Kuang Yu

3.1k total citations · 2 hit papers
77 papers, 2.4k citations indexed

About

Kuang Yu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kuang Yu has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 23 papers in Electrical and Electronic Engineering and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kuang Yu's work include Machine Learning in Materials Science (13 papers), Advanced Battery Materials and Technologies (10 papers) and Metal-Organic Frameworks: Synthesis and Applications (10 papers). Kuang Yu is often cited by papers focused on Machine Learning in Materials Science (13 papers), Advanced Battery Materials and Technologies (10 papers) and Metal-Organic Frameworks: Synthesis and Applications (10 papers). Kuang Yu collaborates with scholars based in China, United States and Austria. Kuang Yu's co-authors include Emily A. Carter, J. R. Schmidt, Jesse G. McDaniel, Guangmin Zhou, Hui–Ming Cheng, Jiabin Ma, Alexander J. Tkalych, Ripeng Luo, Chuang Li and Zhihong Piao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Advanced Materials.

In The Last Decade

Kuang Yu

70 papers receiving 2.4k citations

Hit Papers

Constructing a Stable Interface Layer by Tailoring Solvat... 2021 2026 2022 2024 2021 2023 50 100 150 200 250

Peers

Kuang Yu
You‐Jin Lee South Korea
Graham A. Rance United Kingdom
Dong Zheng United States
Xin Jin China
Hyunjung Lee South Korea
Kun Han China
Zhou Zhou China
Xuan Luo China
Tao Bo China
You‐Jin Lee South Korea
Kuang Yu
Citations per year, relative to Kuang Yu Kuang Yu (= 1×) peers You‐Jin Lee

Countries citing papers authored by Kuang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kuang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang Yu. A scholar is included among the top collaborators of Kuang Yu 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 Kuang Yu. Kuang Yu 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.
Wang, Yuanqing, Michael S. Chen, Marcus Wieder, et al.. (2025). On the design space between molecular mechanics and machine learning force fields. Applied Physics Reviews. 12(2). 10 indexed citations
2.
Hu, Taiping, Haichao Huang, Guobing Zhou, et al.. (2025). Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework. Nature Communications. 16(1). 7379–7379.
3.
Cao, Yue, Jinglai Duan, Rui Yin, et al.. (2025). LiNO3 Nanoparticle Enabled Solvent Confinement and a Favorable Li+ Solvation Environment in Ester Electrolytes for Anode-Free Lithium Metal Batteries. ACS Nano. 19(39). 34745–34756. 1 indexed citations
4.
Liu, Minsu, Yicong Zhou, Ke Zhan, et al.. (2025). Superacid assisted high-throughput production and solution-processing of pristine two-dimensional materials. Materials Today. 86. 228–237.
5.
Si, Zhichun, Kuang Yu, Lin Gan, et al.. (2025). Monolithic photocatalyst for overall water splitting based on gaseous water harvest. Journal of Colloid and Interface Science. 700(Pt 3). 138579–138579.
6.
Zhang, Luyan, et al.. (2025). Screening and Design of Aqueous Zinc Battery Electrolytes Based on the Multimodal Optimization of Molecular Simulation. The Journal of Physical Chemistry Letters. 16(13). 3326–3335. 3 indexed citations
7.
Chen, Yilin, Nikolay A. Bogdanov, Kuang Yu, et al.. (2025). Towards an accurate electronic structure of single photon emitters in hexagonal boron nitride. Physical Review Research. 7(1).
8.
Li, Xin, et al.. (2025). Enhancing Thermal Conductivity Computation of Polymers via Machine Learning Techniques. The Journal of Physical Chemistry B. 129(33). 8593–8602.
9.
Wei, Mei, et al.. (2024). Exploring the mechanism of plastic deformation in BCC Mg-Li-Al alloys via Machine learning Molecular dynamics simulations. Computational Materials Science. 246. 113396–113396. 3 indexed citations
10.
Lu, Gongxun, Xinru Wu, Miaofei Huang, et al.. (2024). A self-adsorption molecule passivated interface enables efficient and stable lithium metal batteries. Energy & Environmental Science. 17(24). 9555–9565. 19 indexed citations
11.
Xia, Heyi, Ruikang K. Wang, Xiao Wang, et al.. (2024). Electricity generated by upstream proton diffusion in two-dimensional nanochannels. Nature Nanotechnology. 19(9). 1316–1322. 42 indexed citations
12.
Cheng, Zheng, Hangrui Bi, Siyuan Liu, et al.. (2024). Developing a Differentiable Long-Range Force Field for Proteins with E(3) Neural Network-Predicted Asymptotic Parameters. Journal of Chemical Theory and Computation. 20(13). 5598–5608. 5 indexed citations
13.
Zhong, Geng, Jiabin Ma, Jie Biao, et al.. (2024). Dimethyl Sulfide Electrolyte Additive Enabled High-Voltage Lithium-Ion Battery. ACS Energy Letters. 9(6). 2572–2581. 39 indexed citations
14.
Ma, Jiabin, et al.. (2024). Design principle of single-atom catalysts for sulfur reduction reaction–interplay between coordination patterns and transition metals. Science China Materials. 67(10). 3215–3224. 1 indexed citations
15.
Mei, Wei, et al.. (2023). Predicting elastic properties of refractory high-entropy alloys via machine-learning approach. Computational Materials Science. 226. 112249–112249. 15 indexed citations
16.
Piao, Zhihong, Peitao Xiao, Ripeng Luo, et al.. (2021). Constructing a Stable Interface Layer by Tailoring Solvation Chemistry in Carbonate Electrolytes for High‐Performance Lithium‐Metal Batteries. Advanced Materials. 34(8). e2108400–e2108400. 281 indexed citations breakdown →
17.
Ding, Wenhui, Xianjun Tan, Guanhan Chen, et al.. (2021). Molecular-Level Insights on the Facet-Dependent Degradation of Perfluorooctanoic Acid. ACS Applied Materials & Interfaces. 13(35). 41584–41592. 16 indexed citations
18.
Yu, Kuang, et al.. (2019). Effects of Seasonal Variation on the Alkaloids of Different Ecotypes of Epichloë Endophyte-Festuca sinensis Associations. Frontiers in Microbiology. 10. 1695–1695. 18 indexed citations
19.
Wang, Jianjun, et al.. (2017). Effect of an Epichloë endophyte on adaptability to water stress in Festuca sinensis. Fungal ecology. 30. 39–47. 35 indexed citations
20.
Nan, Zhibiao, Qiu‐Yan Song, Chao Xia, et al.. (2016). Advances in Research on Epichloë endophytes in Chinese Native Grasses. Frontiers in Microbiology. 7. 1399–1399. 24 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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