Enze Chen
Impact in
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- Gold and Silver Nanoparticles Synthesis and Applications
- Crystal Structures and Properties
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- Cellular and Composite Structures
- High Temperature Alloys and Creep
Papers in
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- Cellular and Composite Structures 5
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- Machine Learning in Materials Science 5
- Microstructure and mechanical properties 4
- Co-authors
- Stavros Gaitanaros (6 shared papers)Limei Tian (1 shared paper)Naveen Gandra (1 shared paper)Srikanth Singamaneni (1 shared paper)Abdennour Abbas (1 shared paper)Mark Asta (4 shared papers)Timofey Frolov (3 shared papers)Artur Tamm (1 shared paper)
- Journals
- Journal of Neural Engineering (2 papers)Journal of Radioanalytical and Nuclear Chemistry (2 papers)Measurement Science and Technology (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)npj Computational Materials (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Enze Chen
29 papers receiving 389 citations
Peers
Comparison fields: 5 of 81
- Electronic, Optical and Magnetic Materials 98
- Mechanical Engineering 142
- Biomedical Engineering 121
- Materials Chemistry 121
- Automotive Engineering 27
Countries citing papers authored by Enze Chen
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
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-authors
The 25 scholars most cited alongside Enze Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2022 | 47 | |
| 3 | 2021 | 36 | |
| 4 | 2023 | 26 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2024 | 18 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2010 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2013 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Enze Chen
Enze Chen is a scholar working on Mechanical Engineering, Materials Chemistry, Biomedical Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 394 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Cellular and Composite Structures (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Microstructure and mechanical properties (4 papers), Plasmonic and Surface Plasmon Research (2 papers), Acoustic Wave Phenomena Research (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Advanced Materials Characterization Techniques (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (98 citations), Mechanical Engineering (142 citations), Biomedical Engineering (121 citations), Materials Chemistry (121 citations) and Automotive Engineering (27 citations). Enze Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Stavros Gaitanaros, Limei Tian, Naveen Gandra, Srikanth Singamaneni, Abdennour Abbas, Mark Asta, Timofey Frolov, Artur Tamm, Tao Wang and Kaichuang Chen. Their work appears in journals such as Journal of Neural Engineering, Journal of Radioanalytical and Nuclear Chemistry, Measurement Science and Technology, International Journal of Machine Learning and Cybernetics and npj Computational Materials.
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.