Sungkwon Park

634 total citations
88 papers, 427 citations indexed

About

Sungkwon Park is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Sungkwon Park has authored 88 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 37 papers in Electrical and Electronic Engineering and 19 papers in Sociology and Political Science. Recurrent topics in Sungkwon Park's work include Multimedia Communication and Technology (19 papers), Network Time Synchronization Technologies (15 papers) and Peer-to-Peer Network Technologies (11 papers). Sungkwon Park is often cited by papers focused on Multimedia Communication and Technology (19 papers), Network Time Synchronization Technologies (15 papers) and Peer-to-Peer Network Technologies (11 papers). Sungkwon Park collaborates with scholars based in South Korea, United States and Malaysia. Sungkwon Park's co-authors include Juho Lee, Michael Berger, Ying Yan, Nasir Ghani, Phooi Yee Lau, Joohan Lee, Bo Li, Bo Li, Yong Jin Park and Sangho Choe and has published in prestigious journals such as IEEE Access, Sensors and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Sungkwon Park

75 papers receiving 408 citations

Peers

Sungkwon Park
Mourad Elhadef United Arab Emirates
Hongjun Choi South Korea
Atef Ibrahim Saudi Arabia
Franz Korf Germany
Mourad Elhadef United Arab Emirates
Sungkwon Park
Citations per year, relative to Sungkwon Park Sungkwon Park (= 1×) peers Mourad Elhadef

Countries citing papers authored by Sungkwon Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungkwon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungkwon Park

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

All Works

20 of 20 papers shown
1.
Rizwana, Humaira, et al.. (2024). Lactic acid production by fermentation of hydrolysate of the macroalga Gracilaria corticata by Lactobacillus acidophilus. BioResources. 19(4). 8563–8576. 2 indexed citations
3.
Park, Sungkwon, et al.. (2023). Physical Length and Weight Reduction of Humanoid In-Robot Network with Zonal Architecture. Sensors. 23(5). 2627–2627. 3 indexed citations
5.
Park, Sungkwon, et al.. (2021). The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations. 474–478. 1 indexed citations
6.
Kim, Taehyoung & Sungkwon Park. (2019). Compare of Vehicle Management over the Air and On-Board Diagnostics. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 1–2. 1 indexed citations
7.
Park, Sungkwon, et al.. (2018). ECU Software Updating Scenario Using OTA Technology through Mobile Communication Network. 67–72. 9 indexed citations
8.
Lee, Joohan, et al.. (2014). Timeout notification method for efficient V2G communication. 376–381. 1 indexed citations
9.
Lee, Juho, et al.. (2014). An efficient method of reselecting Grand Master in IEEE 802.1AS. 303–308. 3 indexed citations
10.
Li, Bo & Sungkwon Park. (2013). Energy efficient burst scheduling in mobile TV services. IEEE Transactions on Consumer Electronics. 59(1). 24–30. 5 indexed citations
11.
Park, Sungkwon, et al.. (2011). Hybrid video-on-demand broadcasting using time-divided video data in cable. 2417. 464–467. 1 indexed citations
12.
Park, Sungkwon, et al.. (2010). Comparison of Pretreatment Method for the Enhancement of CO 2 Mineralogied Sequestration using by Serpentine. Applied Chemistry for Engineering. 21(1). 24–28. 1 indexed citations
13.
Lee, Joohan, et al.. (2008). Performance Comparison of Mobile Ad Hoc Multicast Routing Protocols. The Journal of the Institute of Webcasting, Internet and Telecommunication. 8(5). 173–179.
15.
Ghani, Nasir & Sungkwon Park. (2006). Multi-tiered service survivability in next-generation SONET/SDH networks. Photonic Network Communications. 13(1). 79–92. 7 indexed citations
16.
Park, Sungkwon, et al.. (2005). Hybrid Video on Demand Using Dynamic Channel Allocation. The Journal of Korean Institute of Communications and Information Sciences. 30. 91–103. 1 indexed citations
17.
Park, Sungkwon, A. P. Marston, & Jung Ho Kim. (2005). On the Structural Requirements of Mutlilayer Perceptronsin Binary Field. 203–207. 1 indexed citations
18.
Lee, Sukwon, et al.. (2004). Improving Channel Efficiency for Popular Video Service Using Dynamic Channel Broadcasting. IEICE Transactions on Communications. 87(10). 3068–3075. 2 indexed citations
19.
Park, Sungkwon, et al.. (2003). A Efficient Handoff Method to Support using Differserv in Hierarchical MIPv6 Environment. 한국통신학회 학술대회논문집. 313–316. 1 indexed citations
20.
Park, Sungkwon, et al.. (1995). The geometrical learning of binary neural networks. IEEE Transactions on Neural Networks. 6(1). 237–247. 73 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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