Haesik Kim

661 total citations
29 papers, 366 citations indexed

About

Haesik Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Haesik Kim has authored 29 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 6 papers in Media Technology. Recurrent topics in Haesik Kim's work include Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Communication Technologies (5 papers) and Cooperative Communication and Network Coding (5 papers). Haesik Kim is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Communication Technologies (5 papers) and Cooperative Communication and Network Coding (5 papers). Haesik Kim collaborates with scholars based in Finland, United States and Taiwan. Haesik Kim's co-authors include Yang Yang, Tao Chen, Honggang Zhang, Kari Horneman, Тао Чен, A.C.M. Fong, Kim Fung Tsang, G.Y. Hong, Bernard Fong and Garik Markarian and has published in prestigious journals such as IEEE Communications Magazine, IEEE Wireless Communications and Journal of Communications and Networks.

In The Last Decade

Haesik Kim

25 papers receiving 349 citations

Peers

Haesik Kim
Haesik Kim
Citations per year, relative to Haesik Kim Haesik Kim (= 1×) peers Kari Horneman

Countries citing papers authored by Haesik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Haesik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haesik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Haesik Kim. A scholar is included among the top collaborators of Haesik Kim 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 Haesik Kim. Haesik Kim 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.
Kim, Haesik. (2024). Dynamic Resource Allocation Using Deep Reinforcement Learning for 6G Metaverse. 538–543. 3 indexed citations
2.
Kim, Haesik. (2024). A Hybrid Frequency Offset Estimation Combining Data-Driven Method and Model-Driven Method for 6G OFDMA Systems. Zenodo (CERN European Organization for Nuclear Research). 19–24.
3.
Kim, Haesik. (2023). Efficient IoT Devices Deployment Using Branch and Bound Method. 353–358. 1 indexed citations
4.
Fong, Bernard, et al.. (2023). Special Section: Consumer Healthcare Technologies in Smart Cities. IEEE Consumer Electronics Magazine. 12(4). 63–65. 1 indexed citations
6.
Fong, Bernard, Haesik Kim, A.C.M. Fong, G.Y. Hong, & Kim Fung Tsang. (2023). Reliability Optimization in the Design and Implementation of 6G Vehicle-to-Infrastructure Systems for Emergency Management in a Smart City Environment. IEEE Communications Magazine. 61(8). 148–153. 10 indexed citations
7.
Kim, Haesik. (2022). 5G Vertical Trials, Use Cases and Scenarios. 81–86. 1 indexed citations
8.
9.
Fong, Bernard, Haesik Kim, A.C.M. Fong, G.Y. Hong, & Kim Fung Tsang. (2022). Self-Cognizant Prognostics for the Design and Implementation of Mission-Critical Telemedicine Systems under the Influence of Heavy Rainfall. IEEE Communications Magazine. 60(8). 80–84. 3 indexed citations
10.
Kim, Haesik. (2022). Artificial Intelligence for 6G. 14 indexed citations
11.
Kim, Haesik. (2021). Signal Recovery Technique Using Recurrent Neural Network in Interference Environment. 2021 International Conference on Information and Communication Technology Convergence (ICTC). 178–183. 2 indexed citations
12.
Kim, Haesik. (2020). Performance Analysis of K Means Clustering Algorithms for mMTC Systems. 30–35. 6 indexed citations
13.
Kim, Haesik, et al.. (2018). Energy efficient dynamic resource allocation for wireless systems using receiver puncturing technique. Journal of Communications and Networks. 20(4). 366–373. 3 indexed citations
14.
Kim, Haesik. (2015). Wireless Communications Systems Design. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
15.
16.
Kim, Haesik, et al.. (2013). ENVIRAN: Energy efficient virtual radio access networks. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–5. 2 indexed citations
17.
Kim, Haesik & Tao Chen. (2012). Energy efficient femtocell power management. 586–590. 1 indexed citations
18.
Chen, Tao, Yang Yang, Honggang Zhang, Haesik Kim, & Kari Horneman. (2011). Network energy saving technologies for green wireless access networks. IEEE Wireless Communications. 18(5). 30–38. 162 indexed citations
19.
Чен, Тао, Haesik Kim, & Yang Yang. (2010). Energy efficiency metrics for green wireless communications. 1–6. 90 indexed citations
20.
Kim, Haesik, et al.. (2010). Nonlinear Product Codes and Their Low Complexity Iterative Decoding. ETRI Journal. 32(4). 588–595. 4 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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