Hyoukjun Kwon

2.4k citations
38 papers · 1.6k · 2 hit papers · h-index 16

Impact in

Papers in

Hyoukjun Kwon

35 papers receiving 1.5k citations

Hyoukjun Kwon's Hit Papers

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation 2022 · 167 citations
1670+2+4Years since publication50100150200250

Peers

Hyoukjun Kwon
Comparison fields: 5 of 83
  • Hardware and Architecture 576
  • Computational Mathematics 48
  • Computer Vision and Pattern Recognition 703
  • Computer Networks and Communications 339
  • Electrical and Electronic Engineering 829
Replace Anurag Mukkara with:
Anurag Mukkara United States
Priyanka Raina United States
Yakun Sophia Shao United States
Angshuman Parashar United States
Jing Pu United States
Yufei Ding United States
Minsoo Rhu South Korea
Ninghui Sun China
Hanrui Wang United States
Jingwen Leng China
Hyoukjun Kwon relative to Anurag Mukkara United States Anurag Mukkara's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hyoukjun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyoukjun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyoukjun Kwon, 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 Hyoukjun Kwon Line = papers co-authored together Hyoukjun Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
Hit paper breakdown →
2020288
2 2019204
3 2018199
4
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Hit paper breakdown →
2022167
5 2018136
6 2020116
7 202069
8 202063
9 201750
10 201935
11 201734
12 202123
13 202122
14
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators
201820
15 201918
16 201816
17 201812
18 202012
19 202110
20 20237

About Hyoukjun Kwon

Hyoukjun Kwon is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (12 papers), Interconnection Networks and Systems (7 papers), Embedded Systems Design Techniques (6 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Particle Detector Development and Performance (5 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Hardware and Architecture (576 citations), Computational Mathematics (48 citations), Computer Vision and Pattern Recognition (703 citations), Computer Networks and Communications (339 citations) and Electrical and Electronic Engineering (829 citations). Hyoukjun Kwon has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Tushar Krishna, Ananda Samajdar, Michael Pellauer, Angshuman Parashar, Prasanth Chatarasi, Vivek Sarkar, Eric Qin, Sudarshan Srinivasan, Dipankar Das and Bharat Kaul. Their work appears in journals such as IEEE Micro, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM SIGMETRICS Performance Evaluation Review and ACM SIGPLAN Notices.

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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