Yu‐Chin Chan
Impact in
-
- Topology Optimization in Engineering
- Mechanical Engineering top 10%
- Cellular and Composite Structures
- Advanced Materials and Mechanics
Papers in
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- Topology Optimization in Engineering 11
-
- Advanced Multi-Objective Optimization Algorithms 6
- Journals
- Journal of Mechanical Design (3 papers)Structural and Multidisciplinary Optimization (2 papers)Computer Methods in Applied Mechanics and Engineering (2 papers)Computer Modeling in Engineering & Sciences (1 paper)Composite Structures (1 paper)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Yu‐Chin Chan
17 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Civil and Structural Engineering 297
- Mechanical Engineering 281
- Computational Theory and Mathematics 120
- Automotive Engineering 86
- Statistics, Probability and Uncertainty 49
Countries citing papers authored by Yu‐Chin Chan
This map shows the geographic impact of Yu‐Chin Chan'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 Yu‐Chin Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chin Chan more than expected).
Fields of papers citing papers by Yu‐Chin Chan
This network shows the impact of papers produced by Yu‐Chin Chan. 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 Yu‐Chin Chan. The network helps show where Yu‐Chin Chan may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Yu‐Chin Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Data‐Driven Design for Metamaterials and Multiscale Systems: A Review Hit paper breakdown → | 2023 | 125 |
| 2 | 2023 | 2 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 45 | |
| 9 | Deep generative modeling for mechanistic-based learning and design of metamaterial systems Hit paper breakdown → | 2020 | 239 |
| 10 | 2020 | 4 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 43 | |
| 14 | 2019 | 46 | |
| 15 | 2019 | 40 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 18 |
About Yu‐Chin Chan
Yu‐Chin Chan is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Automotive Engineering and Mechanics of Materials, having authored 17 papers that have together received 717 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Composite Structure Analysis and Optimization (3 papers), Cellular and Composite Structures (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Composite Material Mechanics (2 papers), Music Technology and Sound Studies (2 papers) and Acoustic Wave Phenomena Research (2 papers). The work is most often cited by research in Civil and Structural Engineering (297 citations), Mechanical Engineering (281 citations), Computational Theory and Mathematics (120 citations), Automotive Engineering (86 citations) and Statistics, Probability and Uncertainty (49 citations). Yu‐Chin Chan has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Wei Chen, Ping Zhu, Liwei Wang, Zhao Liu, Faez Ahmed, Liwei Wang, Wei Chen, Daicong Da, Ramin Bostanabad and Anton van Beek. Their work appears in journals such as Journal of Mechanical Design, Structural and Multidisciplinary Optimization, Computer Methods in Applied Mechanics and Engineering, Computer Modeling in Engineering & Sciences and Composite Structures.
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.