Jongse Park

2.3k citations
43 papers · 1.5k · 2 hit papers · h-index 18

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 19
    • Embedded Systems Design Techniques 5
    • Low-power high-performance VLSI design 10
    • Advanced Memory and Neural Computing 10
    • Radiation Effects in Electronics 6
    • Ferroelectric and Negative Capacitance Devices 5

Jongse Park

41 papers receiving 1.5k citations

Jongse Park's Hit Papers

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network 2018 · 344 citations
3440+3+6Years since publication100200300

Peers

Jongse Park
Comparison fields: 5 of 60
  • Hardware and Architecture 539
  • Computational Mathematics 21
  • Computer Vision and Pattern Recognition 581
  • Artificial Intelligence 516
  • Computer Networks and Communications 351
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Citations per field
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Citations per year

Countries citing papers authored by Jongse Park

Since Specialization
Citations

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

Fields of papers citing papers by Jongse Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
Hit paper breakdown →
2018344
2
From high-level deep neural models to FPGAs
Hit paper breakdown →
2016273
3 2014120
4 2016115
5 201575
6 201863
7 201456
8 201553
9 201246
10 201532
11 201531
12 201629
13 201629
14 201429
15 201728
16 202128
17 202124
18 202221
19 201616
20 202315

About Jongse Park

Jongse Park is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Low-power high-performance VLSI design (10 papers), Advanced Memory and Neural Computing (10 papers), Advanced Neural Network Applications (7 papers), Radiation Effects in Electronics (6 papers), Security and Verification in Computing (5 papers), Embedded Systems Design Techniques (5 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). The work is most often cited by research in Hardware and Architecture (539 citations), Computational Mathematics (21 citations), Computer Vision and Pattern Recognition (581 citations), Artificial Intelligence (516 citations) and Computer Networks and Communications (351 citations). Jongse Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hadi Esmaeilzadeh, Hardik Sharma, Joon Kyung Kim, Divya Mahajan, Amir Yazdanbakhsh, Emmanuel Amaro, Bradley Thwaites, Liangzhen Lai, Naveen Suda and Vikas Chandra. Their work appears in journals such as IEEE Micro, IEEE Computer Architecture Letters, ACM SIGPLAN Notices, Proceedings of the VLDB Endowment and IEEE Transactions on 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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