Y. Hiltunen

879 total citations
34 papers, 683 citations indexed

About

Y. Hiltunen is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Y. Hiltunen has authored 34 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Spectroscopy and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Y. Hiltunen's work include Metabolomics and Mass Spectrometry Studies (9 papers), Molecular spectroscopy and chirality (7 papers) and Advanced MRI Techniques and Applications (5 papers). Y. Hiltunen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Molecular spectroscopy and chirality (7 papers) and Advanced MRI Techniques and Applications (5 papers). Y. Hiltunen collaborates with scholars based in Finland, United Kingdom and Switzerland. Y. Hiltunen's co-authors include Mika Ala‐Korpela, Mika Liukkonen, Jukka Jokisaari, Juhani Lounila, Jimmy D. Bell, Mikko Heikkinen, Sinikka Eskelinen, Risto A. Kauppinen, Y. Antero Kesäniemi and Markku J. Savolainen and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Chemical Physics Letters.

In The Last Decade

Y. Hiltunen

32 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Hiltunen Finland 19 173 126 112 85 74 34 683
Yrjö Hiltunen Finland 18 103 0.6× 220 1.7× 207 1.8× 55 0.6× 123 1.7× 69 968
Thomas M. Hancewicz United States 14 60 0.3× 110 0.9× 85 0.8× 61 0.7× 19 0.3× 23 713
Sukhjeet Singh India 20 97 0.6× 24 0.2× 37 0.3× 175 2.1× 490 6.6× 79 1.3k
Jeffrey J. Kelly United States 13 89 0.5× 87 0.7× 59 0.5× 6 0.1× 36 0.5× 35 817
Qi Guo China 17 135 0.8× 56 0.4× 20 0.2× 27 0.3× 7 0.1× 242 1.4k
Fabiana Zama Italy 11 27 0.2× 32 0.3× 74 0.7× 41 0.5× 19 0.3× 52 538
Hailin Shen China 22 341 2.0× 378 3.0× 95 0.8× 15 0.2× 30 0.4× 67 1.3k
Bing Guan China 19 237 1.4× 51 0.4× 54 0.5× 3 0.0× 41 0.6× 58 1.4k
Rodrigo Bagueira de Vasconcellos Azeredo Brazil 18 63 0.4× 177 1.4× 183 1.6× 376 4.4× 11 0.1× 42 671
Moheb Nasr United States 16 326 1.9× 127 1.0× 24 0.2× 4 0.0× 68 0.9× 30 898

Countries citing papers authored by Y. Hiltunen

Since Specialization
Citations

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

Fields of papers citing papers by Y. Hiltunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Hiltunen

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Hiltunen. A scholar is included among the top collaborators of Y. Hiltunen 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 Y. Hiltunen. Y. Hiltunen 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.
Hiltunen, Y., et al.. (2017). Determination of Carbon Chain Lengths of Fatty Acid Mixtures by Time Domain NMR. Applied Magnetic Resonance. 49(2). 185–193. 19 indexed citations
2.
Liukkonen, Mika, et al.. (2013). Cluster analysis by self-organizing maps: An application to the modelling of water quality in a treatment process. Applied Soft Computing. 13(7). 3191–3196. 34 indexed citations
3.
Liukkonen, Mika, et al.. (2010). Artificial neural networks for analysis of process states in fluidized bed combustion. Energy. 36(1). 339–347. 61 indexed citations
4.
Liukkonen, Mika, et al.. (2009). Modeling of Soldering Quality by Using Artificial Neural Networks. IEEE Transactions on Electronics Packaging Manufacturing. 32(2). 89–96. 22 indexed citations
5.
Liukkonen, Mika, et al.. (2008). Application of self-organizing maps in analysis of wave soldering process. Expert Systems with Applications. 36(3). 4604–4609. 30 indexed citations
6.
Childs, Charmaine, et al.. (2005). Regional brain temperature mapping using proton magnetic resonance spectroscopic imaging to assess brain-body temperature gradient in healthy subjects.. Magnetic Resonance in Medicine. 2 indexed citations
7.
Pulkkinen, Juha T., et al.. (2005). Independent component analysis to proton spectroscopic imaging data of human brain tumours. European Journal of Radiology. 56(2). 160–164. 20 indexed citations
8.
Laakso, Mikko P., Y. Hiltunen, Miia Kivipelto, et al.. (2003). Decreased brain creatine levels in elderly apolipoprotein E ?4 carriers. Journal of Neural Transmission. 110(3). 267–275. 22 indexed citations
9.
Haydon, Geoffrey, R. Jalan, Mika Ala‐Korpela, et al.. (1998). Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors. Journal of Viral Hepatitis. 5(4). 255–264. 34 indexed citations
11.
Ala‐Korpela, Mika, K. Kumar Changani, Y. Hiltunen, et al.. (1997). Assessment of quantitative artificial neural network analysis in a metabolically dynamic ex vivo31p NMR pig liver study. Magnetic Resonance in Medicine. 38(5). 840–844. 9 indexed citations
12.
Ala‐Korpela, Mika, Y. Hiltunen, & Jimmy D. Bell. (1996). Artificial neural network analysis of 1H NMR spectroscopic data from human plasma. WestminsterResearch (University of Westminster). 1 indexed citations
13.
Ala‐Korpela, Mika, Y. Hiltunen, & Jimmy D. Bell. (1995). Quantification of biomedical NMR data using artificial neural network analysis: Lipoprotein lipid profiles from 1H NMR data of human plasma. NMR in Biomedicine. 8(6). 235–244. 38 indexed citations
14.
Hiltunen, Y., et al.. (1995). Lipoprotein-Lipid Quantification by Neural-Network Analysis of 1H-NMR Data from Human Blood Plasma. Journal of Magnetic Resonance Series B. 106(2). 191–194. 34 indexed citations
15.
Ala‐Korpela, Mika, Y. Hiltunen, Jukka Jokisaari, et al.. (1993). A comparative study of 1H NMR lineshape fitting analyses and biochemical lipid analyses of the lipoprotein fractions VLDL, LDL and HDL, and total human blood plasm. NMR in Biomedicine. 6(3). 225–233. 22 indexed citations
16.
Hiltunen, Y., et al.. (1992). Proton nuclear magnetic resonance lineshape studies on human blood plasma lipids from newborn infants, healthy adults, and adults with tumors. Magnetic Resonance in Medicine. 26(1). 89–99. 11 indexed citations
17.
Eskelinen, Sinikka, et al.. (1989). 1HNMR studies on human plasma lipids from newborn infants, healthy adults, and adults with tumors. Magnetic Resonance in Medicine. 9(1). 35–38. 4 indexed citations
18.
Hiltunen, Y., et al.. (1989). Anisotropy of the proton and carbon-13 chemical shifts and of the carbon-13-nitrogen-14 spin-spin couplings of methyl isocyanide as determined by NMR in nematic mesogens. Journal of the American Chemical Society. 111(9). 3217–3220. 10 indexed citations
19.
Hiltunen, Y., et al.. (1988). Dimethylmercury in mixtures of thermotropic nematogens. Liquid Crystals. 3(6-7). 737–744. 4 indexed citations
20.
Lounila, Juhani, Patrick Diehl, Y. Hiltunen, & Jukka Jokisaari. (1985). An analysis of the NMR data for methyl iodide and methyl fluoride in liquid-crystal solvents allowing for the correlation between vibration and rotation. Journal of Magnetic Resonance (1969). 61(2). 272–283. 21 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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