Heejun Yoon

1.2k total citations
12 papers, 32 citations indexed

About

Heejun Yoon is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heejun Yoon has authored 12 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heejun Yoon's work include Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers) and Cloud Computing and Resource Management (3 papers). Heejun Yoon is often cited by papers focused on Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers) and Cloud Computing and Resource Management (3 papers). Heejun Yoon collaborates with scholars based in South Korea, Switzerland and Pakistan. Heejun Yoon's co-authors include S. Y. Noh, Moon-Hyun Kim, Chi-Woong Kim, Taehyung Kim, Ahmad Waqas, S. U. Ahn, Hyun‐Chang Lim, Seung Hee Lee, Jong‐Hyuk Chung and Seung‐Yun Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Clinical Oral Investigations.

In The Last Decade

Heejun Yoon

11 papers receiving 31 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heejun Yoon South Korea 4 20 14 5 5 4 12 32
Isuru Ranawaka United States 3 24 1.2× 11 0.8× 4 0.8× 7 1.4× 3 0.8× 8 29
Lauren Milechin United States 5 11 0.6× 10 0.7× 3 0.6× 11 2.2× 5 1.3× 14 36
Hainan Ye China 4 15 0.8× 14 1.0× 2 0.4× 7 1.4× 2 0.5× 7 33
Theo C. Ruys Netherlands 5 8 0.4× 8 0.6× 3 0.6× 7 1.4× 3 0.8× 8 37
S. Vallero Italy 4 41 2.0× 26 1.9× 3 0.6× 5 1.0× 5 1.3× 13 52
T. Le Flour France 4 14 0.7× 5 0.4× 5 1.0× 5 1.0× 3 0.8× 7 24
Nikhil Patel Bangladesh 4 14 0.7× 12 0.9× 3 0.6× 20 4.0× 5 1.3× 7 41
Liangyuan Wang China 4 48 2.4× 41 2.9× 4 0.8× 6 1.2× 4 1.0× 21 78
Sudheesh Singanamalla United States 4 17 0.8× 16 1.1× 2 0.4× 16 3.2× 4 1.0× 8 40

Countries citing papers authored by Heejun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Heejun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heejun Yoon

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

All Works

12 of 12 papers shown
1.
Yoon, Heejun, et al.. (2023). Personal Mobility Safe Driving System with Knowledge Distillation. 2. 217–222.
3.
Ahn, S. U., et al.. (2022). A Disk-based Archival Storage System Using the EOS Erasure Coding Implementation for the ALICE Experiment at the CERN LHC. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Park, Won‐Bae, et al.. (2022). Endodontic Sealer-Induced Maxillary Sinusitis: Intraoral Surgical Approach and Implant Placement at a Site of Failed Nasal Endoscopic Surgeries. Journal of Oral Implantology. 49(4). 372–378. 1 indexed citations
5.
Kim, Moon-Hyun, et al.. (2021). Performance Evaluations of Distributed File Systems for Scientific Big Data in FUSE Environment. Electronics. 10(12). 1471–1471. 5 indexed citations
6.
7.
Ahn, S. U., et al.. (2020). Seeking an alternative to tape-based custodial storage. SHILAP Revista de lepidopterología. 245. 4001–4001. 1 indexed citations
8.
Bae, S., et al.. (2020). An Efficient Approach to Consolidating Job Schedulers in Traditional Independent Scientific Workflows. Applied Sciences. 10(4). 1455–1455. 2 indexed citations
9.
Kim, Chi-Woong, et al.. (2015). Camera Image Stitching using Feature Points and Geometrical Features. International Journal of Multimedia and Ubiquitous Engineering. 10(12). 289–296. 2 indexed citations
10.
Kim, Chi-Woong, et al.. (2015). Integrated management system for a large computing resources in a scientific data center. The Journal of Supercomputing. 72(9). 3511–3521. 4 indexed citations
11.
Yoon, Heejun, et al.. (2014). Updating the trusted connection of re-organized computing resource under the automated system management platform. The Journal of Supercomputing. 70(1). 200–210. 3 indexed citations
12.
Yoon, Heejun, et al.. (1996). A Parallel Processing System for a High-Speed Printed Document Recognition.. Machine Vision and Applications. 518–521. 1 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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