Topic
Modeling and
Deep
Learning-Based
Time-Series
Prediction on
Different Data
Sources, Journal
of
Informetrics
(SSCI)
In Progress -- Journal 1.Lee,
M.C. and Song,
M. Semantic
Change
Detection and
Text Dating
Using
Chrono-gram
Model of
Diachronic
Word
Embedding, Transactions
of the
Association
for
Computational
Linguistics
(SCI) 3. Wang, Y., Zhang, C.Z., Song, M., Kim, S.D., Ko, Y.S., Lee, J.H. Transdisciplinary Fine-grained Citation Analysis using Academic Full-text: a citation aspect and sentiment-combined perspective, Journal of Informetrics (SSCI) 4.
Heo, G.E.,
Choi, Y.J.,
Kim, Y.E.
Hong, G.B.,
Song, M. and
Yan, E.A.
Comprehensive
Analysis of
Retracted
Scientific
Publications
in Social
Sciences, Scientometrics (SSCI)
Book
Chapters 2. Lee, H.S., Seo, H.R., Lee, N.K., & Song, M. (2017). Exploring a Supervised Learning based Social Media Business Sentiment Index, Lecture Notes in Electrical Engineering: Proceedings of the 7th International Conference on Emerging Databases. 3. Song, M., & Ding, Y. (2015). Topic modeling: Measuring scholarly impact through the topical lens. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter) 4. Song, M., & Chambers, T. (2015). Text Mining with the Stanford CoreNLP. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter)
Published Papers
International
Journals (104
SCI-level
journal papers
have been
published since
2010)
2024
2022 10.
Zhang, W.,
Wang, H.,
Song, M.,
Sanhong Deng,
S.B., A Method
of
Constructing
Fine-grained
Sentiment
Lexicon for
the Humanities
Computing of
Classical
Chinese
Poetry, Neural
Computing and
Applications (SCI)
3.
Xie, Q., Wang, J.,
Lee, S.B., Kim,
G.Y., and
Song, M. A
Sensitivity
Analysis of
Citation
Factors for
Shared Data in
Data
Repository, Journal
of Informetrics
(SSCI) 7. Xie, Q., Zhang, S. & Song, M. A integrated scholar assessment indicator based on four facets: research topic, author sequence, role and field-normalized journal impact, Journal of Informetrics (SSCI) 8. Hong, G.B., Kim, Y.E., Choi, Y.J., & Song, M. Developing a Deep Learning-based Predicate Classification Model with SemMedDB, Journal of Biomedical Informatics (SCI) 9. Timakuma, T., Lee, S.B., Song, I.Y., & Song, M. Exploring the Research Landscape of Data Warehousing and Mining Based on DaWaK Conference Full-Text Articles, Data & Knowledge Engineering (SCI)
2020 1. Lee, M.C., Jeon, S.E., Song, M. (2020) Characterizing User Interest in NoSQL Databases of Social Question and Answer Data, The Journal of Supercomputing (SCIE) 2. Timakum, T., Kim, G.Y., Song, M. (2020) A Data-driven Analysis of the Knowledge Structure of Library Science with Full-text Journal Articles, Journal of Librarianship and Information Science (SSCI)3. Lee, H.Y., Seo, H.R., Lee, N.K., Song, M. (2020) Developing a Supervised- Learning- based Social Media Business Sentiment Index, The Journal of Supercomputing (SCIE) 4. Song, M.. Kang, K.Y., Timakum, T., and Zhang, X. (2020) Automatic Classification of Acknowledgements. PLoS One (SCIE) 5. Xie, Q., Yang, K.M., Heo, G.E. & Song, M.Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs, BMC Bioinformatics (SCI) 6. Lin, X., Ding, Y., Song, M., & Lu W. Understanding drug repurposing from the perspective of biomedical entities and their evolutions: the century legend of aspirin, JMI Medical Informatics (SCI) 7. Xie
Q., Zhang, X., Ding,
Y., & Song, M.
Monolingual and
Cross-Language Topic
Evolution Analysis
Using LDA and BERT
Embeddings, Journal
of Informetrics
(SSCI) 10. Daud, A., Malik Khizar Hayat, M. K., Song, M., Aljohani, N. R., Amjad, T., Abbasi, R. A., Dawood, H. Finding Rising Stars in Bibliometric Networks, Scientometrics (SSCI) 11. Kim, M.C. and Song, M. CI-DMR: An Analysis of Citation Impact-sensitive Research Trends, Scientometrics (SSCI) 12.
Xu,
J., Kim,
S.K., Song, M.
, Jeong, M.,
Kim, D., Kang,
J., Rousseau,
J. F., Li, X.,
Xu, W.,
Torvik,
V., Bu,
Y., Chen,
C., Ebeid,
I.A., Li,
D., & Ding,
Y.
Building
PubMed
Knowledge
Graph, Scientific
Report
(SCI)
14. Lee, N.K., Han, Y.K., Xiong, W., and Song, M. Data-driven Trajectory Analysis of the Research Trend in Automobile Fuel, Scientometics (SSCI)
2019 1.
Song, M., Baek, S.H.,
Heo, G.E. and Lee,
J.H. (2019) Inferring
Drug-Protein–Side
Effect Relationship
from Biomedical Text,
Genes (SCIE) 2018 1. Amplayo,
R.K., Hong, S.L.
and Song, M.
(2018)
Network-based
approach to detect
novelty of
scholarly
literature, Information
Sciences
(SCI) IM: 4.832 3. Chen,
C., Song, M.,
& Heo,
G.E. (2018) A
Scalable and
Adaptive
Method for
Selecting
Semantically
Equivalent
Cues of
Uncertainty, Journal
of
Informetrics
(SSCI)
6. Song,
M., Kang, K.Y.,
An, J.Y. (2018)
Investigating
Drug–Disease
Interactions in
Drug–Symptom–Disease
Triples via
Citation
Relations, JASIST
(SSCI) 10. Lv, Y., Ding, Y., Wild, D., Song, M., Ren, R.,
& Zhai, Y.
(2018).
Topology-Driven
Drug Trend
Analysis for
Drug
Discovery, Journal
of
Informetrics
(SSCI) 2017 8. Heo, G.E., Kang, K.Y., and Song, M. (2017) Analyzing the field of bioinformatics with the multi-faceted topic modeling technique, BMC Bioinformatics (SCIE) IM: 2.448 9. Baek, S.H., Lee, D.H., Kim, M.J., Lee, J.H., Song, M (2017). Enriching Plausible New Hypothesis Generation in PubMed, PLoS One (SCIE) IM: 2.806 10. An, J.Y., Jun, S.E., Jones, T. & Song, M. (2017) Data-driven Pattern Analysis of Acknowledgements in Biomedical Domain, Journal of Data and Information Management (Inaugural issue) 11. Kim, M.U.. Baek, I.J., & Song, M. (2017) Topic Diffusion Analysis of a Weighted Citation Network in Biomedical Literature, JASIST (SSCI) IM: 2.322 12. Kim, M.J., Yoo, H.J., Kim, M.Y., Kim, J.Y., Baek, S.H., Song, M. and Jong Ho Lee, J.H. (2017). EPHA6 rs4857055 C > T polymorphism associates with hypertension through triglyceride and LDL particle size in the Korean population, Lipids in Health and Disease. (SCIE)
1.
Xu, J., Ding,
Y., Song, M.,
and Chambers,
T. (2016)
Author
credit-assignment
schemas: A
comparison and
analysis, JASIST
(SSCI) IM:2.23 3. Charidimou, A., Song, M., Kim, S.Y. (2016) Exploring cerebral small vessel disease research using informetrics: a first glimpse into microbleeds, International Journal of Stroke (SCI) IM:4.029 4. Charidimou,
A., Song, M.
(2016) Evolving
trends in
cerebral
amyloid
angiopathy
research
themes:
Insights from
Medical
Subject
Heading
analysis,
Journal of the
Neurological
Sciences
(SCI) IM:
2.474 8. Jeong,
Y.K., Heo, G.E.,
Kang, K.Y., Yoon,
D.S., Song, M.
(2016) Trajectory
Analysis of the
Recent Drug
Research Trend in
Pancreatic Cancer,
Journal of
Informetrics
(SSCI) 2015 2. Song, M., Han, W.S., and Yu, W.J. (2015) Exploring Dictionary-based Bio-Entity Recognition Techniques, BMC Medical Informatics and Decision Making (SCIE) IM:1.5 3. Lee, H.Y., Kwak, J.E., Song, M., and Kim, C.W. (2015) Investigating the Relationship of Research and Education in the Field of Machine Learning using Co-phrase Analysis and Topic Modeling, Scientometrics (SSCI) IM:2.274 4. Lee, D.H., Kim, W.C., Charidimou, A., and Song, M. (2015) A bird’s-eye view of Alzheimer disease research: reflecting different perspectives of indexers, authors, or citers in mapping the field, Journal of Alzheimer's Disease (SCI) IM:3.612 5. Charidimou, A., Fox, Z., Werring, D., Song, M. (2015) Cerebral amyloid angiopathy research: on the verge on an explosion?, International Journal of Stroke (SCI) IM:4.029 6. Wu, Y., Denny, J., S. Rosenbloom. S. T., Miller, R. A., Giuse, D., Song, M., Xu, H. (2015) Clinical Abbreviation Recognition and Disambiguation, Applied Clinical Informatics (SCIE) IM:0.386 7. Yunjung Pak, Young-jin Kim, Min Song, Yong-Hak Kim. (2015). Shock Waves of Political Risk on the Stock Market: The case of Korean Companies in the U.S. Development and Society 44(1) 8. Song, M., Heo, K.E., and Ding, Y. (2015) SemPathFinder: Semantic Path Analysis for Discovering Publicly Unknown Knowledge, Journal of Informetrics (SSCI) IM: 2.4129. Song, M., Kim, W.C., Lee, D.H., Heo, G.E., Kang, K.Y. (2015) PKDE4J: Entity and Relation Extraction for Public Knowledge Discovery, Journal of Biomedical Informatics (SCI) IM: 2.194 10.
Song, M.,
Kim, H.E.J, Kim,
H.J (2015)
Exploring Author
Name
Disambiguation on
PubMed-scale, Journal
of Informetrics
(SSCI)
IM:
2.412
1. Bleik,
S., Mishra, M.,
Huan, J., Song, M.
(2014) Text
Categorization of
Biomedical Data Sets
using Graph Kernels
and a Controlled
Vocabulary, IEEE/ACM
Transactions on
Computational
Biology and
Bioinformatics
(SCI) 3. Song, M., Kim,
M., and Jung,
Y.K. (2014).
Analyzing the
Political
Landscape of
2012 Korean
Presidential
Election in
Twitter, IEEE
Intelligent
System (SCI)
7. Song, M., Heo, G.E., and
Lee, D.H.
(2014)
Identifying
the Landscape
of Alzheimer’s
Disease
Research with
Network and
Content
Analysis, Scientometrics
(SSCI) 9. Jung, D.H. and Song, M.
(2014) Time
Gap Analysis
by the Topic
Model-based
Temporal
Technique, Journal
of
Informetrics
(SSCI)
2013 7. Bleik, S., Song, M. and Xiong, W. (2013) Enhancing Biomedical Concept Extraction using Semantic Relationship Weights, International Journal of Data Mining and Bioinformatics (SCI) 8. Kim, H.J. and Song, M. (2013) An Ontology-Based
Approach to
Sentiment
Classification of
Mixed Opinions in
Online Restaurant
Reviews
Lecture Notes in
Computer Science
Volume 8238,
2013, pp 95-108
9. Ho, S.
M., Song, M. Bieber,
M., Zhang X. (2013)
IntegraL Makes Sense
Collective
Intelligence Enabled
by Anchor-based
Federated Search
Infrastructure, JASIST
(SSCI)
2012 3. Song,
M., Kim, S.Y. (2012)
Detecting the
Knowledge Structure
of Bioinformatics by
Mining Full-text
Collections , Scientometrics
(SSCI) 4. Zhang, L., Bieber, M., Song, M., Oria, V., and Millard, D. (2012) Supplementing Just-in-Time Hypermedia Functionality for Virtual Documents, Accepted in International Journal on Digital Libraries.
1.
Song, M., Yu,
H., and Han,
W.S. (2011) A
Semi-supervised
Learning
Technique to
Extract
Protein
Interaction
Sentences, BMC
Bioinformatics
2010
2. Jung, H.J., Bea, J.W., Hong, S.L., Park, C.W., and Song, M. (2016). Analysis of Twitter Public Opinion in Different Political Views: A Case Study of Sewol Ferry Accident, 한국언론학보 3. An, J.Y., Ahn, K.B., and Song, M. (2016) Text Mining Driven Content Analysis of Ebola on News Media and Scientific Publications, 문헌정보학회지 4. Kim, Y.Y. and Song, M. (2016) 영화 리뷰 감성분석을 위한 텍스트 마이닝 기반 감성 분류기 구축, Journal of Intelligent Information Systems1. Hahm, J. E. and Song, M. (2015) Detection of Hidden Knowledge Using a Citation-Based Approach Based on Swanson's ABC Model, 정 보관리학 회지 5.
Song, S.J., Kim, S.Y., Song, M. (2015) Investigation of
Topic Trends
in Information
Science by
Text Mining
Techniques:
Mining
Information
Science-related
Conferences in
DBLP, 정보관리
학회지 16. Kim, M.C., Shim, K.S., Han, N. G., Kim, Y.E., and Song, M. (2013) 트위터 상의 악의적 이용 자동분류, 문 헌정보학 회지 17. Gam M.A. and Song, M. (2013) 텍스트 마이닝을 활용한 신문사에 따른 내용 및 논조 차이점 분석, Journal of Intelligence and Information Systems (지능정보연구)
Accepted
Conference
Papers 1. Amjad, T., Daud, A., Song, M. (2018)
Measuring the Impact
of Topic Drift in
Scholarly Networks,
WWW 18 Cognitive
Track
2. Amplayo,
R.K., Hwang, S.W., and
Song, M. (2019)
AutoSense Model for
Word Sense Induction,
AAAI 19 4.
Kim, J.D., Yue
Wang, Y.,
Nicola Colic,
N., Beak,
S.H., Yong
Hwan Kim,
Y.H., and
Song, M.
(2016) Refactoring
the Genia
Event
Extraction
Shared Task
Toward a
General
Framework for
IE-Driven KB
Development.
Proceedings of
the 4th BioNLP
Shared Task
Workshop 7. Kim, Y.W., Lee, D.H., Hahm, J.E., Han, N.G., and Song, M. (2014) Investigating Socio-cultural Behavior of Users Reflected in Different Social Channels on K-pop, WWW14. 8. Song, M. and Kim, M.C. (2013) RT^2M : Real-time Twitter Trend Mining System, International Conference on Social Intelligence and Technology 2013, College Station, Pennsylvania (SOCIETY 2013)9. Bleik, S., Song, M. and Han, W.S. (2013) External Knowledge-based Features for Naïve Bayes Biomedical Text Categorization The Fifth International Conference on Emerging Databases-Technologies,Applications, and Theory (EDB 2013), Jeju Grand Hotel, Jeju Island, Korea 10. Wu,
Y., Denny, J., S.
Rosenbloom. S. T.,
Miller, R. A.,
Giuse, D., Song,
M., Xu, H. (2013)
A Prototype
Application for
Real-time
Recognition and
Disambiguation of
Clinical
Abbreviations, The
Seventh
International
Workshop on Data
and Text Mining
in Biomedical
Informatics,
November 1, San
Francisco, USA.
11. Song, M., Han, W.S., Yu, W. (2013) BoDBES: a Boosted Dictionary-based Biomedical Entity Spotter The Seventh International Workshop on Data and Text Mining in Biomedical Informatics, November 1, San Francisco, USA. 12. Mishra, M., Huan, J., Bleik, S. and Song, M. (2012) Biomedical Text Categorization with Concept Graph Representations Using a Controlled Vocabulary, BIOKDD 201213. Kim, S.Y., Song, M. (2012) Understanding Dynamics of the Field of Information Science with Text Mining Techniques, COLLNET 12 14. Yang, C., Tang, X., Kim, S.Y., Song, M. (2012) A trend analysis of domain-specific literatures with content and co-author network similarity, the 14th International Conference on Asia-Pacific Digital Libraries (ICADL 2012) 15. Choi, J.J., Kim, K.M., Song, M., Lee, D.H. (2012) TNMCA: Generation and Application of Network Motif-Based Inference Models for Drug Repositioning,DTMBIO 12 16. 박자현, 송민 (2012). 메타데이터를 활용한 조사자료의 문서범주화에 관한 연구. 제19회 한국정보관리학회 학술대회 논문집, 73-76. 17. Song, M., Yang, C., Tang, X., Han, W.S. (2012). Mapping the Field of Bioinformatics with a Content and Co-authorship Analysis, International Workshop on Biomedical and Health Informatics, Philadelphia, Oct. 4-7, 2012. 18.
Markson, C. and
Song, M. A Technique
for Suggesting
Related Wikipedia
Articles using Link
Analysis, JCDL 2012 21.
Rudniy, A. Geller,
J. and Song, M.
"Histogram
Difference String
Distance for
Enhancing Ontology
Integration in
Bioinformatics,"
accepted in Int.
Conf. on Bioinf.
and Comp. Biol.,
March 2012, Las
Vegas, NV.
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