Yong‐Yeol Ahn

12.2k total citations · 6 hit papers
95 papers, 6.7k citations indexed

About

Yong‐Yeol Ahn is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Yong‐Yeol Ahn has authored 95 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistical and Nonlinear Physics, 24 papers in Sociology and Political Science and 20 papers in Artificial Intelligence. Recurrent topics in Yong‐Yeol Ahn's work include Complex Network Analysis Techniques (40 papers), Opinion Dynamics and Social Influence (23 papers) and Misinformation and Its Impacts (12 papers). Yong‐Yeol Ahn is often cited by papers focused on Complex Network Analysis Techniques (40 papers), Opinion Dynamics and Social Influence (23 papers) and Misinformation and Its Impacts (12 papers). Yong‐Yeol Ahn collaborates with scholars based in United States, South Korea and China. Yong‐Yeol Ahn's co-authors include Sune Lehmann, James P. Bagrow, Haewoon Kwak, Sue Moon, Meeyoung Cha, Pablo Rodríguez, Hawoong Jeong, Seungyeop Han, Alessandro Flammini and Sebastian E. Ahnert and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Yong‐Yeol Ahn

91 papers receiving 6.4k citations

Hit Papers

Link communities reveal multiscale complexity in networks 2007 2026 2013 2019 2010 2007 2007 2009 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Link communities reveal multiscale complexity in networks
    2010 1.3k citations Yong‐Yeol Ahn, James P. Bagrow et al. Nature profile →
  2. I tube, you tube, everybody tubes
    2007 1.1k citations Meeyoung Cha, Haewoon Kwak et al. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) profile →
  3. Analysis of topological characteristics of huge online social networking services
    2007 610 citations Yong‐Yeol Ahn, Haewoon Kwak et al. profile →
  4. Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems
    2009 343 citations Meeyoung Cha, Haewoon Kwak et al. profile →
  5. Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis
    2019 205 citations Cassidy R. Sugimoto, Yong‐Yeol Ahn et al. profile →
  6. Systematic Evaluation of State Policy Interventions Targeting the US Opioid Epidemic, 2007-2018
    2021 117 citations Yong‐Yeol Ahn et al. profile →

Peers

Yong‐Yeol Ahn
Jari Saramäki Finland
Mark Newman United Kingdom
Filippo Radicchi United States
Petter Holme Sweden
Jukka‐Pekka Onnela United States
Vladimir Batagelj Slovenia
Sune Lehmann Denmark
Kristina Lerman United States
Manlio De Domenico Italy
Kevin Lang United States
Jari Saramäki Finland
Yong‐Yeol Ahn
Citations per year, relative to Yong‐Yeol Ahn Yong‐Yeol Ahn (= 1×) peers Jari Saramäki

Countries citing papers authored by Yong‐Yeol Ahn

Since Specialization
Citations

This map shows the geographic impact of Yong‐Yeol Ahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yong‐Yeol Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Yeol Ahn more than expected).

Fields of papers citing papers by Yong‐Yeol Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Yeol Ahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yong‐Yeol Ahn. The network helps show where Yong‐Yeol Ahn may publish in the future.

Co-authorship network of co-authors of Yong‐Yeol Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Yeol Ahn. A scholar is included among the top collaborators of Yong‐Yeol Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong‐Yeol Ahn. Yong‐Yeol Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fortunato, Santo, et al.. (2025). Representing the disciplinary structure of physics: A comparative evaluation of graph and text embedding methods. Quantitative Science Studies. 6. 263–280. 1 indexed citations
3.
Radicchi, Filippo, et al.. (2024). Network community detection via neural embeddings. Nature Communications. 15(1). 9446–9446. 12 indexed citations
4.
Flammini, Alessandro, et al.. (2024). Emergence of simple and complex contagion dynamics from weighted belief networks. Science Advances. 10(15). eadh4439–eadh4439. 4 indexed citations
5.
Bagrow, James P. & Yong‐Yeol Ahn. (2024). Working with Network Data. Cambridge University Press eBooks.
6.
Ahn, Yong‐Yeol, et al.. (2024). Labor Space: A Unifying Representation of the Labor Market via Large Language Models. SSRN Electronic Journal.
7.
An, Jisun, et al.. (2023). Can we trust the evaluation on ChatGPT?. 47–54. 31 indexed citations
8.
Cha, Meeyoung, Chiyoung Cha, Karandeep Singh, et al.. (2021). Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study. JMIR Human Factors. 8(1). e23279–e23279. 28 indexed citations
9.
Bento, Ana I., Thủy Nguyễn, Coady Wing, et al.. (2020). Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases. Proceedings of the National Academy of Sciences. 117(21). 11220–11222. 219 indexed citations
10.
Gu, Weiwei, et al.. (2020). Defining and identifying the optimal embedding dimension of networks. arXiv (Cornell University). 1 indexed citations
11.
Gates, Alexander J. & Yong‐Yeol Ahn. (2017). The impact of random models on clustering similarity. Journal of Machine Learning Research. 18(1). 3049–3076. 32 indexed citations
12.
Ke, Qing, Yong‐Yeol Ahn, & Cassidy R. Sugimoto. (2017). A systematic identification and analysis of scientists on Twitter. PLoS ONE. 12(4). e0175368–e0175368. 109 indexed citations
13.
Bollen, Johan, et al.. (2016). Collective Dynamics of Belief Evolution under Cognitive Coherence and Social Conformity. PLoS ONE. 11(11). e0165910–e0165910. 38 indexed citations
14.
Seal, Abhik, Yong‐Yeol Ahn, & David Wild. (2015). Optimizing drug–target interaction prediction based on random walk on heterogeneous networks. Journal of Cheminformatics. 7(1). 40–40. 50 indexed citations
15.
Nematzadeh, Azadeh, Emilio Ferrara, Alessandro Flammini, & Yong‐Yeol Ahn. (2014). Optimal network clustering for information diffusion.. arXiv (Cornell University). 2 indexed citations
16.
Nematzadeh, Azadeh, Emilio Ferrara, Alessandro Flammini, & Yong‐Yeol Ahn. (2014). Optimal Network Modularity for Information Diffusion. Physical Review Letters. 113(8). 88701–88701. 211 indexed citations
17.
Ahn, Yong‐Yeol, James P. Bagrow, & Sune Lehmann. (2010). Link communities reveal multiscale complexity in networks. Nature. 466(7307). 761–764. 1250 indexed citations breakdown →
18.
Ahn, Yong‐Yeol, James P. Bagrow, & Sune Lehmann. (2009). Communities and Hierarchical Organization of Links in Complex Networks. arXiv (Cornell University). 18 indexed citations
19.
Kwak, Haewoon, et al.. (2008). Comparison of online social relations in volume vs interaction: A case study of Cyworld. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 138 indexed citations
20.
Lee, Sang Hoon, Pan‐Jun Kim, Yong‐Yeol Ahn, & Hawoong Jeong. (2007). Googling hidden interactions: Web search engine based weighted network construction. arXiv (Cornell University). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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