Soochang Park

1.0k total citations
98 papers, 781 citations indexed

About

Soochang Park is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soochang Park has authored 98 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Networks and Communications, 41 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Soochang Park's work include Energy Efficient Wireless Sensor Networks (73 papers), Mobile Ad Hoc Networks (56 papers) and Opportunistic and Delay-Tolerant Networks (33 papers). Soochang Park is often cited by papers focused on Energy Efficient Wireless Sensor Networks (73 papers), Mobile Ad Hoc Networks (56 papers) and Opportunistic and Delay-Tolerant Networks (33 papers). Soochang Park collaborates with scholars based in South Korea, France and China. Soochang Park's co-authors include Sang‐Ha Kim, Euisin Lee, Fucai Yu, Noël Crespi, Seungmin Oh, Hosung Park, √Ångel Cuevas, Xiao Han, Leye Wang and Ye Tian and has published in prestigious journals such as Decision Support Systems, Applied Sciences and IEEE Communications Letters.

In The Last Decade

Soochang Park

89 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soochang Park South Korea 17 644 374 63 46 43 98 781
Raquel A. F. Mini Brazil 14 695 1.1× 542 1.4× 53 0.8× 41 0.9× 23 0.5× 53 896
Djallel Eddine Boubiche Algeria 16 500 0.8× 202 0.5× 53 0.8× 74 1.6× 21 0.5× 33 688
Ionut Cardei United States 11 501 0.8× 227 0.6× 35 0.6× 40 0.9× 33 0.8× 44 628
Lijie Xu China 17 340 0.5× 462 1.2× 31 0.5× 68 1.5× 26 0.6× 61 812
Konglin Zhu China 16 444 0.7× 298 0.8× 49 0.8× 112 2.4× 8 0.2× 69 720
Diego Passos Brazil 14 739 1.1× 373 1.0× 42 0.7× 47 1.0× 12 0.3× 76 930
Antonio M. Ortiz Spain 9 350 0.5× 159 0.4× 77 1.2× 79 1.7× 13 0.3× 26 460
Alade Tokuta United States 13 331 0.5× 181 0.5× 133 2.1× 35 0.8× 25 0.6× 48 536
T.F. La Porta United States 5 808 1.3× 560 1.5× 117 1.9× 46 1.0× 102 2.4× 9 1.1k
Ryoichi Shinkuma Japan 14 499 0.8× 235 0.6× 100 1.6× 111 2.4× 6 0.1× 129 737

Countries citing papers authored by Soochang Park

Since Specialization
Citations

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

Fields of papers citing papers by Soochang Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soochang Park

This figure shows the co-authorship network connecting the top 25 collaborators of Soochang Park. A scholar is included among the top collaborators of Soochang 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 Soochang Park. Soochang 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
2.
Park, Soochang, et al.. (2024). Mobility-Assisted Digital Twin Network Optimization over Industrial Internet of Things. Applied Sciences. 14(19). 9090–9090.
5.
Park, Soochang, et al.. (2022). Expected Area-Based Real-Time Routing Protocol for Supporting Mobile Sinks in Wireless Sensor Networks. Electronics. 11(20). 3350–3350. 1 indexed citations
6.
Han, Xiao, Leye Wang, Soochang Park, √Ångel Cuevas, & Noël Crespi. (2014). Alike people, alike interests? A large-scale study on interest similarity in social networks. HAL (Le Centre pour la Communication Scientifique Directe). 491–496. 17 indexed citations
7.
Park, Hosung, et al.. (2012). Selective wakeup discipline for continuous object tracking in grid-based wireless sensor networks. 7. 2179–2184. 13 indexed citations
8.
Park, Soochang, et al.. (2011). A Cluster-Based Continuous Object Tracking Scheme in Wireless Sensor Networks. 1–5. 12 indexed citations
9.
Park, Soochang, et al.. (2011). X-geocasting: Data dissemination to mobile sink groups in wireless sensor networks. 2259–2263. 1 indexed citations
10.
Park, Soochang, et al.. (2011). M-geocasting for mobile sink groups in wireless sensor networks. 580–584. 1 indexed citations
11.
Park, Soochang, Euisin Lee, Fucai Yu, & Sang‐Ha Kim. (2010). Scalable and robust data dissemination for large-scale wireless sensor networks. IEEE Transactions on Consumer Electronics. 56(3). 1616–1624. 7 indexed citations
12.
Park, Soochang, et al.. (2010). Strategy for real-time data dissemination to mobile sinks in wireless sensor networks. 1905–1910. 8 indexed citations
13.
Park, Bomi, et al.. (2010). Large-Scale Phenomena Monitoring Scheme in Wireless Sensor Networks. 7. 1–5. 8 indexed citations
18.
Yu, Fucai, et al.. (2008). Efficient Hole Detour Scheme for Geographic Routing in Wireless Sensor Networks. 153–157. 43 indexed citations
20.
Park, Soochang, et al.. (2007). A Communication Architecture to Reflect User Mobility Issue in Wireless Sensor Fields. 3376–3381. 16 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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