Juha Yli‐Kaakinen

1.0k total citations
59 papers, 725 citations indexed

About

Juha Yli‐Kaakinen is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computational Mechanics. According to data from OpenAlex, Juha Yli‐Kaakinen has authored 59 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 30 papers in Signal Processing and 16 papers in Computational Mechanics. Recurrent topics in Juha Yli‐Kaakinen's work include PAPR reduction in OFDM (34 papers), Digital Filter Design and Implementation (30 papers) and Advanced Adaptive Filtering Techniques (16 papers). Juha Yli‐Kaakinen is often cited by papers focused on PAPR reduction in OFDM (34 papers), Digital Filter Design and Implementation (30 papers) and Advanced Adaptive Filtering Techniques (16 papers). Juha Yli‐Kaakinen collaborates with scholars based in Finland, Germany and China. Juha Yli‐Kaakinen's co-authors include T. Saramäki, Markku Renfors, Mikko Valkama, Toni Levanen, Fredric J. Harris, Kari Pajukoski, Håkan Johansson, Juho Pirskanen, Kai Shao and Jaakko Vihriälä and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Juha Yli‐Kaakinen

57 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juha Yli‐Kaakinen Finland 17 445 356 220 135 102 59 725
Linda S. DeBrunner United States 10 127 0.3× 290 0.8× 158 0.7× 171 1.3× 76 0.7× 81 449
Daniel Ménard France 15 207 0.5× 403 1.1× 45 0.2× 362 2.7× 42 0.4× 76 727
Martin Kumm Germany 17 433 1.0× 249 0.7× 48 0.2× 113 0.8× 131 1.3× 52 701
S.A. White United States 10 250 0.6× 529 1.5× 197 0.9× 223 1.7× 192 1.9× 27 757
Chao Cheng United States 11 177 0.4× 238 0.7× 54 0.2× 182 1.3× 58 0.6× 23 432
Sau-Gee Chen Taiwan 13 409 0.9× 275 0.8× 31 0.1× 60 0.4× 35 0.3× 80 565
N.J. Fliege Germany 12 374 0.8× 251 0.7× 98 0.4× 118 0.9× 25 0.2× 53 533
P. Senn France 12 381 0.9× 190 0.5× 52 0.2× 67 0.5× 173 1.7× 55 520
Ya Jun Yu Singapore 16 177 0.4× 594 1.7× 331 1.5× 296 2.2× 169 1.7× 51 695
Per Löwenborg Sweden 13 436 1.0× 526 1.5× 270 1.2× 243 1.8× 317 3.1× 63 809

Countries citing papers authored by Juha Yli‐Kaakinen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Yli‐Kaakinen, Juha, et al.. (2022). Flexible Fast-Convolution Processing for Cellular Radio Evolution. IEEE Transactions on Communications. 70(11). 7576–7590.
2.
Gökçeli, Selahattin, Toni Levanen, Taneli Riihonen, et al.. (2020). Novel Iterative Clipping and Error Filtering Methods for Efficient PAPR Reduction in 5G and Beyond. IEEE Open Journal of the Communications Society. 2. 48–66. 17 indexed citations
3.
Gökçeli, Selahattin, Toni Levanen, Juha Yli‐Kaakinen, et al.. (2020). SDR Prototype for Clipped and Fast-Convolution Filtered OFDM for 5G New Radio Uplink. IEEE Access. 8. 89946–89963. 11 indexed citations
4.
Yli‐Kaakinen, Juha, et al.. (2020). Generalized Fast-Convolution-Based Filtered-OFDM: Techniques and Application to 5G New Radio. IEEE Transactions on Signal Processing. 68. 1213–1228. 20 indexed citations
5.
Yli‐Kaakinen, Juha, et al.. (2019). Advanced Low-Complexity Multicarrier Schemes Using Fast-Convolution Processing and Circular Convolution Decomposition. IEEE Transactions on Signal Processing. 67(9). 2304–2319. 10 indexed citations
6.
Gökçeli, Selahattin, Toni Levanen, Juha Yli‐Kaakinen, et al.. (2019). Software-Defined Radio Prototype for Fast-Convolution-Based Filtered OFDM in 5G NR. Trepo - Institutional Repository of Tampere University. 235–240. 4 indexed citations
7.
Shao, Kai, Juha Yli‐Kaakinen, Toni Levanen, & Markku Renfors. (2018). Phase-Noise Analysis of Overlapping Filtered Multitone Waveforms in Millimeter-Wave Radio Systems. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 269–273. 1 indexed citations
8.
Renfors, Markku, Juha Yli‐Kaakinen, & Mikko Valkama. (2016). Power Amplifier Effects on Frequency Localized 5G Candidate Waveforms. European Wireless Conference. 1–5. 4 indexed citations
9.
Yli‐Kaakinen, Juha, et al.. (2016). Multicarrier modulation for HF communications. 1–7. 5 indexed citations
10.
Yli‐Kaakinen, Juha & Markku Renfors. (2015). Flexible fast-convolution implementation of single-carrier waveform processing for 5G. 1269–1274. 9 indexed citations
11.
Yli‐Kaakinen, Juha & Markku Renfors. (2015). Optimization of Flexible Filter Banks Based on Fast Convolution. Journal of Signal Processing Systems. 85(1). 101–111. 7 indexed citations
12.
Renfors, Markku & Juha Yli‐Kaakinen. (2014). Channel Equalization in Fast-Convolution Filter Bank based Receivers for Professional Mobile Radio. European Wireless Conference. 1–5. 16 indexed citations
13.
Renfors, Markku & Juha Yli‐Kaakinen. (2013). Timing Offset Compensation in Fast-Convolution Filter Bank Based Waveform Processing. 1–5. 11 indexed citations
14.
Yli‐Kaakinen, Juha & Markku Renfors. (2013). Fast-convolution filter bank approach for non-contiguous spectrum use. Future Network & Mobile Summit. 1–10. 12 indexed citations
15.
Yli‐Kaakinen, Juha & T. Saramäki. (2010). An Efficient Algorithm for the Optimization of FIR Filters Synthesized Using the Multistage Frequency-Response Masking Approach. Circuits Systems and Signal Processing. 30(1). 157–183. 20 indexed citations
16.
Saramäki, T. & Juha Yli‐Kaakinen. (2009). An improved approach for the synthesis of multiplication-free highly-selective FIR half-band decimators and interpolators. 344–351. 2 indexed citations
17.
Yli‐Kaakinen, Juha, et al.. (2006). An Algorithm for the Design of Multiplierless IIR Filters as a Parallel Connection of Two All-Pass Filters. 33. 744–747. 11 indexed citations
18.
Yli‐Kaakinen, Juha & T. Saramäki. (2004). An algorithm for the optimization of adjustable fractional-delay all-pass filters. III–153. 22 indexed citations
19.
Saramäki, T., Juha Yli‐Kaakinen, & Håkan Johansson. (2003). OPTIMIZATION OF FREQUENCY-RESPONSE MASKING BASED FIR FILTERS. Journal of Circuits Systems and Computers. 12(5). 563–591. 23 indexed citations
20.
Yli‐Kaakinen, Juha, et al.. (2003). Digital filter design for a PAL TV modulator. 1. 249–252. 1 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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