Min Song

Professor

Yonsei University

South Korea

Research Interests

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Min Song is a Professor at Yonsei University, South Korea. His research areas encompass rhetoric in scientific communication, bibliometric analysis in data and knowledge engineering, and the influence of algorithms in academic papers. Recent articles highlight his work on drug interaction extraction using advanced language models, blockchain topic forecasting, and multi-task learning for citation analysis.

Articles (18)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (1)

Giyeong Kim

Professor

Yonsei University

SOUTH KOREA

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Min Song

Research Interests

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About

Articles (18)

Impact of rhetorical devices on citation behavior: persuasion in scientific papers and its effect on reader response

Four decades of data & knowledge engineering: A bibliometric analysis and topic evolution study (1985–2024)

Exploring academic influence of algorithms by co-occurrence network based on full-text of academic papers

CoTEL-D3X: A chain-of-thought enhanced large language model for drug–drug interaction triplet extraction

Forecasting topic trends of blockchain utilizing topic modeling and deep learning-based time-series prediction on different document types

Examining knowledge entities and its relationships based on citation sentences using a multi-anchor bipartite network

Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification

Examining between-sectors knowledge transfer in the pharmacology field

High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts

Integrated entitymetrics analysis for health information on bipolar disorder using social media data and scientific literature

Exploring the knowledge certainty shift: Metaknowledge analysis on drugs via assertion uncertainty burstiness

Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare

Mining the evolutionary process of knowledge through multiple relationships between keywords

A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time

BioPREP: Deep learning-based predicate classification with SemMedDB

Semisupervised sentiment analysis method for online text reviews

An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation

Two layer-based trajectory analysis of the research trend in automotive fuel industry

Collaborators (1)

Giyeong Kim

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