Juha Yli‐Kaakinen
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- T. SaramäkiMarkku RenforsMikko ValkamaToni LevanenFredric J. HarrisKari PajukoskiHåkan JohanssonJuho Pirskanen
- Topics
- PAPR reduction in OFDM (34 papers)Digital Filter Design and Implementation (30 papers)Advanced Adaptive Filtering Techniques (16 papers)
In The Last Decade
Juha Yli‐Kaakinen
57 papers receiving 623 citations
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 445
- Signal Processing 356
- Computational Mechanics 220
- Computer Vision and Pattern Recognition 135
- Biomedical Engineering 102
Countries citing papers authored by Juha Yli‐Kaakinen
This map shows the geographic impact of Juha Yli‐Kaakinen'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 Juha Yli‐Kaakinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Yli‐Kaakinen more than expected).
Fields of papers citing papers by Juha Yli‐Kaakinen
This network shows the impact of papers produced by Juha Yli‐Kaakinen. 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 Juha Yli‐Kaakinen. The network helps show where Juha Yli‐Kaakinen may publish in the future.
Co-authorship network of co-authors of Juha Yli‐Kaakinen
This figure shows the co-authorship network connecting the top 25 collaborators of Juha Yli‐Kaakinen. A scholar is included among the top collaborators of Juha Yli‐Kaakinen 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 Juha Yli‐Kaakinen. Juha Yli‐Kaakinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 11 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | Power Amplifier Effects on Frequency Localized 5G Candidate Waveforms | 4 |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | Channel Equalization in Fast-Convolution Filter Bank based Receivers for Professional Mobile Radio | 16 |
| 13 | Fast-convolution filter bank approach for non-contiguous spectrum use | 12 |
| 14 | Timing Offset Compensation in Fast-Convolution Filter Bank Based Waveform Processing | 11 |
| 15 | An improved approach for the synthesis of multiplication-free highly-selective FIR half-band decimators and interpolators | 2 |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | 1 |
About Juha Yli‐Kaakinen
Juha Yli‐Kaakinen is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering, having authored 59 papers that have together received 725 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (34 papers), Digital Filter Design and Implementation (30 papers) and Advanced Adaptive Filtering Techniques (16 papers). The work is most often cited by research in Signal Processing (356 citations), Computational Mechanics (220 citations) and Electrical and Electronic Engineering (445 citations). Juha Yli‐Kaakinen has collaborated with scholars based in Finland, Germany and China. Frequent co-authors include T. Saramäki, Markku Renfors, Mikko Valkama, Toni Levanen, Fredric J. Harris, Kari Pajukoski, Håkan Johansson, Juho Pirskanen, Jaakko Vihriälä and Kai Shao. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.