Daesik Hong
- Computer Networks and Communications top 0.1%
- Wireless Communication Networks Research 127
- Cooperative Communication and Network Coding 73
- Cognitive Radio Networks and Spectrum Sensing 40
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- Advanced Wireless Communication Techniques 124
- Advanced MIMO Systems Optimization 94
- Advanced Wireless Network Optimization 62
- Full-Duplex Wireless Communications 48
- PAPR reduction in OFDM 45
- Signal Processing top 2%
- Aerospace Engineering top 2%
- Media Technology top 2%
Daesik Hong
321 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Networks and Communications 4.8k
- Electrical and Electronic Engineering 6.8k
- Signal Processing 347
- Aerospace Engineering 657
- Media Technology 139
Countries citing papers authored by Daesik Hong
This map shows the geographic impact of Daesik Hong'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 Daesik Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesik Hong more than expected).
Fields of papers citing papers by Daesik Hong
This network shows the impact of papers produced by Daesik Hong. 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 Daesik Hong. The network helps show where Daesik Hong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daesik Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 40 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 9 | |
| 14 | 2017 | 5 | |
| 15 | Interference Reduction through Multi-hop Transmission in Cognitive Radios | 2010 | 0 |
| 16 | Performance Analysis of Cognitive Relay Networks with Simple Relay Selection | 2009 | 1 |
| 17 | High Dose Chemotherapy and Autologous Peripheral Blood Stem CellTransplantation in Patients with Multiple Myeloma | 2008 | 1 |
| 18 | Modified Block Diagonalization Precoding with Greedy Approach | 2008 | 0 |
| 19 | Turbo Coded Iterative V-BLAST System Using Maximum a Posteriori Criterion | 2003 | 0 |
| 20 | The role of mesenchymal stem cells in hematopoietic stem cell transplantation | 2003 | 0 |
About Daesik Hong
Daesik Hong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 344 papers that have together received 7.4k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (127 papers), Advanced Wireless Communication Techniques (124 papers), Advanced MIMO Systems Optimization (94 papers), Cooperative Communication and Network Coding (73 papers), Advanced Wireless Network Optimization (62 papers), Full-Duplex Wireless Communications (48 papers), PAPR reduction in OFDM (45 papers) and Cognitive Radio Networks and Spectrum Sensing (40 papers). The work is most often cited by research in Computer Networks and Communications (4.8k citations), Electrical and Electronic Engineering (6.8k citations) and Signal Processing (347 citations). Daesik Hong has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jemin Lee, Sungsoo Park, Sooyong Choi, Hyun-Kee Min, Sungmook Lim, Hano Wang, Haesoon Lee, Dong‐Kyu Kim, Hyungsik Ju and Changeon Kang. Their work appears in journals such as PLoS ONE, Chemical Communications and IEEE Transactions on Signal Processing.
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.