Chun‐I Chen
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- Grey System Theory Applications 12
- Modeling and Simulation top 10%
- Geriatrics and Gerontology top 10%
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- Fluid Dynamics and Turbulent Flows 9
- Fluid Dynamics and Thin Films 4
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- Nanofluid Flow and Heat Transfer 7
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- Cancer survivorship and care 6
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- Family Support in Illness 5
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- Chronic Disease Management Strategies 3
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- Energy Load and Power Forecasting 3
- Co-authors
- Chiung‐Yu HuangMartin BeinbornHui‐Ling LaiC.-K. ChenYong YangStephen M. HsuChu‐Yun LuJianping Bin
- Cited by
- Management Science and Operations ResearchFluid Flow and Transfer ProcessesModeling and Simulation
- Journals
- PLoS ONE (3 papers)Communications in Nonlinear Science and Numerical Simulation (3 papers)Applied Mathematics and Computation (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun‐I Chen
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Management Science and Operations Research 552
- Fluid Flow and Transfer Processes 56
- Modeling and Simulation 36
- Geriatrics and Gerontology 29
- Endocrinology, Diabetes and Metabolism 118
Countries citing papers authored by Chun‐I Chen
This map shows the geographic impact of Chun‐I 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 Chun‐I Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐I Chen more than expected).
Fields of papers citing papers by Chun‐I Chen
This network shows the impact of papers produced by Chun‐I 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 Chun‐I Chen. The network helps show where Chun‐I Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun‐I 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 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 38 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 11 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 22 | |
| 13 | 2014 | 17 | |
| 14 | 2013 | 11 | |
| 15 | 2012 | 52 | |
| 16 | 2010 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2005 | 49 | |
| 19 | 2004 | 29 | |
| 20 | 2003 | 27 |
About Chun‐I Chen
Chun‐I Chen is a scholar working on Management Science and Operations Research, Fluid Flow and Transfer Processes, Computational Mechanics, Oncology and Geriatrics and Gerontology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Grey System Theory Applications (12 papers), Fluid Dynamics and Turbulent Flows (9 papers), Nanofluid Flow and Heat Transfer (7 papers), Cancer survivorship and care (6 papers), Family Support in Illness (5 papers), Fluid Dynamics and Thin Films (4 papers), Chronic Disease Management Strategies (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Management Science and Operations Research (552 citations), Fluid Flow and Transfer Processes (56 citations), Modeling and Simulation (36 citations), Geriatrics and Gerontology (29 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Chun‐I Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chiung‐Yu Huang, Martin Beinborn, Hui‐Ling Lai, C.-K. Chen, Yong Yang, Stephen M. Hsu, Chu‐Yun Lu, Jianping Bin, Hung‐Yu Lin and Yulin Liao. Their work appears in journals such as PLoS ONE, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics and Computation, Molecular Pharmacology and Annals of Oncology.
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.