Dong-Hyeon Park

445 citations
8 papers · 312 indexed · h-index 7
Topics
Parallel Computing and Optimization Techniques (7 papers)Interconnection Networks and Systems (6 papers)Graph Theory and Algorithms (3 papers)
Journals
IEEE Journal of Solid-State CircuitsEdinburgh Research Explorer (University of Edinburgh)Edinburgh Research Explorer

In The Last Decade

Dong-Hyeon Park

8 papers receiving 311 citations

Peers

Dong-Hyeon Park
Comparison fields: 5 of 39
  • Hardware and Architecture 196
  • Computer Networks and Communications 131
  • Computer Vision and Pattern Recognition 115
  • Electrical and Electronic Engineering 106
  • Artificial Intelligence 86
Replace Siying Feng with:
Siying Feng United States
Subhankar Pal United States
Aporva Amarnath United States
Hanchen Jin United States
Po-An Tsai United States
Guyue Huang China
Guoyang Chen United States
Raghu Prabhakar United States
Licheng Guo United States
Sheng-Chun Kao United States
Dong-Hyeon Park relative to Siying Feng United States Siying Feng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dong-Hyeon Park

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Hyeon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong-Hyeon Park

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 13
2 14
3 62
4 14
5 6
6 10
7 190
8 3

About Dong-Hyeon Park

Dong-Hyeon Park is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 312 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Interconnection Networks and Systems (6 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Computational Mathematics (21 citations), Hardware and Architecture (196 citations) and Computer Networks and Communications (131 citations). Dong-Hyeon Park has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Trevor Mudge, Ronald Dreslinski, Subhankar Pal, Siying Feng, Aporva Amarnath, Chaitali Chakrabarti, Jonathan Beaumont, David Blaauw, Hun-Seok Kim and Austin Rovinski. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.

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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