Yu‐Chin Chan

1.0k citations
17 papers · 778 · 2 hit papers · h-index 13

Impact in

Papers in

Yu‐Chin Chan

17 papers receiving 768 citations

Yu‐Chin Chan's Hit Papers

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review 2023 · 144 citations
1440+2+4Years since publication50100150200250

Peers

Yu‐Chin Chan
Comparison fields: 5 of 60
  • Civil and Structural Engineering 313
  • Mechanical Engineering 292
  • Computational Theory and Mathematics 122
  • Automotive Engineering 91
  • Statistics, Probability and Uncertainty 50
Replace Seth Watts with:
Seth Watts United States
Jun Hong China
Jiaying Gao United States
Seung‐Hyun Ha South Korea
Zheng-Dong Ma United States
Jian Xing China
Alberto Luiz Serpa Brazil
Yuanwu Cai China
Soobum Lee United States
Jeroen P. Groen Denmark
Yu‐Chin Chan relative to Seth Watts United States Seth Watts's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Yu‐Chin Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Yu‐Chin Chan Line = papers co-authored together Yu‐Chin Chan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Deep generative modeling for mechanistic-based learning and design of metamaterial systems
Hit paper breakdown →
2020258
2
Data‐Driven Design for Metamaterials and Multiscale Systems: A Review
Hit paper breakdown →
2023144
3 201949
4 202148
5 202044
6 201942
7 202138
8 202035
9 202230
10 202224
11 202220
12 201819
13 201718
14 20204
15 20222
16 20232
17 20201

About Yu‐Chin Chan

Yu‐Chin Chan is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics, Mechanical Engineering, Mechanics of Materials and Automotive Engineering, having authored 17 papers that have together received 778 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Cellular and Composite Structures (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Composite Structure Analysis and Optimization (3 papers), Composite Material Mechanics (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Acoustic Wave Phenomena Research (2 papers). The work is most often cited by research in Civil and Structural Engineering (313 citations), Mechanical Engineering (292 citations), Computational Theory and Mathematics (122 citations), Automotive Engineering (91 citations) and Statistics, Probability and Uncertainty (50 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, Anton van Beek and Ramin Bostanabad. Their work appears in journals such as Journal of Mechanical Design, Computer Methods in Applied Mechanics and Engineering, Structural and Multidisciplinary Optimization, Review of Scientific Instruments and Extreme Mechanics Letters.

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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