Matthias Chung

681 total citations
37 papers, 413 citations indexed

About

Matthias Chung is a scholar working on Computational Mechanics, Mathematical Physics and Molecular Biology. According to data from OpenAlex, Matthias Chung has authored 37 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Mathematical Physics and 4 papers in Molecular Biology. Recurrent topics in Matthias Chung's work include Sparse and Compressive Sensing Techniques (11 papers), Numerical methods in inverse problems (7 papers) and Effects of Environmental Stressors on Livestock (3 papers). Matthias Chung is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Numerical methods in inverse problems (7 papers) and Effects of Environmental Stressors on Livestock (3 papers). Matthias Chung collaborates with scholars based in United States, Germany and United Kingdom. Matthias Chung's co-authors include Eldad Haber, Julianne Chung, Felix J. Herrmann, Dianne P. O’Leary, Qi Long, Brent A. Johnson, Kerstin M. Oltmanns, Jactone Arogo Ogejo, Thomas E. Cecere and S. Ansar Ahmed and has published in prestigious journals such as Journal of the American Statistical Association, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Matthias Chung

35 papers receiving 390 citations

Peers

Matthias Chung

GEOPH

Jun Xian China

Jianfei Huang China

Liying Liu China

Barry Lee United States

James McCoy Australia

Javier Bernal United States

Athena Makroglou United Kingdom

Liyan Ma China

Laurent Demaret Germany

Costanza Conti Italy

Jun Xian China

Matthias Chung

24 ×0.3

90 ×1.1

67 ×1.4

20 ×0.5

GEOPH

10 ×0.2

Citations per year, relative to Matthias Chung Matthias Chung (= 1×) peers Jun Xian

Countries citing papers authored by Matthias Chung

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Chung

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

All Works

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20 of 20 papers shown

Chung, Matthias, Richard Archibald, Paul J. Atzberger, & J. Solomon. (2025). Sparse L^1-Autoencoders for Scientific Data Compression.

Chung, Matthias & Rosemary A. Renaut. (2023). A variable projection method for large-scale inverse problems with ℓ1 regularization. Applied Numerical Mathematics. 192. 297–318. 1 indexed citations

Chung, Matthias, et al.. (2023). Application of a mathematical framework for the optimization of precision-fed dairy cattle diets. animal. 17. 101001–101001. 6 indexed citations

Ellington, Laura E., Elizabeth Maleche‐Obimbo, Michael Rosenfeld, et al.. (2023). Asthma Characteristics and Allergic Sensitization Among Adolescents With HIV and HIV-uninfected Adolescents in Nairobi, Kenya. A4635–A4635. 1 indexed citations

Chung, Matthias, et al.. (2023). Physics-informed neural networks for predicting liquid dairy manure temperature during storage. Neural Computing and Applications. 35(16). 12159–12174. 5 indexed citations

Chung, Julianne, et al.. (2022). Efficient learning methods for large-scale optimal inversion design. Numerical Algebra Control and Optimization. 14(1). 137–159. 2 indexed citations

Chung, Julianne, et al.. (2022). slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks. SIAM Journal on Scientific Computing. 44(4). A2322–A2348. 4 indexed citations

Chung, Julianne, et al.. (2021). Learning regularization parameters of inverse problems via deep neural networks:Paper. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 29 indexed citations

Chung, Matthias, et al.. (2019). Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. SIAM Journal on Scientific Computing. 41(4). A2212–A2238. 10 indexed citations

10.

Ruthotto, Lars, Julianne Chung, & Matthias Chung. (2018). Optimal Experimental Design for Inverse Problems with State Constraints. SIAM Journal on Scientific Computing. 40(4). B1080–B1100. 10 indexed citations

11.

Chung, Matthias, et al.. (2017). Identification of microbiota dynamics using robust parameter estimation methods. Mathematical Biosciences. 294. 71–84. 9 indexed citations

12.

Mu, Qinghui, Jay Kirby, Thomas E. Cecere, et al.. (2017). Antibiotics ameliorate lupus-like symptoms in mice. Scientific Reports. 7(1). 13675–13675. 88 indexed citations

13.

Chung, Julianne, Matthias Chung, & Dianne P. O’Leary. (2014). Optimal regularized low rank inverse approximation. Linear Algebra and its Applications. 468. 260–269. 8 indexed citations

14.

Oltmanns, Kerstin M., et al.. (2013). Linking neuronal brain activity to the glucose metabolism. Theoretical Biology and Medical Modelling. 10(1). 50–50. 17 indexed citations

15.

Casey, Michael, et al.. (2013). Coherent Pre-Distortion of Low-Frequency PLC Carriers. 29–34. 1 indexed citations

16.

Chung, Matthias, Qi Long, & Brent A. Johnson. (2012). A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems. Statistics and Computing. 23(5). 601–614. 16 indexed citations

17.

Chung, Matthias, et al.. (2011). Mathematical modeling of the biphasic dopaminergic response to glucose. Journal of Biomedical Science and Engineering. 4(2). 136–145. 1 indexed citations

18.

Chung, Matthias, et al.. (2011). Robust modeling of appetite regulation. Journal of Theoretical Biology. 291. 65–75. 3 indexed citations

19.

Johnson, Brent A., Qi Long, & Matthias Chung. (2011). On Path Restoration for Censored Outcomes. Biometrics. 67(4). 1379–1388. 6 indexed citations

20.

Langemann, Dirk, et al.. (2010). Compact energy metabolism model: Brain controlled energy supply. Journal of Theoretical Biology. 264(4). 1214–1224. 7 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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