Ta‐Te Chen
Impact in
- Mechanical Engineering top 5%
- Cellular and Composite Structures
- Advanced Materials and Mechanics
- Microstructure and Mechanical Properties of Steels
- Additive Manufacturing Materials and Processes
-
- Machine Learning in Materials Science
Papers in
-
- Microstructure and Mechanical Properties of Steels 9
- Advanced Materials and Mechanics 5
- Cellular and Composite Structures 2
- Additive Manufacturing Materials and Processes 1
-
- Machine Learning in Materials Science 2
- Solidification and crystal growth phenomena 1
- Co-authors
- Ikumu Watanabe (15 shared papers)Xiaoyang Zheng (5 shared papers)Xubo Zhang (1 shared paper)Sadaki Samitsu (1 shared paper)Xiaofeng Guo (1 shared paper)Masanobu Naito (6 shared papers)Fei Sun (13 shared papers)Yoshitaka Adachi (16 shared papers)
In The Last Decade
Ta‐Te Chen
27 papers receiving 611 citations
Ta‐Te Chen's Hit Papers
Peers
Comparison fields: 5 of 24
- Mechanical Engineering 250
- Materials Chemistry 100
- Metals and Alloys 4
- Biomedical Engineering 60
- Museology 5
Countries citing papers authored by Ta‐Te Chen
This map shows the geographic impact of Ta‐Te 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 Ta‐Te Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta‐Te Chen more than expected).
Fields of papers citing papers by Ta‐Te Chen
This network shows the impact of papers produced by Ta‐Te 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 Ta‐Te Chen. The network helps show where Ta‐Te Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Ta‐Te 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design Hit paper breakdown → | 2023 | 251 |
| 2 | 2021 | 132 | |
| 3 | 2022 | 64 | |
| 4 | 2022 | 45 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 13 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2025 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Ta‐Te Chen
Ta‐Te Chen is a scholar working on Mechanical Engineering, Materials Chemistry, Mechanics of Materials, Civil and Structural Engineering and Nuclear Energy and Engineering, having authored 29 papers that have together received 619 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (9 papers), Advanced Materials and Mechanics (5 papers), Metal and Thin Film Mechanics (2 papers), Machine Learning in Materials Science (2 papers), Cellular and Composite Structures (2 papers), Additive Manufacturing Materials and Processes (1 paper), Topology Optimization in Engineering (1 paper) and Solidification and crystal growth phenomena (1 paper). The work is most often cited by research in Mechanical Engineering (250 citations), Materials Chemistry (100 citations), Metals and Alloys (4 citations), Biomedical Engineering (60 citations) and Museology (5 citations). Ta‐Te Chen has collaborated with scholars based in Japan and China. Frequent co-authors include Ikumu Watanabe, Xiaoyang Zheng, Xubo Zhang, Sadaki Samitsu, Xiaofeng Guo, Masanobu Naito, Fei Sun, Yoshitaka Adachi, Toshio Ogawa and Koichiro Uto. Their work appears in journals such as Materials, Journal of Materials Research and Technology, Science and Technology of Advanced Materials, Materials & Design and Small.
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.