Hsin-Yu Chen
Impact in
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- Renal Transplantation Outcomes and Treatments
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Quantum Computing Algorithms and Architecture 2
- Sentiment Analysis and Opinion Mining 1
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- Complex Network Analysis Techniques 2
- Co-authors
- Cheng–Te Li (2 shared papers)Yang Zhang (1 shared paper)Ching-Ying Huang (1 shared paper)Li-Wei Tu (1 shared paper)Shih-Chang Weng (1 shared paper)Mitch M. C. Chou (1 shared paper)Wei-Chuan Chen (1 shared paper)Ku-Ding Tsuei (1 shared paper)
- Journals
- Transplant International (1 paper)Bio-Medical Materials and Engineering (1 paper)ACS Nano (1 paper)Water (1 paper)Journal of Intelligent Information Systems (1 paper)
- Partner nations
- TaiwanGermanyUnited States
In The Last Decade
Hsin-Yu Chen
8 papers receiving 30 citations
Peers
Comparison fields: 5 of 30
- Transplantation 2
- Statistical and Nonlinear Physics 8
- Communication 2
- Artificial Intelligence 9
- Materials Chemistry 9
Countries citing papers authored by Hsin-Yu Chen
This map shows the geographic impact of Hsin-Yu Chen'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 Hsin-Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Yu Chen more than expected).
Fields of papers citing papers by Hsin-Yu Chen
This network shows the impact of papers produced by Hsin-Yu Chen. 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 Hsin-Yu Chen. The network helps show where Hsin-Yu Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Hsin-Yu Chen, 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 | 2021 | 9 | |
| 2 | 2017 | 7 | |
| 3 | 2021 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2015 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Hsin-Yu Chen
Hsin-Yu Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Transportation, Water Science and Technology and Global and Planetary Change, having authored 10 papers that have together received 30 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Complex Network Analysis Techniques (2 papers), Human Mobility and Location-Based Analysis (2 papers), Hydrology and Sediment Transport Processes (1 paper), Advanced Radiotherapy Techniques (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Transplantation (2 citations), Statistical and Nonlinear Physics (8 citations), Communication (2 citations), Artificial Intelligence (9 citations) and Materials Chemistry (9 citations). Hsin-Yu Chen has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Cheng–Te Li, Yang Zhang, Ching-Ying Huang, Li-Wei Tu, Shih-Chang Weng, Mitch M. C. Chou, Wei-Chuan Chen, Ku-Ding Tsuei, Horng‐Tay Jeng and Shih‐Han Wang. Their work appears in journals such as Transplant International, Bio-Medical Materials and Engineering, ACS Nano, Water and Journal of Intelligent Information Systems.
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.