Soyeon Park

3.9k total citations · 1 hit paper
80 papers, 2.7k citations indexed

About

Soyeon Park is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Soyeon Park has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Information Systems, 29 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in Soyeon Park's work include Parallel Computing and Optimization Techniques (16 papers), Software Testing and Debugging Techniques (14 papers) and Software System Performance and Reliability (13 papers). Soyeon Park is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Software Testing and Debugging Techniques (14 papers) and Software System Performance and Reliability (13 papers). Soyeon Park collaborates with scholars based in United States, South Korea and China. Soyeon Park's co-authors include Shan Lu, Yuanyuan Zhou, Eunsoo Seo, Ding Yuan, Joon Ho Lee, W. Bruce Croft, Jiwoon Jeon, Yuanyuan Zhou, Stefan Savage and Zuoning Yin and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Soyeon Park

67 papers receiving 2.5k citations

Hit Papers

Learning from mistakes 2008 2026 2014 2020 2008 200 400 600
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. Learning from mistakes
    2008 605 citations Shan Lu, Soyeon Park et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soyeon Park United States 23 1.4k 1.2k 986 934 718 80 2.7k
Iulian Neamtiu United States 28 1.4k 1.0× 2.0k 1.6× 228 0.2× 1.4k 1.5× 927 1.3× 104 3.2k
Bryan Ford United States 33 2.5k 1.8× 1.7k 1.4× 811 0.8× 205 0.2× 1.8k 2.5× 121 4.0k
Pankaj Jalote India 23 768 0.5× 1.0k 0.8× 227 0.2× 588 0.6× 507 0.7× 109 1.9k
Earl T. Barr United Kingdom 23 763 0.5× 2.5k 2.1× 188 0.2× 2.0k 2.2× 985 1.4× 71 3.4k
Mira Mezini Germany 31 1.3k 0.9× 3.0k 2.5× 337 0.3× 1.0k 1.1× 2.5k 3.5× 230 4.0k
Yannis Smaragdakis United States 35 1.4k 1.0× 2.4k 2.0× 1.1k 1.1× 2.0k 2.1× 2.0k 2.8× 128 4.4k
A. Jefferson Offutt United States 32 570 0.4× 2.5k 2.1× 517 0.5× 4.0k 4.3× 388 0.5× 61 4.4k
Patrick Lam Canada 15 501 0.4× 924 0.8× 258 0.3× 789 0.8× 739 1.0× 52 1.8k
Dinghao Wu United States 28 516 0.4× 1.2k 1.0× 273 0.3× 909 1.0× 1.0k 1.4× 103 2.4k
Saumya Debray United States 26 960 0.7× 938 0.8× 688 0.7× 747 0.8× 1.8k 2.5× 101 2.9k

Countries citing papers authored by Soyeon Park

Since Specialization
Citations

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

Fields of papers citing papers by Soyeon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soyeon Park. 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 Soyeon Park. The network helps show where Soyeon Park may publish in the future.

Co-authorship network of co-authors of Soyeon Park

This figure shows the co-authorship network connecting the top 25 collaborators of Soyeon Park. A scholar is included among the top collaborators of Soyeon Park 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 Soyeon Park. Soyeon Park 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.
Park, Sojin, et al.. (2025). Computing green remodeling construction cost for public buildings based on genetic algorithm and case-based reasoning. Developments in the Built Environment. 22. 100655–100655. 2 indexed citations
2.
Park, Soyeon, et al.. (2025). On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery. IEEE Access. 13. 194691–194713. 1 indexed citations
3.
4.
Park, Soyeon & Hyokyung Bahn. (2024). WANE: Workload Adaptive Neuro-genetic Engine for Container Usage Prediction. 311–318. 4 indexed citations
5.
Ji, Hyangeun, Insook Han, & Soyeon Park. (2024). Teaching foreign language with conversational AI: Teacher-student-AI interaction. Language learning & technology. 28(2). 91–108. 3 indexed citations
6.
Park, Soyeon & Hyokyung Bahn. (2023). Performance Analysis of Container Effect in Deep Learning Workloads and Implications. Applied Sciences. 13(21). 11654–11654. 1 indexed citations
7.
Kang, Youngok, et al.. (2022). Classifying Tourists’ Photos and Exploring Tourism Destination Image Using a Deep Learning Model. Journal of Quality Assurance in Hospitality & Tourism. 23(6). 1480–1508. 20 indexed citations
8.
Kang, Youngok, et al.. (2021). Transfer Learning of a Deep Learning Model for Exploring Tourists’ Urban Image Using Geotagged Photos. ISPRS International Journal of Geo-Information. 10(3). 137–137. 41 indexed citations
9.
Park, Soyeon, et al.. (2020). Relationship between Airline's Distribution Services SNS Content and Customer Satisfaction. Journal of Distribution Science. 18(8). 5–14.
10.
11.
Park, Soyeon, et al.. (2020). The Effect of STEAM-based Unplugged Play Activities Using Robots on the Improvement of Children's Creative and Social Personalities. Korean Journal of Childcare and Education. 16(5). 1–26. 4 indexed citations
12.
Park, Soyeon, et al.. (2020). Fuzzing JavaScript Engines with Aspect-preserving Mutation. 1629–1642. 49 indexed citations
13.
Park, Soyeon, Sangho Lee, Wen Xu, Hyungon Moon, & Taesoo Kim. (2019). libmpk: Software Abstraction for Intel Memory Protection Keys (Intel MPK).. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 241–254. 57 indexed citations
14.
Park, Soyeon. (2013). Analysis and Evaluation of Term Suggestion Services of Korean Search Portals: The Case of Naver and Google Korea. Journal of the Korean Society for information Management. 30(2). 297–315.
15.
Yuan, Ding, et al.. (2011). Improving software diagnosability via log enhancement. ACM SIGPLAN Notices. 46(3). 3–14.
16.
Lu, Shan, Soyeon Park, Chongfeng Hu, et al.. (2007). MUVI. 103–116. 158 indexed citations
17.
18.
Park, Soyeon & Nicholas J. Belkin. (1999). Supporting interaction with distributed and heterogeneous information resources. UMI eBooks. 3 indexed citations
19.
Park, Soyeon, et al.. (1997). Control or Management: A Comparison of the Two Approaches for Establishing Metadata Schemes in the Digital Environment.. Proceedings of the ASIS Annual Meeting. 34. 3 indexed citations
20.
Belkin, Nicholas J., et al.. (1995). Using relevance feedback and ranking in interactive searching. Text REtrieval Conference. 181–209. 24 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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