Lunyang Liu

679 total citations
20 papers, 533 citations indexed

About

Lunyang Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Lunyang Liu has authored 20 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 5 papers in Materials Chemistry. Recurrent topics in Lunyang Liu's work include Fuel Cells and Related Materials (9 papers), Membrane-based Ion Separation Techniques (5 papers) and Machine Learning in Materials Science (4 papers). Lunyang Liu is often cited by papers focused on Fuel Cells and Related Materials (9 papers), Membrane-based Ion Separation Techniques (5 papers) and Machine Learning in Materials Science (4 papers). Lunyang Liu collaborates with scholars based in China, Netherlands and United Kingdom. Lunyang Liu's co-authors include Yunqi Li, Wenduo Chen, Fengchao Cui, Tingli Liu, Fang Ding, Jifu Zheng, Zhao‐Yan Sun, Qifeng Zhang, Xuepeng Qiu and Xiangling Ji and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and ACS Applied Materials & Interfaces.

In The Last Decade

Lunyang Liu

20 papers receiving 522 citations

Peers

Lunyang Liu

EEE

RESE

Shouwu Gao China

Zhihui Wang China

Yidan Gao China

Dejia Kong China

Tuan Loi Nguyen Vietnam

Peng Cheng China

Wai Kuan Wong Singapore

S. Arunmetha India

Minsu Kim South Korea

Ayman A. AbdelHamid United Arab Emirates

Shouwu Gao China

Lunyang Liu

342 ×1.2

EEE

266 ×1.7

200 ×1.3

136 ×1.4

RESE

76 ×1.1

Citations per year, relative to Lunyang Liu Lunyang Liu (= 1×) peers Shouwu Gao

Countries citing papers authored by Lunyang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Lunyang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lunyang Liu

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

Li, Yikun, Lunyang Liu, Xiaoning Zhao, et al.. (2024). Deep learning-assisted characterization of nanoparticle growth processes: unveiling SAXS structure evolution. Radiation Detection Technology and Methods. 8(4). 1712–1728. 1 indexed citations

Liu, Lunyang, et al.. (2023). Predicting flower induction of litchi (Litchi chinensis Sonn.) with machine learning techniques. Computers and Electronics in Agriculture. 205. 107572–107572. 1 indexed citations

Li, Jingqing, et al.. (2023). Effects of molecular weight on stereocomplex and crystallization of PLLA/PDLA blends. Polymer. 283. 126259–126259. 14 indexed citations

Liu, Lunyang, Yunqi Li, Jifu Zheng, & Hongfei Li. (2023). Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane. Journal of Membrane Science. 693. 122327–122327. 10 indexed citations

Liu, Lunyang, et al.. (2023). PolyNC: a natural and chemical language model for the prediction of unified polymer properties. Chemical Science. 15(2). 534–544. 39 indexed citations

Zhang, Huan, Fang Ding, Tingli Liu, Lunyang Liu, & Yunqi Li. (2021). Additivity of the mechanical properties for acrylonitrile‐butadiene‐styrene resins. Journal of Applied Polymer Science. 139(15). 5 indexed citations

Liu, Lunyang, Tingli Liu, Fang Ding, et al.. (2021). Exploration of the Polarization Curve for Proton-Exchange Membrane Fuel Cells. ACS Applied Materials & Interfaces. 13(49). 58838–58847. 28 indexed citations

Ding, Fang, et al.. (2021). Stress‐strain curves for polyurethane elastomers: A statistical assessment of constitutive models. Journal of Applied Polymer Science. 138(39). 17 indexed citations

Liu, Tingli, Lunyang Liu, Fengchao Cui, et al.. (2020). Predicting the performance of polyvinylidene fluoride, polyethersulfone and polysulfone filtration membranes using machine learning. Journal of Materials Chemistry A. 8(41). 21862–21871. 50 indexed citations

10.

Shi, Ce, Tingli Liu, Wenduo Chen, et al.. (2020). Interaction, structure and tensile property of swollen Nafion® membranes. Polymer. 213. 123224–123224. 25 indexed citations

11.

Liu, Lunyang, et al.. (2019). Rational design of hydrocarbon-based sulfonated copolymers for proton exchange membranes. Journal of Materials Chemistry A. 7(19). 11847–11857. 22 indexed citations

12.

Cui, Fengchao, et al.. (2019). Anomalous Dynamics of Water in Polyamide Matrix. The Journal of Physical Chemistry B. 123(14). 3086–3095. 11 indexed citations

13.

Tang, Haifeng, Fengchao Cui, Lunyang Liu, & Yunqi Li. (2018). Predictive models for tyrosinase inhibitors: Challenges from heterogeneous activity data determined by different experimental protocols. Computational Biology and Chemistry. 73. 79–84. 7 indexed citations

14.

Zhang, Hao, Lunyang Liu, Bo Dong, et al.. (2018). Determining electrospun morphology from the properties of protein–polymer solutions. Soft Matter. 14(18). 3455–3462. 21 indexed citations

15.

Li, Yunqi, Lunyang Liu, Wenduo Chen, & Lijia An. (2017). Materials genome: research progress, challenges and outlook. Scientia Sinica Chimica. 48(3). 243–255. 12 indexed citations

16.

Liu, Lunyang, Wenduo Chen, & Yunqi Li. (2017). A statistical study of proton conduction in Nafion®-based composite membranes: Prediction, filler selection and fabrication methods. Journal of Membrane Science. 549. 393–402. 27 indexed citations

17.

Chen, Wenduo, Fengchao Cui, Lunyang Liu, & Yunqi Li. (2017). Assembled Structures of Perfluorosulfonic Acid Ionomers Investigated by Anisotropic Modeling and Simulations. The Journal of Physical Chemistry B. 121(41). 9718–9724. 17 indexed citations

18.

Chen, Wenduo, You‐Liang Zhu, Fengchao Cui, et al.. (2016). GPU-Accelerated Molecular Dynamics Simulation to Study Liquid Crystal Phase Transition Using Coarse-Grained Gay-Berne Anisotropic Potential. PLoS ONE. 11(3). e0151704–e0151704. 21 indexed citations

19.

Cui, Fengchao, et al.. (2016). Construction of explicit models to correlate the structure and the inhibitory activity of aldose reductase: Flavonoids and sulfonyl‐pyridazinones as inhibitors. Chemical Biology & Drug Design. 89(4). 482–491. 2 indexed citations

20.

Liu, Lunyang, Wenduo Chen, & Yunqi Li. (2016). An overview of the proton conductivity of nafion membranes through a statistical analysis. Journal of Membrane Science. 504. 1–9. 203 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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