Yi-Rong Liu

966 total citations
51 papers, 789 citations indexed

About

Yi-Rong Liu is a scholar working on Atmospheric Science, Global and Planetary Change and Materials Chemistry. According to data from OpenAlex, Yi-Rong Liu has authored 51 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 12 papers in Materials Chemistry. Recurrent topics in Yi-Rong Liu's work include Atmospheric chemistry and aerosols (26 papers), Atmospheric Ozone and Climate (22 papers) and Atmospheric aerosols and clouds (8 papers). Yi-Rong Liu is often cited by papers focused on Atmospheric chemistry and aerosols (26 papers), Atmospheric Ozone and Climate (22 papers) and Atmospheric aerosols and clouds (8 papers). Yi-Rong Liu collaborates with scholars based in China, United States and Slovakia. Yi-Rong Liu's co-authors include Teng Huang, Shuai Jiang, Wei Huang, Hui Wen, Weijun Zhang, Yajuan Feng, Kangming Xu, Zhongquan Wang, Yanbo Gai and Ying‐Cheng Lai and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Scientific Reports.

In The Last Decade

Yi-Rong Liu

48 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi-Rong Liu China 17 554 232 176 125 123 51 789
Jakub Kubečka Denmark 15 540 1.0× 153 0.7× 188 1.1× 112 0.9× 122 1.0× 42 735
Ismaël K. Ortega Finland 15 565 1.0× 244 1.1× 101 0.6× 107 0.9× 85 0.7× 36 739
Nanna Myllys Finland 21 962 1.7× 296 1.3× 227 1.3× 194 1.6× 108 0.9× 42 1.1k
Hui Wen China 17 332 0.6× 131 0.6× 171 1.0× 79 0.6× 137 1.1× 35 614
Roope Halonen Finland 11 570 1.0× 154 0.7× 142 0.8× 80 0.6× 81 0.7× 19 652
N. I. Butkovskaya Russia 20 710 1.3× 140 0.6× 294 1.7× 274 2.2× 125 1.0× 44 922
Jason Herb United States 14 687 1.2× 274 1.2× 152 0.9× 121 1.0× 45 0.4× 20 753
Joseph W. DePalma United States 14 360 0.6× 139 0.6× 109 0.6× 103 0.8× 42 0.3× 15 474
N. Bork Denmark 14 356 0.6× 135 0.6× 110 0.6× 109 0.9× 96 0.8× 25 559

Countries citing papers authored by Yi-Rong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Rong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi-Rong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Rong Liu. A scholar is included among the top collaborators of Yi-Rong 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 Yi-Rong Liu. Yi-Rong Liu 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.
2.
Zhang, Haizhu, Xiao Han, Zhuoting Zhu, et al.. (2025). DCI improves diabetic encephalopathy by modulating the BDNF/NF-κB/GSK-3β pathway. Experimental Neurology. 389. 115236–115236.
3.
Liu, Yi-Rong & Yan Jiang. (2024). Predicting Composition Evolution for a Sulfuric Acid-Dimethylamine System from Monomer to Nanoparticle Using Machine Learning. The Journal of Physical Chemistry A. 129(1). 222–231. 1 indexed citations
4.
Jiang, Yan & Yi-Rong Liu. (2023). New Multicomponent Optimization Scheme for Equiatomic Vanadium–Titanium Nanoparticle Study. Journal of Chemical Theory and Computation. 19(23). 8998–9007. 1 indexed citations
5.
Jiang, Shuai, et al.. (2022). Ion formation mechanism of cortisone molecules and clusters in charged nanodroplets. Physical Chemistry Chemical Physics. 24(45). 28047–28054. 1 indexed citations
6.
Liu, Ying, Ying Liu, Yi-Rong Liu, et al.. (2021). Valine involved sulfuric acid-dimethylamine ternary homogeneous nucleation and its atmospheric implications. Atmospheric Environment. 254. 118373–118373. 5 indexed citations
7.
Wang, Zhongquan, Yi-Rong Liu, Chunyu Wang, et al.. (2021). The nucleation mechanism of succinic acid involved sulfuric acid - Dimethylamine in new particle formation. Atmospheric Environment. 263. 118683–118683. 11 indexed citations
8.
Jiang, Shuai, Yi-Rong Liu, Yajuan Feng, et al.. (2020). Formation of atmospheric molecular clusters of methanesulfonic acid–Diethylamine complex and its atmospheric significance. Atmospheric Environment. 226. 117404–117404. 26 indexed citations
9.
Feng, Yajuan, et al.. (2019). Enhancement of Atmospheric Nucleation by Highly Oxygenated Organic Molecules: A Density Functional Theory Study. The Journal of Physical Chemistry A. 123(25). 5367–5377. 12 indexed citations
10.
Wang, Chunyu, Shuai Jiang, Zhongquan Wang, et al.. (2019). Can formaldehyde contribute to atmospheric new particle formation from sulfuric acid and water?. Atmospheric Environment. 201. 323–333. 13 indexed citations
11.
Wang, Chunyu, Shuai Jiang, Yi-Rong Liu, et al.. (2018). Synergistic Effect of Ammonia and Methylamine on Nucleation in the Earth’s Atmosphere. A Theoretical Study. The Journal of Physical Chemistry A. 122(13). 3470–3479. 38 indexed citations
12.
Jiang, Shuai, Yi-Rong Liu, Yajuan Feng, et al.. (2018). Hydration of the methanesulfonate–ammonia/amine complex and its atmospheric implications. RSC Advances. 8(6). 3250–3263. 20 indexed citations
13.
Wen, Hui, Chunyu Wang, Zhongquan Wang, et al.. (2018). Formation of atmospheric molecular clusters consisting of methanesulfonic acid and sulfuric acid: Insights from flow tube experiments and cluster dynamics simulations. Atmospheric Environment. 199. 380–390. 14 indexed citations
14.
Chen, Jiao, Shuai Jiang, Yi-Rong Liu, et al.. (2017). Interaction of oxalic acid with dimethylamine and its atmospheric implications. RSC Advances. 7(11). 6374–6388. 50 indexed citations
15.
Ma, Yan, Jiao Chen, Shuai Jiang, et al.. (2016). Characterization of the nucleation precursor (H2SO4–(CH3)2NH) complex: intra-cluster interactions and atmospheric relevance. RSC Advances. 6(7). 5824–5836. 9 indexed citations
16.
Liu, Yi-Rong, Teng Huang, Yanbo Gai, et al.. (2015). Three-Dimensional Assignment of the Structures of Atomic Clusters: an Example of Au8M (M=Si, Ge, Sn) Anion Clusters. Scientific Reports. 5(1). 17738–17738. 8 indexed citations
17.
Lin, Xiaoxiao, Yi-Rong Liu, Teng Huang, et al.. (2014). Theoretical studies of the hydration reactions of stabilized Criegee intermediates from the ozonolysis of β-pinene. RSC Advances. 4(54). 28490–28490. 22 indexed citations
18.
Xu, Kangming, Teng Huang, Hui Wen, et al.. (2013). A density functional study of phosphorus-doped gold clusters: AunP− (n = 1–8). RSC Advances. 3(46). 24492–24492. 25 indexed citations
19.
Liu, Yi-Rong, Hui Wen, Teng Huang, et al.. (2013). Structural Exploration of Water, Nitrate/Water, and Oxalate/Water Clusters with Basin-Hopping Method Using a Compressed Sampling Technique. The Journal of Physical Chemistry A. 118(2). 508–516. 48 indexed citations
20.
Lai, Ying‐Cheng & Yi-Rong Liu. (2005). Noise Promotes Species Diversity in Nature. Physical Review Letters. 94(3). 38102–38102. 34 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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