Shize Liu

515 total citations · 1 hit paper
28 papers, 366 citations indexed

About

Shize Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Shize Liu has authored 28 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Renewable Energy, Sustainability and the Environment, 14 papers in Materials Chemistry and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Shize Liu's work include Catalytic Processes in Materials Science (10 papers), CO2 Reduction Techniques and Catalysts (9 papers) and Plasma Applications and Diagnostics (7 papers). Shize Liu is often cited by papers focused on Catalytic Processes in Materials Science (10 papers), CO2 Reduction Techniques and Catalysts (9 papers) and Plasma Applications and Diagnostics (7 papers). Shize Liu collaborates with scholars based in China and United States. Shize Liu's co-authors include Jing‐yao Liu, Baowei Wang, Haifeng Chen, Ying Wang, Kai Li, Zhijian Wu, Lin Cheng, Ji‐Jun Zou, Yeping Peng and Haifeng Chen and has published in prestigious journals such as ACS Nano, Journal of Power Sources and Chemical Engineering Journal.

In The Last Decade

Shize Liu

24 papers receiving 359 citations

Hit Papers

Hierarchical Tandem Catalysis Promotes CO Spillover and T... 2025 2026 2025 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hierarchical Tandem Catalysis Promotes CO Spillover and Trapping for Efficient CO2 Reduction to C2+ Products
    2025 43 citations Lei Bian, Qiang Cai et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shize Liu China 12 184 169 142 88 74 28 366
Sung‐Jin Uhm South Korea 7 89 0.5× 181 1.1× 233 1.6× 29 0.3× 71 1.0× 9 407
Juan Fernando Gómez-Pérez Hungary 11 56 0.3× 204 1.2× 123 0.9× 41 0.5× 83 1.1× 21 341
Mahesh Muraleedharan Nair Canada 11 111 0.6× 563 3.3× 419 3.0× 60 0.7× 239 3.2× 19 722
Xiaoxiao Nie China 11 253 1.4× 244 1.4× 12 0.1× 75 0.9× 46 0.6× 12 375
Daeil Choi South Korea 11 397 2.2× 143 0.8× 26 0.2× 376 4.3× 54 0.7× 17 501
Puyu Du China 8 357 1.9× 78 0.5× 33 0.2× 297 3.4× 37 0.5× 10 434
Shufang Zhao South Korea 13 260 1.4× 317 1.9× 150 1.1× 98 1.1× 45 0.6× 36 488
Srinivaas Masimukku Taiwan 8 286 1.6× 284 1.7× 16 0.1× 238 2.7× 179 2.4× 21 558
Fengchao Sun China 10 260 1.4× 123 0.7× 41 0.3× 269 3.1× 30 0.4× 16 438
Shuangshuang Li China 11 109 0.6× 232 1.4× 147 1.0× 64 0.7× 70 0.9× 15 407

Countries citing papers authored by Shize Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shize Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shize Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shize Liu. A scholar is included among the top collaborators of Shize 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 Shize Liu. Shize 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
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Bian, Lei, Qiang Cai, Jiayi Chen, et al.. (2025). Hierarchical Tandem Catalysis Promotes CO Spillover and Trapping for Efficient CO2 Reduction to C2+ Products. ACS Nano. 19(9). 9304–9316. 43 indexed citations breakdown →
3.
Wang, Baowei, et al.. (2025). Probe into methanol and ethanol mixtures oxidative reforming in gliding arc discharge plasma and kinetic model. Chemical Engineering and Processing - Process Intensification. 209. 110162–110162.
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Sun, Hao, et al.. (2024). First-Principles Study of Bimetallic Pairs Embedded on Graphene Co-Doped with N and O for N2 Electroreduction. Molecules. 29(4). 779–779. 1 indexed citations
7.
Wang, Baowei, et al.. (2024). Insights into n-dodecane steam reforming in gliding arc discharge plasma with experiment and kinetic model. Journal of the Energy Institute. 114. 101629–101629. 4 indexed citations
8.
Liu, Shize, et al.. (2024). Two-dimensional metal–organic frameworks with dual active sites for electrochemical CO2 reduction: A computational study. Separation and Purification Technology. 361. 131275–131275. 5 indexed citations
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Wang, Baowei, et al.. (2023). N-dodecane partial oxidative reforming in gliding arc discharge plasma and kinetic model. International Journal of Hydrogen Energy. 55. 958–969. 7 indexed citations
11.
Liu, Shize & Jing‐yao Liu. (2022). Rational design of highly efficient electrocatalytic single-atom catalysts for nitrogen reduction on nitrogen-doped graphene and g-C2N supports. Journal of Power Sources. 535. 231449–231449. 33 indexed citations
12.
Liu, Shize, et al.. (2022). Ethanol partial oxidative reforming in gliding arc discharge plasma: A better understanding by a kinetic model study. Fuel. 328. 125309–125309. 5 indexed citations
13.
Wang, Baowei, et al.. (2021). Heptane dry reforming and coupling with partial oxidation in gliding arc discharge plasma for H2 production. Fuel Processing Technology. 221. 106943–106943. 14 indexed citations
14.
Li, Xin, et al.. (2021). Enhanced gasoline selectivity through Fischer-Tropsch synthesis on a bifunctional catalyst: Effects of active sites proximity and reaction temperature. Chemical Engineering Journal. 416. 129180–129180. 35 indexed citations
15.
Wang, Baowei, et al.. (2020). Hydrogen Production via Partial Oxidation Reforming of Methane with Gliding Arc Discharge Plasma. ChemistrySelect. 5(44). 13781–13787. 11 indexed citations
16.
Liu, Shize, Lin Cheng, Kai Li, et al.. (2019). RuN4 Doped Graphene Oxide, a Highly Efficient Bifunctional Catalyst for Oxygen Reduction and CO2 Reduction from Computational Study. ACS Sustainable Chemistry & Engineering. 7(9). 8136–8144. 36 indexed citations
17.
Liu, Shize, Lin Cheng, Kai Li, et al.. (2018). The reaction pathways of the oxygen reduction reaction on IrN4 doped divacancy graphene: A theoretical study. Journal of Molecular Graphics and Modelling. 80. 293–298. 16 indexed citations
18.
Liu, Shize, Lin Cheng, Wencheng Wang, et al.. (2018). Fe-porphyrin carbon matrix as a bifunctional catalyst for oxygen reduction and CO2 reduction from theoretical perspective. Molecular Physics. 117(14). 1805–1812. 14 indexed citations
19.
Wang, Xiaokun, Jingxian Zhu, Shize Liu, et al.. (2012). Fabrication of electrospun silica–titania nanofibers with different silica content and evaluation of the morphology and osteoinductive properties. Journal of Biomedical Materials Research Part A. 100A(12). 3511–3517. 16 indexed citations
20.
Wang, Xiaokun, Jingxian Zhu, Shize Liu, et al.. (2012). Evaluation of the Morphology and Osteogenic Potential ofTitania‐Based Electrospun Nanofibers. Journal of Nanomaterials. 2012(1). 6 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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