Tianchen Cui

453 total citations
20 papers, 323 citations indexed

About

Tianchen Cui is a scholar working on Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment and Mechanics of Materials. According to data from OpenAlex, Tianchen Cui has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 6 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Mechanics of Materials. Recurrent topics in Tianchen Cui's work include Topology Optimization in Engineering (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Composite Structure Analysis and Optimization (5 papers). Tianchen Cui is often cited by papers focused on Topology Optimization in Engineering (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Composite Structure Analysis and Optimization (5 papers). Tianchen Cui collaborates with scholars based in China, United States and Taiwan. Tianchen Cui's co-authors include Zongliang Du, Xu Guo, Weisheng Zhang, Chang Liu, Chang Liu, Zhi Sun, Ronghua Cui, Yonggang Zheng, Xiaoyu Zhang and Yue Mei and has published in prestigious journals such as Journal of Power Sources, Applied Catalysis B: Environmental and Scientific Reports.

In The Last Decade

Tianchen Cui

19 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianchen Cui China 10 187 118 59 56 47 20 323
Yuchao Hua China 9 129 0.7× 52 0.4× 252 4.3× 47 0.8× 48 1.0× 22 420
Timothy Breitzman United States 9 85 0.5× 259 2.2× 101 1.7× 12 0.2× 32 0.7× 23 369
Yongshuai Wang China 12 50 0.3× 27 0.2× 76 1.3× 19 0.3× 55 1.2× 39 410
Oleksandr Menshykov United Kingdom 16 109 0.6× 365 3.1× 51 0.9× 126 2.3× 19 0.4× 54 448
V. I. Bolshakov Ukraine 7 26 0.1× 182 1.5× 70 1.2× 70 1.3× 85 1.8× 44 293
Tianqi Liang China 5 86 0.5× 62 0.5× 76 1.3× 3 0.1× 91 1.9× 10 350
J. Brian Caldwell United Kingdom 11 99 0.5× 86 0.7× 235 4.0× 16 0.3× 44 0.9× 42 382
R.C. Lin Germany 9 33 0.2× 130 1.1× 105 1.8× 19 0.3× 148 3.1× 16 364
S. Keshava Kumar India 12 172 0.9× 240 2.0× 82 1.4× 8 0.1× 31 0.7× 17 376
Αλέξανδρος Σολωμού United States 11 64 0.3× 46 0.4× 66 1.1× 31 0.6× 29 0.6× 22 332

Countries citing papers authored by Tianchen Cui

Since Specialization
Citations

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

Fields of papers citing papers by Tianchen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianchen Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Tianchen Cui. A scholar is included among the top collaborators of Tianchen Cui 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 Tianchen Cui. Tianchen Cui 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.
Meng, Fanqing, Tianchen Cui, Yinglong Wang, et al.. (2025). Rapid synthesis of single-layer iron-doped 2H tungsten sulfide via magnetic induction heating for piezocatalytic reduction of oxygen to hydrogen peroxide. Applied Catalysis B: Environmental. 371. 125224–125224. 1 indexed citations
3.
Wei, Ning, Sufeng Zhang, Xue Yao, et al.. (2025). Harnessing biomass: High-entropy phosphide nanosheets-carbon hybrid electrocatalysts for efficient hydrogen production. Journal of Material Science and Technology. 254. 156–167.
4.
Ning, Shunlian, Wei Zhou, Qikai Wu, et al.. (2024). Cobalt@Ruthenium Core@Shell nanoparticles embedded within nitrogen-doped carbon nanosheets as reversible oxygen electrocatalysts. Journal of Catalysis. 434. 115532–115532. 3 indexed citations
5.
Zheng, Tingting, et al.. (2024). Co–FeOOH thin nanosheets derived from 2D ZIF-L for efficient oxygen evolution reaction. International Journal of Hydrogen Energy. 82. 464–471. 3 indexed citations
6.
Liu, Chang, et al.. (2024). Problem-independent machine learning-enhanced structural topology optimization of complex design domains based on isoparametric elements. Extreme Mechanics Letters. 72. 102237–102237. 3 indexed citations
7.
Meng, Fanqing, Chenxi Guo, Tianchen Cui, et al.. (2024). Piezoelectric catalysis for antibacterial applications. Materials Chemistry Frontiers. 9(2). 171–188. 5 indexed citations
8.
Du, Zongliang, Xiaoqiang Ren, Yibo Jia, et al.. (2023). Inverse design of mechanical metamaterial achieving a prescribed constitutive curve. Theoretical and Applied Mechanics Letters. 14(1). 100486–100486. 5 indexed citations
9.
Du, Zongliang, Xiaohong Chen, Chang Liu, et al.. (2023). Artificial intelligence-enhanced bioinspiration: Design of optimized mechanical lattices beyond deep-sea sponges. Extreme Mechanics Letters. 62. 102033–102033. 11 indexed citations
10.
Du, Zongliang, et al.. (2023). Higher-order topological insulators by ML-enhanced topology optimization. International Journal of Mechanical Sciences. 255. 108441–108441. 32 indexed citations
11.
Liu, Chang, Weisheng Zhang, Yongquan Liu, et al.. (2023). A compatible boundary condition-based topology optimization paradigm for static mechanical cloak design. Extreme Mechanics Letters. 65. 102100–102100. 8 indexed citations
12.
Cui, Tianchen, Qiming Liu, & Shaowei Chen. (2023). Dual‐Atom Catalysts for Electrochemical Energy Technologies. Energy Technology. 11(4). 6 indexed citations
13.
14.
Du, Zongliang, Chang Liu, Yonggang Zheng, et al.. (2022). Problem-independent machine learning (PIML)-based topology optimization—A universal approach. Extreme Mechanics Letters. 56. 101887–101887. 50 indexed citations
15.
Cui, Tianchen, Zongliang Du, Chang Liu, Zhi Sun, & Xu Guo. (2022). Explicit Topology Optimization with Moving Morphable Component (MMC) Introduction Mechanism. Acta Mechanica Solida Sinica. 35(3). 384–408. 16 indexed citations
16.
Du, Zongliang, et al.. (2022). An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization. Structural and Multidisciplinary Optimization. 65(5). 78 indexed citations
17.
Cui, Tianchen, et al.. (2021). PdAg alloy nanoparticles immobilized on functionalized MIL-101-NH2: effect of organic amines on hydrogenation of carbon dioxide into formic acid. New Journal of Chemistry. 45(14). 6293–6300. 16 indexed citations
18.
Cui, Tianchen, Zhi Sun, Chang Liu, et al.. (2020). Topology optimization of plate structures using plate element-based moving morphable component (MMC) approach. Acta Mechanica Sinica. 36(2). 412–421. 10 indexed citations
19.
Sun, Zhi, Ronghua Cui, Tianchen Cui, et al.. (2020). An Optimization Approach for Stiffener Layout of Composite Stiffened Panels Based on Moving Morphable Components (MMCs). Acta Mechanica Solida Sinica. 33(5). 650–662. 19 indexed citations
20.
Sun, Zhi, Tianchen Cui, Yichao Zhu, et al.. (2018). The mechanical principles behind the golden ratio distribution of veins in plant leaves. Scientific Reports. 8(1). 13859–13859. 33 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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