Yuning Liu

704 total citations
30 papers, 413 citations indexed

About

Yuning Liu is a scholar working on Applied Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuning Liu has authored 30 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Applied Mathematics, 6 papers in Computational Mechanics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuning Liu's work include Navier-Stokes equation solutions (7 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Yuning Liu is often cited by papers focused on Navier-Stokes equation solutions (7 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Yuning Liu collaborates with scholars based in China, Germany and United States. Yuning Liu's co-authors include Chendong Wang, Chao Chen, Helmut Abels, Takéo Takahashi, Marius Tucsnak, Georg Dolzmann, Oleg Gusikhin, Siyuan Fan, Wei Wang and Junliang Wang and has published in prestigious journals such as Energy and Buildings, Agriculture Ecosystems & Environment and Quaternary Science Reviews.

In The Last Decade

Yuning Liu

26 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuning Liu China	9	163	90	69	67	65	30	413
Mohamed Selmi Tunisia	8	124 0.8×	108 1.2×	10 0.1×	20 0.3×	29 0.4×	35	376
Marco Veneroni Italy	12	21 0.1×	13 0.1×	25 0.4×	90 1.3×	44 0.7×	24	667
Rashid Ali China	18	220 1.3×	26 0.3×	9 0.1×	103 1.5×	18 0.3×	70	771
Georg P. Engel Austria	15	125 0.8×	63 0.7×	67 1.0×	21 0.3×	2 0.0×	24	784
Stefan Körkel Germany	11	50 0.3×	18 0.2×	13 0.2×	130 1.9×	6 0.1×	16	527
Jiyong Li China	13	40 0.2×	154 1.7×	2 0.0×	93 1.4×	69 1.1×	63	644
Muhammad Mujtaba Shaikh Pakistan	11	32 0.2×	17 0.2×	10 0.1×	48 0.7×	34 0.5×	42	340
Fredrik Magnusson Sweden	11	57 0.3×	86 1.0×	196 2.8×	67 1.0×	7 0.1×	24	446
Gerald Recktenwald United States	9	60 0.4×	51 0.6×	34 0.5×	7 0.1×	3 0.0×	32	360

Countries citing papers authored by Yuning Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yuning Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuning Liu. A scholar is included among the top collaborators of Yuning Liu 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 Yuning Liu. Yuning Liu 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

Liu, Yuning, et al.. (2025). Livestock grazing increases soil bacterial alpha-diversity and reduces microbial network complexity in a typical steppe. Agriculture Ecosystems & Environment. 392. 109753–109753. 1 indexed citations

Wang, Gong, et al.. (2024). A spatial–temporal data-driven deep learning framework for enhancing ultra-short-term prediction of distributed photovoltaic power generation. International Journal of Electrical Power & Energy Systems. 160. 110125–110125. 5 indexed citations

Xu, Chao, Wei Hu, Peng Ren, et al.. (2024). On the Nearshore Significant Wave Height Inversion from Video Images Based on Deep Learning. Journal of Marine Science and Engineering. 12(11). 2003–2003. 1 indexed citations

Guo, Qiang, et al.. (2024). A new non-linearity correction method for the spectrum from the Geostationary Inferometric Infrared Sounder on board Fengyun-4 satellites and its preliminary assessments. Atmospheric measurement techniques. 17(15). 4613–4627.

Liu, Yuning & Junliang Wang. (2024). Analysis of Financial Market using Generative Artificial Intelligence. Academic Journal of Science and Technology. 11(1). 21–25. 4 indexed citations

Li, Ang, et al.. (2024). AI Face Recognition and Processing Technology Based on GPU Computing. 4(5). 9–16. 7 indexed citations

Lu, Cong, et al.. (2024). ENSO-driven hydroclimate changes in central Tibetan Plateau since middle Holocene: Evidence from Zhari Namco’s lake sediments. Quaternary Science Reviews. 330. 108593–108593. 4 indexed citations

Wang, Zun, et al.. (2023). A robust spatial-temporal prediction model for photovoltaic power generation based on deep learning. Computers & Electrical Engineering. 110. 108784–108784. 13 indexed citations

Chen, Tao, et al.. (2023). A novel deinterleaving method for radar pulse trains using pulse descriptor word dot matrix images and cascade‐recurrent loop network. IET Radar Sonar & Navigation. 17(11). 1626–1638. 5 indexed citations

10.

Liu, Yuning, et al.. (2021). Current Status and Application Analysis of Graph Database Technology. 735–744. 2 indexed citations

11.

Liu, Yuning, et al.. (2020). How US Cities and Counties Are Getting Renewable Energy. 1 indexed citations

12.

Liu, Yuning, Hao Wu, & Xiang Xu. (2019). Global well-posedness of the two dimensional Beris–Edwards system with general Laudau–de Gennes free energy. Journal of Differential Equations. 267(12). 6958–7001. 2 indexed citations

13.

Abels, Helmut & Yuning Liu. (2018). Sharp Interface Limit for a Stokes/Allen–Cahn System. Archive for Rational Mechanics and Analysis. 229(1). 417–502. 19 indexed citations

14.

Liu, Yuning & Wei Wang. (2016). Well-posedness of initial boundary value problem for a Navier-Stokes/$Q$-tensor coupled system with anisotropic elasticity energy. arXiv (Cornell University). 1 indexed citations

15.

Abels, Helmut, Georg Dolzmann, & Yuning Liu. (2014). Well-Posedness of a Fully Coupled Navier--Stokes/Q-tensor System with Inhomogeneous Boundary Data. SIAM Journal on Mathematical Analysis. 46(4). 3050–3077. 37 indexed citations

16.

Liu, Yuning & Takéo Takahashi. (2013). Existence of global weak solutions for a phase–field model of a vesicle moving into a viscous incompressible fluid. Mathematical Methods in the Applied Sciences. 37(10). 1507–1526. 2 indexed citations

17.

Liu, Yuning. (2013). Some Sufficient Conditions for the Controllability of Wave Equations with Variable Coefficients. Acta Applicandae Mathematicae. 128(1). 181–191. 8 indexed citations

18.

Liu, Yuning, Takéo Takahashi, & Marius Tucsnak. (2012). Single input controllability of a simplified fluid-structure interaction model. ESAIM Control Optimisation and Calculus of Variations. 19(1). 20–42. 51 indexed citations

19.

Chen, Chao, et al.. (2007). A new kind of phase change material (PCM) for energy-storing wallboard. Energy and Buildings. 40(5). 882–890. 169 indexed citations

20.

Liu, Yuning. (1995). Thermal analysis of multiple beam laser welding.. Deep Blue (University of Michigan). 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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