Sungpack Hong

2.8k citations
42 papers · 2.0k indexed · 1 hit paper · h-index 18

Sungpack Hong

42 papers receiving 1.9k citations

Hit Papers

A scalable processing-in-memory accelerator for parallel ...5352015202620182022100200300400500

Peers

Sungpack Hong
Comparison fields: 5 of 59
  • Hardware and Architecture 970
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Networks and Communications 1.0k
  • Information Systems 470
  • Artificial Intelligence 572
Replace Narayanan Sundaram with:
Narayanan Sundaram United States
Andrew Lenharth United States
Julian Shun United States
Donald Nguyen United States
Hassan Chafi United States
Martin Burtscher United States
Fabrizio Petrini United States
Rasmus Pagh Denmark
James C. Dehnert United States
Joseph Zambreno United States
Sungpack Hong relative to Narayanan Sundaram United States Narayanan Sundaram's profile →
Citations per field
00.5×1.5×1.9×
Narayanan Sundaram · 1×
Citations per year

Countries citing papers authored by Sungpack Hong

Since Specialization
Citations

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

Fields of papers citing papers by Sungpack Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sungpack Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sungpack Hong Line = papers co-authored together Sungpack Hong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201848
2 201712
3 201613
4
A scalable processing-in-memory accelerator for parallel graph processingbreakdown →
2015535
5 2015108
6 201421
7 201413
8 20127
9 2011202
10 2011257
11 201036
12 20108
13 200814
14 20064
15 200615
16
ViP: A Practical Approach to Platform-based System Modeling Methodology
20051
17 20026
18 200017
19 200015
20 20006

About Sungpack Hong

Sungpack Hong is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Information Systems, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (24 papers), Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (11 papers), Embedded Systems Design Techniques (11 papers), Advanced Graph Neural Networks (10 papers), Cloud Computing and Resource Management (8 papers), Low-power high-performance VLSI design (6 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Hardware and Architecture (970 citations), Computer Vision and Pattern Recognition (1.0k citations), Computer Networks and Communications (1.0k citations), Information Systems (470 citations) and Artificial Intelligence (572 citations). Sungpack Hong has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Kunle Olukotun, Tayo Oguntebi, Sungjoo Yoo, Junwhan Ahn, Onur Mutlu, Ki‐Young Choi, Hassan Chafi, Sang Kyun Kim, Oskar van Rest and Jinha Kim. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the VLDB Endowment, Journal of Parallel and Distributed Computing, JSTS Journal of Semiconductor Technology and Science and Journal of Circuits Systems and Computers.

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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