Yon Dohn Chung

1.8k total citations · 1 hit paper
84 papers, 1.1k citations indexed

About

Yon Dohn Chung is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yon Dohn Chung has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 35 papers in Signal Processing and 31 papers in Artificial Intelligence. Recurrent topics in Yon Dohn Chung's work include Data Management and Algorithms (35 papers), Advanced Database Systems and Queries (24 papers) and Caching and Content Delivery (19 papers). Yon Dohn Chung is often cited by papers focused on Data Management and Algorithms (35 papers), Advanced Database Systems and Queries (24 papers) and Caching and Content Delivery (19 papers). Yon Dohn Chung collaborates with scholars based in South Korea, Australia and United States. Yon Dohn Chung's co-authors include Hyun‐Sik Choi, Myoung Ho Kim, Bongki Moon, Kyong-Ha Lee, Yoon-Joon Lee, Soo-Hyung Kim, Jong Wook Kim, Changsub Shim, Ki Yong Lee and Ji Yeon Lee and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Yon Dohn Chung

81 papers receiving 1.1k citations

Hit Papers

Parallel data processing with MapReduce 2012 2026 2016 2021 2012 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. Parallel data processing with MapReduce
    2012 354 citations Kyong-Ha Lee, Yoon-Joon Lee et al. ACM SIGMOD Record profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yon Dohn Chung South Korea 18 611 449 400 250 155 84 1.1k
Wolf‐Tilo Balke Germany 19 693 1.1× 423 0.9× 464 1.2× 515 2.1× 177 1.1× 113 1.2k
Jianling Sun China 20 366 0.6× 514 1.1× 924 2.3× 249 1.0× 166 1.1× 79 1.4k
Vladimir Vlassov Sweden 15 591 1.0× 366 0.8× 406 1.0× 55 0.2× 181 1.2× 96 1.1k
Panagiotis Karras Denmark 21 539 0.9× 1.0k 2.3× 307 0.8× 463 1.9× 339 2.2× 87 1.6k
Wael Khreich Canada 12 280 0.5× 574 1.3× 214 0.5× 225 0.9× 67 0.4× 24 971
Markus Miettinen Germany 16 638 1.0× 504 1.1× 326 0.8× 390 1.6× 177 1.1× 36 1.2k
Udai Pratap Rao India 17 313 0.5× 453 1.0× 329 0.8× 91 0.4× 56 0.4× 70 819
Moritz Steiner United States 17 1.2k 1.9× 330 0.7× 239 0.6× 222 0.9× 224 1.4× 40 1.3k
Michael Grossniklaus Germany 14 445 0.7× 438 1.0× 249 0.6× 292 1.2× 301 1.9× 62 981
Dilys Thomas United States 10 462 0.8× 773 1.7× 248 0.6× 267 1.1× 59 0.4× 20 1.1k

Countries citing papers authored by Yon Dohn Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yon Dohn Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yon Dohn Chung. 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 Yon Dohn Chung. The network helps show where Yon Dohn Chung may publish in the future.

Co-authorship network of co-authors of Yon Dohn Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yon Dohn Chung. A scholar is included among the top collaborators of Yon Dohn Chung 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 Yon Dohn Chung. Yon Dohn Chung 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.
Kim, Minsoo, et al.. (2025). SleepWatcher: Detecting sleep apnea/hypopnea syndrome from wearable devices using deep learning. Biomedical Signal Processing and Control. 103. 107460–107460. 1 indexed citations
2.
Chung, Yon Dohn, et al.. (2024). QHB+: Accelerated Configuration Optimization for Automated Performance Tuning of Spark SQL Applications. IEEE Access. 12. 60138–60148. 2 indexed citations
3.
4.
Chung, Yon Dohn, et al.. (2023). Group Tracking for Video Monitoring Systems: A Spatio-Temporal Query Processing Approach. IEEE Access. 11. 19969–19987. 1 indexed citations
5.
Shim, Changsub, et al.. (2023). CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages. BMC Bioinformatics. 24(1). 124–124. 2 indexed citations
6.
Chung, Yon Dohn, et al.. (2021). Subarray Skyline Query Processing in Array Databases. 37–48. 3 indexed citations
7.
Chung, Yon Dohn, et al.. (2021). IDRA: An In-Storage Data Reorganization Accelerator for Multidimensional Databases. IEEE Embedded Systems Letters. 13(4). 198–201. 1 indexed citations
8.
Chung, Yon Dohn, et al.. (2020). Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values. BMC Medical Informatics and Decision Making. 20(1). 155–155. 12 indexed citations
9.
10.
Kim, Minsoo, et al.. (2019). MARS: A multi-level array representation for simulation data. Future Generation Computer Systems. 111. 419–434. 5 indexed citations
11.
Kim, Wooil, et al.. (2018). Moving view field nearest neighbor queries. Data & Knowledge Engineering. 119. 58–70. 3 indexed citations
12.
Kim, Soohyung, et al.. (2017). Models for Privacy-preserving Data Publishing : A Survey. Journal of KIISE. 44(2). 195–207. 1 indexed citations
13.
Kim, Soo-Hyung & Yon Dohn Chung. (2017). An anonymization protocol for continuous and dynamic privacy-preserving data collection. Future Generation Computer Systems. 93. 1065–1073. 25 indexed citations
14.
Kim, Soo-Hyung, et al.. (2016). Privacy-preserving data cube for electronic medical records: An experimental evaluation. International Journal of Medical Informatics. 97. 33–42. 24 indexed citations
15.
Kim, Soo-Hyung, et al.. (2014). A framework to preserve the privacy of electronic health data streams. Journal of Biomedical Informatics. 50. 95–106. 42 indexed citations
16.
Lee, Kyong-Ha, Yoon-Joon Lee, Hyun‐Sik Choi, Yon Dohn Chung, & Bongki Moon. (2012). Parallel data processing with MapReduce. ACM SIGMOD Record. 40(4). 11–20. 354 indexed citations breakdown →
17.
Chung, Yon Dohn, et al.. (2011). Processing generalized k-nearest neighbor queries on a wireless broadcast stream. Information Sciences. 188. 64–79. 17 indexed citations
18.
Chung, Yon Dohn. (2008). A cache invalidation scheme for continuous partial match queries in mobile computing environments. Distributed and Parallel Databases. 23(3). 207–234. 3 indexed citations
19.
Kim, Jung Hoon, Yon Dohn Chung, & Myoung Ho Kim. (2006). An XML data allocation method on disks. Journal of Systems Architecture. 52(10). 578–588. 1 indexed citations
20.
Chung, Yon Dohn, et al.. (2002). The RD-Tree: a structure for processing Partial-MAX/MIN queries in OLAP. Information Sciences. 146(1-4). 137–149. 1 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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