Riku Klén

2.5k total citations · 1 hit paper
95 papers, 1.1k citations indexed

About

Riku Klén is a scholar working on Radiology, Nuclear Medicine and Imaging, Applied Mathematics and Geometry and Topology. According to data from OpenAlex, Riku Klén has authored 95 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Applied Mathematics and 22 papers in Geometry and Topology. Recurrent topics in Riku Klén's work include Medical Imaging Techniques and Applications (29 papers), Analytic and geometric function theory (21 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Riku Klén is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Analytic and geometric function theory (21 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Riku Klén collaborates with scholars based in Finland, Netherlands and United States. Riku Klén's co-authors include Oona Rainio, Jarmo Teuho, Матти Вуоринен, Parisa Hariri, Mikko Visuri, Petteri Harjulehto, Peter Hästö, Laura L. Elo, Juhani Knuuti and Mika Teräs and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Riku Klén

84 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluation metrics and statistical tests for machine learning

2024 395 citations Oona Rainio, Jarmo Teuho et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Riku Klén Finland	16	322	230	222	118	98	95	1.1k
Laura M. Sangalli Italy	20	67 0.2×	67 0.3×	83 0.4×	242 2.1×	47 0.5×	78	1.3k
Francesco Rossi Italy	20	298 0.9×	35 0.2×	125 0.6×	66 0.6×	65 0.7×	100	1.3k
Lothar Heinrich Germany	20	433 1.3×	12 0.1×	150 0.7×	145 1.2×	60 0.6×	91	1.2k
Douglas G. Simpson United States	24	57 0.2×	156 0.7×	18 0.1×	212 1.8×	326 3.3×	75	1.9k
Wenrui Hao United States	24	37 0.1×	44 0.2×	63 0.3×	56 0.5×	74 0.8×	100	1.8k
David Carlson United States	24	154 0.5×	38 0.2×	190 0.9×	39 0.3×	19 0.2×	122	1.7k
Oona Rainio Finland	8	36 0.1×	86 0.4×	40 0.2×	110 0.9×	42 0.4×	40	548
François Lauze Denmark	15	14 0.0×	264 1.1×	72 0.3×	198 1.7×	143 1.5×	55	989
Rachid Harba France	19	14 0.0×	284 1.2×	68 0.3×	125 1.1×	213 2.2×	85	1.4k
Matthew Thorpe United Kingdom	8	45 0.1×	380 1.7×	9 0.0×	338 2.9×	79 0.8×	18	921

Countries citing papers authored by Riku Klén

Since Specialization

Citations

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

Fields of papers citing papers by Riku Klén

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riku Klén

This figure shows the co-authorship network connecting the top 25 collaborators of Riku Klén. A scholar is included among the top collaborators of Riku Klén 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 Riku Klén. Riku Klén is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Laishuan, Abdülhamit Subaşı, Chen Chen, et al.. (2025). Smart IoT-Based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multiview Fusion, and Rotational Ensemble Stacking. IEEE Internet of Things Journal. 12(22). 46018–46037.

Rainio, Oona, et al.. (2025). Pulmonary blood flow quantification in humans from 15O-water PET. Annals of Nuclear Medicine. 39(6). 600–607. 1 indexed citations

Rainio, Oona & Riku Klén. (2025). Modified Dice Coefficients for Evaluation of Tumor Segmentation from PET Images: A Proof-of-Concept Study. Journal of Imaging Informatics in Medicine. 39(1). 785–793.

Rudroff, Thorsten, Oona Rainio, & Riku Klén. (2024). Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective. Brain Sciences. 14(8). 831–831. 5 indexed citations

Rudroff, Thorsten, Riku Klén, Oona Rainio, & Jetro J. Tuulari. (2024). The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue. Brain Sciences. 14(12). 1209–1209. 3 indexed citations

Rainio, Oona, et al.. (2024). One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 1 indexed citations

Rainio, Oona, et al.. (2024). Comparison of thresholds for a convolutional neural network classifying medical images. International Journal of Data Science and Analytics. 20(3). 2093–2099. 3 indexed citations

Teuho, Jarmo, Jussi Schultz, Riku Klén, et al.. (2024). Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data. Journal of Nuclear Cardiology. 38. 101889–101889. 3 indexed citations

Rainio, Oona, et al.. (2023). Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning. Journal of Medical and Biological Engineering. 43(5). 532–540. 10 indexed citations

10.

Rainio, Oona, Otto Ettala, Marko Seppänen, et al.. (2023). New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images. Research on Biomedical Engineering. 39(4). 905–913. 6 indexed citations

11.

Rainio, Oona, et al.. (2023). Classification of head and neck cancer from PET images using convolutional neural networks. Scientific Reports. 13(1). 10528–10528. 14 indexed citations

12.

Nammas, Wail, Teemu Maaniitty, Riku Klén, et al.. (2023). Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men. European Heart Journal - Cardiovascular Imaging. 24(9). 1201–1209. 1 indexed citations

13.

Laurila, Sanna, Eleni Rebelos, Minna Lahesmaa, et al.. (2021). Novel effects of the gastrointestinal hormone secretin on cardiac metabolism and renal function. American Journal of Physiology-Endocrinology and Metabolism. 322(1). E54–E62. 5 indexed citations

14.

Klén, Riku, Miikka‐Juhani Honka, Jarna C. Hannukainen, et al.. (2020). Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling. Journal of the Endocrine Society. 4(4). bvaa026–bvaa026. 5 indexed citations

15.

Jaakkola, Maria K., Aidan McGlinchey, Riku Klén, & Laura L. Elo. (2018). PASI: A novel pathway method to identify delicate group effects. PLoS ONE. 13(7). e0199991–e0199991. 3 indexed citations

16.

Klén, Riku, Barkat Ali Bhayo, & József Sándor. (2017). New trigonometric and hyperbolic inequalities. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 17 indexed citations

17.

Klén, Riku, et al.. (2017). On the smoothness of quasihyperbolic balls. Annales Academiae Scientiarum Fennicae Mathematica. 42(1). 439–452. 1 indexed citations

18.

Klén, Riku, et al.. (2017). Teichmüller's problem in space. Journal of Mathematical Analysis and Applications. 455(2). 1297–1316. 3 indexed citations

19.

Klén, Riku, et al.. (2010). Quasihyperbolic Geometry in Euclidean and Banach Spaces. arXiv (Cornell University). 18. 261–278. 6 indexed citations

20.

Klén, Riku, et al.. (2008). Distortion of normalized quasiconformal mappings. arXiv (Cornell University). 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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