Chin-Hsien Wu
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 18
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- Advanced Data Storage Technologies 46
- Caching and Content Delivery 40
- Peer-to-Peer Network Technologies 8
- Distributed and Parallel Computing Systems 4
- Distributed systems and fault tolerance 3
- Artificial Intelligence top 10%
- Algorithms and Data Compression 5
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- Cloud Data Security Solutions 4
- Co-authors
- Tei‐Wei KuoLi-Pin ChangZeng‐Wei HongKai-Yi ChinChia-Lin YangChen‐Yu ChangYu‐Hsun LinY. W. Tsai
In The Last Decade
Chin-Hsien Wu
48 papers receiving 489 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 181
- Computer Networks and Communications 476
- Signal Processing 37
- Artificial Intelligence 103
- Computational Theory and Mathematics 46
Countries citing papers authored by Chin-Hsien Wu
This map shows the geographic impact of Chin-Hsien Wu'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 Chin-Hsien Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Hsien Wu more than expected).
Fields of papers citing papers by Chin-Hsien Wu
This network shows the impact of papers produced by Chin-Hsien Wu. 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 Chin-Hsien Wu. The network helps show where Chin-Hsien Wu may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Chin-Hsien Wu, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 6 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 3 | |
| 13 | A Data De-duplication Access Framework for Solid State Drives. | 2012 | 1 |
| 14 | A Bad-Block Test Design for Multiple Flash-Memory Chips | 2012 | 1 |
| 15 | 2012 | 1 | |
| 16 | A Low-Memory Address Translation Mechanism for Flash-Memory Storage Systems * | 2011 | 0 |
| 17 | 2011 | 1 | |
| 18 | 2010 | 6 | |
| 19 | 2010 | 14 | |
| 20 | 2006 | 19 |
About Chin-Hsien Wu
Chin-Hsien Wu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 54 papers that have together received 511 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (46 papers), Caching and Content Delivery (40 papers), Parallel Computing and Optimization Techniques (18 papers), Peer-to-Peer Network Technologies (8 papers), Algorithms and Data Compression (5 papers), Distributed and Parallel Computing Systems (4 papers), Cloud Data Security Solutions (4 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Hardware and Architecture (181 citations), Computer Networks and Communications (476 citations) and Signal Processing (37 citations). Chin-Hsien Wu has collaborated with scholars based in Taiwan and Germany. Frequent co-authors include Tei‐Wei Kuo, Li-Pin Chang, Zeng‐Wei Hong, Kai-Yi Chin, Chia-Lin Yang, Chen‐Yu Chang, Yu‐Hsun Lin, Y. W. Tsai, Pi-Cheng Hsiu and Po‐Han Wu. Their work appears in journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Dependable and Secure Computing.
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.