Chao‐Wu Yu
Impact in
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
Papers in
- Oncology 8
- Peptidase Inhibition and Analysis 7
- Co-authors
- J HeinrichJi‐Wang ChernLing‐Wei HsinYung Sung ChengWilliam E. BechtoldChen‐Wei HuangYi‐Sheng ChengDavid K. Robinson
- Journals
- Journal of Medicinal Chemistry (3 papers)International Journal for Numerical Methods in Engineering (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Biotechnology and Bioengineering (1 paper)Organic Letters (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chao‐Wu Yu
21 papers receiving 662 citations
Peers
Comparison fields: 5 of 107
- Computational Mechanics 109
- Numerical Analysis 26
- Organic Chemistry 127
- Molecular Biology 285
- Oncology 110
Countries citing papers authored by Chao‐Wu Yu
This map shows the geographic impact of Chao‐Wu Yu'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 Chao‐Wu Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Wu Yu more than expected).
Fields of papers citing papers by Chao‐Wu Yu
This network shows the impact of papers produced by Chao‐Wu Yu. 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 Chao‐Wu Yu. The network helps show where Chao‐Wu Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao‐Wu Yu, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 70 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 12 | |
| 12 | 2013 | 85 | |
| 13 | 2012 | 63 | |
| 14 | 2007 | 9 | |
| 15 | 2000 | 14 | |
| 16 | 1995 | 90 | |
| 17 | 1994 | 52 | |
| 18 | 1989 | 22 | |
| 19 | 1987 | 78 | |
| 20 | 1986 | 83 |
About Chao‐Wu Yu
Chao‐Wu Yu is a scholar working on Oncology, Geriatrics and Gerontology, Numerical Analysis, Molecular Biology and Computational Mechanics, having authored 22 papers that have together received 688 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (8 papers), Peptidase Inhibition and Analysis (7 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Ubiquitin and proteasome pathways (2 papers), Nuclear Receptors and Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computational Mechanics (109 citations), Numerical Analysis (26 citations), Organic Chemistry (127 citations), Molecular Biology (285 citations) and Oncology (110 citations). Chao‐Wu Yu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include J Heinrich, Ji‐Wang Chern, Ling‐Wei Hsin, Yung Sung Cheng, William E. Bechtold, Chen‐Wei Huang, Yi‐Sheng Cheng, David K. Robinson, P.K. Tsai and Melvin Silberklang. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal for Numerical Methods in Engineering, Journal of Enzyme Inhibition and Medicinal Chemistry, Biotechnology and Bioengineering and Organic 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.