Musen Zhou

935 total citations
22 papers, 737 citations indexed

About

Musen Zhou is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Musen Zhou has authored 22 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 10 papers in Inorganic Chemistry and 5 papers in Mechanical Engineering. Recurrent topics in Musen Zhou's work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Machine Learning in Materials Science (4 papers) and Membrane Separation and Gas Transport (4 papers). Musen Zhou is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (10 papers), Machine Learning in Materials Science (4 papers) and Membrane Separation and Gas Transport (4 papers). Musen Zhou collaborates with scholars based in United States, China and United Kingdom. Musen Zhou's co-authors include Jianzhong Wu, Anthony Vassallo, Yan Qiao, Yiyang Lin, Wenjing Mu, Sheng Dai, Jian Wu, Zhen Ji, Alejandro Gallegos and Kun Liu and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Journal of The Electrochemical Society.

In The Last Decade

Musen Zhou

22 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Musen Zhou United States 12 274 242 209 141 108 22 737
Zhiqian Wang United States 16 191 0.7× 343 1.4× 227 1.1× 256 1.8× 66 0.6× 46 1.1k
Wenting Wang China 17 417 1.5× 368 1.5× 209 1.0× 44 0.3× 111 1.0× 36 871
Mengjie Zhao China 17 389 1.4× 346 1.4× 172 0.8× 49 0.3× 45 0.4× 56 865
Runfeng Lin China 17 673 2.5× 380 1.6× 170 0.8× 136 1.0× 83 0.8× 30 1.1k
Ying Qin China 15 444 1.6× 204 0.8× 256 1.2× 57 0.4× 48 0.4× 31 697
Yingxue Zhang China 12 253 0.9× 143 0.6× 107 0.5× 44 0.3× 71 0.7× 23 693
Mengyao Zhang China 17 444 1.6× 257 1.1× 71 0.3× 170 1.2× 28 0.3× 58 854
Rosaria D’Amato Italy 21 298 1.1× 376 1.6× 142 0.7× 48 0.3× 66 0.6× 57 1.0k
Yuxi Zhao China 13 318 1.2× 342 1.4× 81 0.4× 68 0.5× 87 0.8× 24 872
Yamei Liu China 17 791 2.9× 330 1.4× 131 0.6× 263 1.9× 52 0.5× 42 1.1k

Countries citing papers authored by Musen Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Musen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Musen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Musen Zhou. A scholar is included among the top collaborators of Musen Zhou 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 Musen Zhou. Musen Zhou 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.
Wang, Jingqi, Jiapeng Liu, Hongshuai Wang, et al.. (2024). A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks. Nature Communications. 15(1). 1904–1904. 62 indexed citations
3.
Wang, Tao, Murillo L. Martins, Jinlei Cui, et al.. (2023). Machine-learning-assisted material discovery of oxygen-rich highly porous carbon active materials for aqueous supercapacitors. Nature Communications. 14(1). 4607–4607. 110 indexed citations
4.
Mu, Wenjing, Musen Zhou, Jianzhong Wu, et al.. (2023). Superstructural ordering in self-sorting coacervate-based protocell networks. Nature Chemistry. 16(2). 158–167. 67 indexed citations
5.
Mu, Wenjing, Musen Zhou, Jianzhong Wu, et al.. (2023). Superstructural ordering in self-sorting coacervate-based protocell networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
Zhou, Musen, et al.. (2022). Predicting the Materials Properties Using a 3D Graph Neural Network With Invariant Representation. IEEE Access. 10. 62440–62449. 13 indexed citations
7.
Wang, Jingqi, Musen Zhou, Diannan Lu, Weiyang Fei, & Jianzhong Wu. (2022). Virtual Screening of Nanoporous Materials for Noble Gas Separation. ACS Applied Nano Materials. 5(3). 3701–3711. 12 indexed citations
8.
Zhou, Musen, et al.. (2022). Efficient force field and energy emulation through partition of permutationally equivalent atoms. The Journal of Chemical Physics. 156(18). 184304–184304. 6 indexed citations
9.
Mu, Wenjing, Zhen Ji, Musen Zhou, et al.. (2021). Membrane-confined liquid-liquid phase separation toward artificial organelles. Science Advances. 7(22). 136 indexed citations
10.
Wang, Tao, Robert L. Sacci, Jiyuan Liang, et al.. (2021). Mechanistic Insights of Pore Contributions in Carbon Supercapacitors by Modified Step Potential Electrochemical Spectroscopy. Journal of The Electrochemical Society. 168(6). 60530–60530. 7 indexed citations
11.
Zhou, Musen, et al.. (2021). Modeling Multicomponent Gas Adsorption in Nanoporous Materials with Two Versions of Nonlocal Classical Density Functional Theory. Industrial & Engineering Chemistry Research. 60(47). 17016–17025. 5 indexed citations
12.
Zhou, Musen & Jianzhong Wu. (2021). Massively Parallel GPU-Accelerated String Method for Fast and Accurate Prediction of Molecular Diffusivity in Nanoporous Materials. ACS Applied Nano Materials. 4(5). 5394–5403. 7 indexed citations
13.
Zhang, Jian, Musen Zhou, Jiayan Shi, et al.. (2021). Regulating lithium deposition via electropolymerization of acrylonitrile in rechargeable lithium metal batteries. Nano Energy. 88. 106298–106298. 32 indexed citations
14.
Wang, Jingqi, Musen Zhou, Diannan Lu, Weiyang Fei, & Jianzhong Wu. (2020). Computational screening and design of nanoporous membranes for efficient carbon isotope separation. Green Energy & Environment. 5(3). 364–373. 11 indexed citations
15.
Zhou, Musen, Anthony Vassallo, & Jianzhong Wu. (2020). Data-Driven Approach to Understanding the In-Operando Performance of Heteroatom-Doped Carbon Electrodes. ACS Applied Energy Materials. 3(6). 5993–6000. 55 indexed citations
16.
Zhou, Musen & Jianzhong Wu. (2020). A GPU implementation of classical density functional theory for rapid prediction of gas adsorption in nanoporous materials. The Journal of Chemical Physics. 153(7). 74101–74101. 12 indexed citations
17.
Zhou, Musen, Yun Tian, Weiyang Fei, & Jianzhong Wu. (2019). Fractionation of Isotopic Methanes with Metal–Organic Frameworks. The Journal of Physical Chemistry C. 123(12). 7397–7407. 7 indexed citations
18.
Zhou, Musen, Anthony Vassallo, & Jian Wu. (2019). Toward the inverse design of MOF membranes for efficient D2/H2 separation by combination of physics-based and data-driven modeling. Journal of Membrane Science. 598. 117675–117675. 58 indexed citations
19.
Zhou, Musen, Alejandro Gallegos, Kun Liu, Sheng Dai, & Jianzhong Wu. (2019). Insights from machine learning of carbon electrodes for electric double layer capacitors. Carbon. 157. 147–152. 105 indexed citations
20.
Cao, Wei, Linghong Lu, Musen Zhou, et al.. (2017). Hydrophilicity effect on CO2/CH4 separation using carbon nanotube membranes: insights from molecular simulation. Molecular Simulation. 43(7). 502–509. 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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