Soon Ae Chun

3.7k total citations · 1 hit paper
132 papers, 2.1k citations indexed

About

Soon Ae Chun is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Soon Ae Chun has authored 132 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 47 papers in Information Systems and 36 papers in Sociology and Political Science. Recurrent topics in Soon Ae Chun's work include Semantic Web and Ontologies (24 papers), Service-Oriented Architecture and Web Services (21 papers) and E-Government and Public Services (21 papers). Soon Ae Chun is often cited by papers focused on Semantic Web and Ontologies (24 papers), Service-Oriented Architecture and Web Services (21 papers) and E-Government and Public Services (21 papers). Soon Ae Chun collaborates with scholars based in United States, South Korea and Netherlands. Soon Ae Chun's co-authors include Vijayalakshmi Atluri, James Geller, Stuart W. Shulman, Rodrigo Sandoval, Eduard Hovy, Jaideep Vaidya, Luis F. Luna‐Reyes, Marijn Janssen, J. Ramón Gil-García and Xiang Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Computer.

In The Last Decade

Soon Ae Chun

125 papers receiving 1.9k citations

Hit Papers

Government 2.0: Making connections between citizens, data... 2010 2026 2015 2020 2010 100 200 300
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. Government 2.0: Making connections between citizens, data and government
    2010 348 citations Soon Ae Chun, Stuart W. Shulman et al. profile →

Peers

Soon Ae Chun
Justin M. Grimes United States
Efthimios Tambouris Greece
Kieron O’Hara United Kingdom
Akemi Takeoka Chatfield Australia
Tim O’Reilly United Kingdom
P. Vigneswara Ilavarasan India
Adegboyega Ojo Ireland
Edgar A. Whitley United Kingdom
Jeremy Rose Denmark
Steven D. Sheetz United States
Justin M. Grimes United States
Soon Ae Chun
Citations per year, relative to Soon Ae Chun Soon Ae Chun (= 1×) peers Justin M. Grimes

Countries citing papers authored by Soon Ae Chun

Since Specialization
Citations

This map shows the geographic impact of Soon Ae Chun'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 Soon Ae Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon Ae Chun more than expected).

Fields of papers citing papers by Soon Ae Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon Ae Chun. 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 Soon Ae Chun. The network helps show where Soon Ae Chun may publish in the future.

Co-authorship network of co-authors of Soon Ae Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Soon Ae Chun. A scholar is included among the top collaborators of Soon Ae Chun 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 Soon Ae Chun. Soon Ae Chun 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.
Kwon, Myungjung, et al.. (2024). Understanding the Determinants of Digital Innovation in California Local Governments: Digital Inequality and Agency Assignment Perspectives. Digital Government Research and Practice. 5(3). 1–20. 2 indexed citations
2.
Chun, Soon Ae, et al.. (2024). Enhanced Multi-Class Detection of Fake News. SHILAP Revista de lepidopterología. 37. 1 indexed citations
3.
Kwon, Myungjung, et al.. (2023). Exploring Digital Innovations in California City Government. 129–134. 1 indexed citations
4.
Geller, James, et al.. (2022). Public Health Policy Monitoring through Public Perceptions: A Case of COVID-19 Tweet Analysis. Information. 13(11). 543–543. 9 indexed citations
5.
Phan, NhatHai, et al.. (2017). Enabling Real-Time Drug Abuse Detection in Tweets. 1510–1514. 25 indexed citations
6.
Yaqub, Ussama, Soon Ae Chun, Vijayalakshmi Atluri, & Jaideep Vaidya. (2017). Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Government Information Quarterly. 34(4). 613–626. 121 indexed citations
7.
Chun, Soon Ae, et al.. (2016). Slob: security learning by ontology browsing: comprehensive cyber security learning resources in a web portal. Journal of computing sciences in colleges. 31(5). 95–101. 1 indexed citations
8.
Bertot, John Carlo, Karine Nahon, Soon Ae Chun, Luis F. Luna‐Reyes, & Vijayalakshmi Atluri. (2011). Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times. International Conference on Digital Government Research. 11 indexed citations
9.
Chun, Soon Ae, et al.. (2011). Flexible Payment Recommender System. 8(4). 299–316. 1 indexed citations
10.
Chun, Soon Ae, et al.. (2010). Proceedings of the 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities. International Conference on Digital Government Research. 23 indexed citations
11.
Chun, Soon Ae, et al.. (2010). Ubiquitous government: mobile portal for Seoul Metropolitan Government. International Conference on Digital Government Research. 247–248. 4 indexed citations
12.
Chun, Soon Ae, et al.. (2009). Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government. 6 indexed citations
13.
Artigas, Francisco, et al.. (2009). Real-time ocean surge warning system, meadowlands district of New Jersey. International Conference on Digital Government Research. 216–222. 5 indexed citations
14.
Adam, Nabil R., Vijayalakshmi Atluri, Soon Ae Chun, et al.. (2008). Secure information sharing and analysis for effective emergency management. 407–408. 16 indexed citations
15.
Warner, Janice & Soon Ae Chun. (2008). A citizen privacy protection model for e-government mashup services. 188–196. 10 indexed citations
16.
Chun, Soon Ae, Nabil R. Adam, & Vijayalakshmi Atluri. (2007). MENVIS: mobile environmental information system. International Conference on Digital Government Research. 286–287. 2 indexed citations
17.
Adam, Nabil R., et al.. (2005). Technology transfer of inter-agency government services and their transnational feasibility studies. International Conference on Digital Government Research. 225–226.
18.
Lee, Yugyung, Kamleshwar Singh, Soon Ae Chun, & James Geller. (2004). Towards intelligent Web services for automating medical service composition. 384–391. 11 indexed citations
19.
Chun, Soon Ae & Vijayalakshmi Atluri. (2003). Ontology-based workflow change management for flexible eGovernment service delivery. International Conference on Digital Government Research. 1–4. 7 indexed citations
20.
Chun, Soon Ae, Vijayalakshmi Atluri, & Nabil R. Adam. (2002). Dynamic composition of workflows for customized eGovernment service delivery. International Conference on Digital Government Research. 1–7. 13 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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