Enze Chen

577 total citations
32 papers, 394 citations indexed

About

Enze Chen is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Enze Chen has authored 32 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 10 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Enze Chen's work include Cellular and Composite Structures (5 papers), Machine Learning in Materials Science (5 papers) and Microstructure and mechanical properties (4 papers). Enze Chen is often cited by papers focused on Cellular and Composite Structures (5 papers), Machine Learning in Materials Science (5 papers) and Microstructure and mechanical properties (4 papers). Enze Chen collaborates with scholars based in United States, China and Switzerland. Enze Chen's co-authors include Stavros Gaitanaros, Srikanth Singamaneni, Limei Tian, Abdennour Abbas, Naveen Gandra, Mark Asta, Timofey Frolov, Artur Tamm, Tao Wang and Haizhou Huang and has published in prestigious journals such as Science, Nucleic Acids Research and Chemistry of Materials.

In The Last Decade

Enze Chen

29 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enze Chen United States 11 142 121 121 98 53 32 394
Junjie Yang China 14 229 1.6× 171 1.4× 163 1.3× 86 0.9× 125 2.4× 48 666
Tianying Wang China 13 221 1.6× 68 0.6× 143 1.2× 29 0.3× 26 0.5× 38 498
Siyang Li China 11 49 0.3× 142 1.2× 121 1.0× 61 0.6× 46 0.9× 38 468
Yongbin Guo China 10 82 0.6× 88 0.7× 115 1.0× 130 1.3× 29 0.5× 46 337
Tingbo Zhang China 9 79 0.6× 97 0.8× 261 2.2× 50 0.5× 29 0.5× 25 467
Da Wang China 11 88 0.6× 110 0.9× 65 0.5× 21 0.2× 48 0.9× 24 342
Chenchen Jiang China 12 104 0.7× 113 0.9× 179 1.5× 158 1.6× 13 0.2× 30 513
Kuo Zhao China 11 104 0.7× 61 0.5× 296 2.4× 28 0.3× 50 0.9× 46 528
Guokun Liu China 16 193 1.4× 91 0.8× 242 2.0× 100 1.0× 33 0.6× 34 776

Countries citing papers authored by Enze Chen

Since Specialization
Citations

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

Fields of papers citing papers by Enze Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enze Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Enze Chen. A scholar is included among the top collaborators of Enze Chen 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 Enze Chen. Enze Chen 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.
Ding, Hui, Ahmad Akbari, Enze Chen, et al.. (2025). Hierarchy of defects in near-Σ5 tilt grain boundaries in copper studied by length-scale bridging electron microscopy. Acta Materialia. 287. 120778–120778. 1 indexed citations
2.
Chen, Enze, et al.. (2025). Lightweight deep learning models for EEG decoding: a review. Journal of Neural Engineering. 22(6). 61004–61004.
3.
Yan, Weiwu, et al.. (2025). A novel mid- and long-term time-series forecasting framework for electricity price based on hierarchical recurrent neural networks. Journal of the Franklin Institute. 362(6). 107590–107590. 2 indexed citations
4.
Chen, Enze, et al.. (2024). Oxygen grain-boundary segregation in HCP Ti — Computational investigations using an atomic cluster expansion potential. Computational Materials Science. 248. 113577–113577. 2 indexed citations
5.
Chen, Enze, Mark Asta, & Andrew M. Minor. (2024). Integrating programming-based modules into a materials characterization laboratory course to reinforce data science and scientific writing. Papers on Engineering Education Repository (American Society for Engineering Education).
6.
Chen, Enze, et al.. (2024). Topological grain boundary segregation transitions. Science. 386(6720). 420–424. 18 indexed citations
7.
Chen, Enze, et al.. (2024). Soldered chip reversed polarity detection based on semi-combinatorial attention and size-sensitive IoU. Measurement Science and Technology. 35(10). 105407–105407. 1 indexed citations
8.
Chen, Yulin, et al.. (2023). Investigation of Model Uncertainty in Rainfall-Induced Landslide Prediction under Changing Climate Conditions. Land. 12(9). 1732–1732. 2 indexed citations
9.
Xiao, Xiaolin, Enze Chen, Lin Meng, et al.. (2023). Almost free of calibration for SSVEP-based brain-computer interfaces. Journal of Neural Engineering. 20(6). 66013–66013. 10 indexed citations
10.
Chen, Enze, et al.. (2023). A data-driven framework for structure-property correlation in ordered and disordered cellular metamaterials. Science Advances. 9(41). eadi1453–eadi1453. 26 indexed citations
11.
Chen, Enze, et al.. (2022). Educating current industrial workforce to embrace data-driven materials development. MRS Bulletin. 47(10). 981–985. 1 indexed citations
12.
Chen, Enze & Mark Asta. (2022). Using Jupyter Tools to Design an Interactive Textbook to Guide Undergraduate Research in Materials Informatics. Journal of Chemical Education. 99(10). 3601–3606. 8 indexed citations
13.
Chen, Enze, et al.. (2022). Modeling antiphase boundary energies of Ni3Al-based alloys using automated density functional theory and machine learning. npj Computational Materials. 8(1). 47 indexed citations
14.
Song, Limei, et al.. (2022). Research on global calibration method of large-scene multi-vision sensors in wheel alignment. Measurement Science and Technology. 33(11). 115001–115001. 2 indexed citations
15.
Chen, Enze, et al.. (2022). On the compressive strength of brittle lattice metamaterials. International Journal of Solids and Structures. 257. 111871–111871. 20 indexed citations
16.
Chen, Enze, et al.. (2022). On the strength of brittle foams with uniform and gradient densities. Extreme Mechanics Letters. 51. 101598–101598. 12 indexed citations
17.
Song, Limei, et al.. (2022). Blended fabric with integrated neural network based on attention mechanism qualitative identification method of near infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 276. 121214–121214. 3 indexed citations
18.
Zhao, Jie, Ziyu Guan, Cai Xu, Wei Zhao, & Enze Chen. (2022). Charge Prediction by Constitutive Elements Matching of Crimes. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4517–4523. 6 indexed citations
19.
Chen, Enze, et al.. (2019). Transferable Kinetic Monte Carlo Models with Thousands of Reactions Learned from Molecular Dynamics Simulations. The Journal of Physical Chemistry A. 123(9). 1874–1881. 11 indexed citations
20.
Chen, Enze, Laurent Duchêne, Anne Habraken, & Bert Verlinden. (2010). Multiscale modelling of back-stress during equal-channel angular pressing. REVIEWS ON ADVANCED MATERIALS SCIENCE. 25(1). 23–31. 2 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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