Jeong-Hyon Hwang

2.8k total citations · 1 hit paper
30 papers, 1.8k citations indexed

About

Jeong-Hyon Hwang is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Jeong-Hyon Hwang has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 13 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Jeong-Hyon Hwang's work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (11 papers) and Distributed systems and fault tolerance (9 papers). Jeong-Hyon Hwang is often cited by papers focused on Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (11 papers) and Distributed systems and fault tolerance (9 papers). Jeong-Hyon Hwang collaborates with scholars based in United States, South Korea and China. Jeong-Hyon Hwang's co-authors include Ying Xing, Stan Zdonik, Alexander Rasin, Uğur Çetintemel, Magdalena Bałazińska, Stanley B. Zdonik, Yanif Ahmad, Nesime Tatbul, Anurag S. Maskey and Daniel J. Abadi and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Mobile Networks and Applications.

In The Last Decade

Jeong-Hyon Hwang

30 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

The Design of the Borealis Stream Processing Engine

2005 784 citations Daniel J. Abadi, Yanif Ahmad et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeong-Hyon Hwang United States	15	1.5k	728	701	474	182	30	1.8k
Kun‐Lung Wu United States	24	1.6k 1.1×	673 0.9×	836 1.2×	548 1.2×	177 1.0×	84	2.0k
Haoyuan Li China	12	1.1k 0.8×	223 0.3×	825 1.2×	412 0.9×	248 1.4×	42	1.6k
Kostas Tzoumas Germany	14	1.1k 0.8×	354 0.5×	886 1.3×	499 1.1×	297 1.6×	19	1.6k
Kai Zeng China	17	578 0.4×	405 0.6×	311 0.4×	470 1.0×	252 1.4×	55	1.0k
Alessandro Margara Italy	18	1.1k 0.7×	461 0.6×	457 0.7×	503 1.1×	166 0.9×	64	1.4k
Jarek Gryz Canada	16	920 0.6×	1.1k 1.5×	275 0.4×	315 0.7×	176 1.0×	47	1.4k
Cheqing Jin China	19	441 0.3×	455 0.6×	416 0.6×	499 1.1×	125 0.7×	73	1.1k
Antonios Deligiannakis Greece	20	808 0.6×	485 0.7×	234 0.3×	525 1.1×	166 0.9×	67	1.2k
Amnon Lotem United States	9	927 0.6×	1.1k 1.4×	452 0.6×	756 1.6×	346 1.9×	11	1.7k
Jack Orenstein United States	14	1.1k 0.7×	1.1k 1.5×	346 0.5×	394 0.8×	283 1.6×	22	1.5k

Countries citing papers authored by Jeong-Hyon Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Jeong-Hyon Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong-Hyon Hwang. 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 Jeong-Hyon Hwang. The network helps show where Jeong-Hyon Hwang may publish in the future.

Co-authorship network of co-authors of Jeong-Hyon Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong-Hyon Hwang. A scholar is included among the top collaborators of Jeong-Hyon Hwang 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 Jeong-Hyon Hwang. Jeong-Hyon Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hwang, Jeong-Hyon, et al.. (2022). PRESTO: Fast and Effective Group Closeness Maximization. IEEE Transactions on Knowledge and Data Engineering. 1–1. 1 indexed citations

2.

Hwang, Jeong-Hyon, et al.. (2015). Distributed Graph Snapshot Placement and Query Performance in a Data Center Environment. 2013. 348–351. 1 indexed citations

3.

Kim, Yonghwan, et al.. (2015). Efficient Estimation of Betweenness Centrality in Wireless Networks. Mobile Networks and Applications. 21(3). 469–481. 3 indexed citations

4.

Hwang, Jeong-Hyon, et al.. (2014). Efficient top-k closeness centrality search. 22 indexed citations

5.

Hwang, Jeong-Hyon, et al.. (2014). A demonstration of query-oriented distribution and replication techniques for dynamic graph data. 127–130. 1 indexed citations

6.

Hwang, Jeong-Hyon, et al.. (2013). Scalable and Robust Management of Dynamic Graph Data.. Very Large Data Bases. 43–48. 16 indexed citations

7.

Muckell, Jonathan, et al.. (2013). Compression of trajectory data: a comprehensive evaluation and new approach. GeoInformatica. 18(3). 435–460. 118 indexed citations

8.

Ping, Fan, et al.. (2011). Towards Optimal Data Replication Across Data Centers. 66–71. 9 indexed citations

9.

Ping, Fan, et al.. (2011). Wide area placement of data replicas for fast and highly available data access. 1–8. 7 indexed citations

10.

Lawson, Catherine T., S. S. Ravi, & Jeong-Hyon Hwang. (2011). Compression and Mining of GPS Trace Data: New Techniques and Applications. 5 indexed citations

11.

Muckell, Jonathan, et al.. (2011). SQUISH. 1–8. 87 indexed citations

12.

Ping, Fan, Christopher McConnell, & Jeong-Hyon Hwang. (2010). A Retrospective Approach for Accurate Network Latency Prediction. 1–6. 4 indexed citations

13.

Muckell, Jonathan, Jeong-Hyon Hwang, Catherine T. Lawson, & S. S. Ravi. (2010). Algorithms for compressing GPS trajectory data. 402–405. 57 indexed citations

14.

Hwang, Jeong-Hyon, Sang-Hoon Cha, Uğur Çetintemel, & Stan Zdonik. (2008). Borealis-R. 1303–1306. 13 indexed citations

15.

Hwang, Jeong-Hyon, Ying Xing, Uğur Çetintemel, & Stan Zdonik. (2007). A Cooperative, Self-Configuring High-Availability Solution for Stream Processing. 81 indexed citations

16.

Hwang, Jeong-Hyon, Uğur Çetintemel, & Stan Zdonik. (2007). Fast and Reliable Stream Processing over Wide Area Networks. 604–613. 25 indexed citations

17.

Xing, Ying, Jeong-Hyon Hwang, Uğur Çetintemel, & Stan Zdonik. (2006). Providing resiliency to load variations in distributed stream processing. Very Large Data Bases. 775–786. 71 indexed citations

18.

Hwang, Jeong-Hyon, Magdalena Bałazińska, Alexander Rasin, et al.. (2005). High-Availability Algorithms for Distributed Stream Processing. 779–790. 193 indexed citations

19.

Abadi, Daniel J., Yanif Ahmad, Magdalena Bałazińska, et al.. (2005). The Design of the Borealis Stream Processing Engine. 277–289. 784 indexed citations breakdown →

20.

Abadi, Daniel J., Yanif Ahmad, Magdalena Bałazińska, et al.. (2005). Design Issues for Second Generation Stream Processing Engines. 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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