Ya-Chu Yang
Impact in
- Mechanical Engineering top 5%
- High Entropy Alloys Studies
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- Machine Learning in Materials Science
Papers in
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- High Entropy Alloys Studies 7
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- VLSI and FPGA Design Techniques 2
- Thin-Film Transistor Technologies 1
- Electrical and Thermal Properties of Materials 1
- Perovskite Materials and Applications 1
- Co-authors
- Jien‐Wei Yeh (6 shared papers)Wei‐Lin Hsu (1 shared paper)Ko-Kai Tseng (1 shared paper)Tsung‐Shune Chin (1 shared paper)Che‐Wei Tsai (1 shared paper)Chien-Chang Juan (1 shared paper)Yang-Yuan Chen (1 shared paper)Chun-Huei Tsau (4 shared papers)
In The Last Decade
Ya-Chu Yang
15 papers receiving 499 citations
Peers
Comparison fields: 5 of 44
- Mechanical Engineering 310
- Materials Chemistry 71
- Computational Theory and Mathematics 26
- Renewable Energy, Sustainability and the Environment 25
- Metals and Alloys 3
Countries citing papers authored by Ya-Chu Yang
This map shows the geographic impact of Ya-Chu Yang'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 Ya-Chu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Chu Yang more than expected).
Fields of papers citing papers by Ya-Chu Yang
This network shows the impact of papers produced by Ya-Chu Yang. 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 Ya-Chu Yang. The network helps show where Ya-Chu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Chu Yang, 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 | 2017 | 121 | |
| 2 | 2017 | 106 | |
| 3 | 2017 | 91 | |
| 4 | 2023 | 62 | |
| 5 | 2012 | 34 | |
| 6 | 2021 | 25 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2010 | 13 | |
| 10 | 2008 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2020 | 0 |
About Ya-Chu Yang
Ya-Chu Yang is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Polymers and Plastics, having authored 16 papers that have together received 516 indexed citations. Recurring topics across this work include High Entropy Alloys Studies (7 papers), VLSI and FPGA Design Techniques (2 papers), Educational Games and Gamification (1 paper), Thin-Film Transistor Technologies (1 paper), Electrical and Thermal Properties of Materials (1 paper), Perovskite Materials and Applications (1 paper), Augmented Reality Applications (1 paper) and Web and Library Services (1 paper). The work is most often cited by research in Mechanical Engineering (310 citations), Materials Chemistry (71 citations), Computational Theory and Mathematics (26 citations), Renewable Energy, Sustainability and the Environment (25 citations) and Metals and Alloys (3 citations). Ya-Chu Yang has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Jien‐Wei Yeh, Wei‐Lin Hsu, Ko-Kai Tseng, Tsung‐Shune Chin, Che‐Wei Tsai, Chien-Chang Juan, Yang-Yuan Chen, Chun-Huei Tsau, Alán Aspuru‐Guzik and Alexander M. Aliper. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Science China Technological Sciences, The Electronic Library, Scripta Materialia and 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.