2026 Meeyoung Cha: 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	47	6289	6106	50	50	184	20906

Meeyoung Cha publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Meeyoung Cha sits on this spectrum.

32 publications 991+

This scientist: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Meeyoung Cha D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Meeyoung Cha sits on this spectrum.

30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Meeyoung Cha is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research spans multiple areas within computer science and social sciences, focusing on intersections of technology, society, and communication.

The primary fields of study for Meeyoung Cha include:

Computer Science
Social Sciences

The subfields of study further detail the expertise as:

Artificial Intelligence
Sociology and Political Science
Communication
Statistical and Nonlinear Physics
Safety Research

Key research topics covered by Meeyoung Cha consist of:

Misinformation and Its Impacts
Ethics and Social Impacts of AI
Hate Speech and Cyberbullying Detection
Topic Modeling
Sentiment Analysis and Opinion Mining
Social Media and Politics
Complex Network Analysis Techniques

Significant recent papers authored or coauthored by Meeyoung Cha include:

"Emoticon Style: Interpreting Differences in Emoticons Across Cultures" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Perception Differences between the Depressed and Non-Depressed Users in Twitter" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Media Landscape in Twitter: A World of New Conventions and Political Diversity" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Misinformation, believability, and vaccine acceptance over 40 countries: Takeaways from the initial phase of the COVID-19 infodemic" (2022), PLoS ONE
"The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study" (2023), Journal of Medical Internet Research

Frequent coauthors who have collaborated extensively with Meeyoung Cha are:

Sungwon Han
Gabriel Lima
Sundong Kim
Jiyoung Han
Sungwon Park

The main publication venues where Meeyoung Cha's work appears repeatedly include:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the AAAI Conference on Artificial Intelligence
Journal of KIISE
Journal of Medical Internet Research

Best Publications

Measuring User Influence in Twitter: The Million Follower Fallacy

Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi

4597
Citations
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

2190
Citations
On the evolution of user interaction in Facebook

Bimal Viswanath;Alan Mislove;Meeyoung Cha;Krishna P. Gummadi

1907
Citations
Characterizing user behavior in online social networks

Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

1197
Citations
A measurement-driven analysis of information propagation in the flickr social network

Meeyoung Cha;Alan Mislove;Krishna P. Gummadi

1099
Citations
Detecting rumors from microblogs with recurrent neural networks

Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon

1052
Citations
Prominent Features of Rumor Propagation in Online Social Media

Sejeong Kwon;Meeyoung Cha;Kyomin Jung;Wei Chen

912
Citations
Comparing and combining sentiment analysis methods

Pollyanna Gonçalves;Matheus Araújo;Fabrício Benevenuto;Meeyoung Cha

622
Citations
Analyzing the video popularity characteristics of large-scale user generated content systems

Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

615
Citations
Rumor Detection over Varying Time Windows.

Sejeong Kwon;Meeyoung Cha;Kyomin Jung

394
Citations
Watching television over an IP network

Meeyoung Cha;Pablo Rodriguez;Jon Crowcroft;Sue Moon

366
Citations
Characterizing social cascades in flickr

Meeyoung Cha;Alan Mislove;Ben Adams;Krishna P. Gummadi

246
Citations
Depressive Moods of Users Portrayed in Twitter

Minsu Park;Chiyoung Cha;Meeyoung Cha

240
Citations
Emoticon Style: Interpreting Differences in Emoticons Across Cultures

Jaram Park;Vladimir Barash;Clay Fink;Meeyoung Cha

231
Citations
The World of Connections and Information Flow in Twitter

Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi

225
Citations
Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter: Evidence from Big Data Analysis

Jaram Park;Young Min Baek;Meeyoung Cha

217
Citations
Media landscape in Twitter: A world of new conventions and political diversity

Jisun An;Meeyoung Cha;Krishna P. Gummadi;Jon Crowcroft

216
Citations
On word-of-mouth based discovery of the web

Tiago Rodrigues;Fabrício Benevenuto;Meeyoung Cha;Krishna Gummadi

176
Citations
Perception Differences between the Depressed and Non-Depressed Users in Twitter

Minsu Park;David W. McDonald;Meeyoung Cha

176
Citations
On next-generation telco-managed P2P TV architectures

Meeyoung Cha;Pablo Rodriguez;Sue Moon;Jon Crowcroft

164
Citations
Characterizing user navigation and interactions in online social networks

Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

164
Citations

Frequent Co-Authors

Krishna P. Gummadi Max Planck Institute for Software Systems

Sue Moon Korea Advanced Institute of Science and Technology

Fabrício Benevenuto Universidade Federal de Minas Gerais

Jon Crowcroft University of Cambridge

Virgilio Almeida Universidade Federal de Minas Gerais

Haewoon Kwak Indiana University

Hamed Haddadi Imperial College London

Daniele Quercia Nokia Bell Labs

Yong-Yeol Ahn Indiana University

Yong Li Tsinghua University

External Links

Wikipedia of Meeyoung Cha Personal website of Meeyoung Cha Google Scholar page

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