Ching‐Ju Chen
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
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- Intensive Care Unit Cognitive Disorders
Papers in
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- Infection Control and Ventilation 1
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- Smart Agriculture and AI 4
- Date Palm Research Studies 3
- Co-authors
- Yueh‐Min Huang (5 shared papers)Chuan‐Yu Chang (3 shared papers)Ya-Yu Huang (2 shared papers)Ying-Cheng Chen (2 shared papers)Eva M. Click (2 shared papers)Gregory Hopkins (2 shared papers)Richard Frothingham (2 shared papers)Casey C. Perley (1 shared paper)
- Journals
- Journal of Nursing Research (3 papers)Chaos Solitons & Fractals (2 papers)IEEE Access (2 papers)Cell and Tissue Research (1 paper)Fractals (1 paper)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Ching‐Ju Chen
20 papers receiving 450 citations
Peers
Comparison fields: 5 of 122
- Plant Science 215
- Critical Care and Intensive Care Medicine 20
- Computer Vision and Pattern Recognition 64
- Radiological and Ultrasound Technology 13
- Infectious Diseases 40
Countries citing papers authored by Ching‐Ju Chen
This map shows the geographic impact of Ching‐Ju 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 Ching‐Ju Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Ju Chen more than expected).
Fields of papers citing papers by Ching‐Ju Chen
This network shows the impact of papers produced by Ching‐Ju 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 Ching‐Ju Chen. The network helps show where Ching‐Ju Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Ju 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2021 | 130 | |
| 3 | 2011 | 47 | |
| 4 | 2010 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2015 | 15 | |
| 7 | 2007 | 15 | |
| 8 | 2014 | 15 | |
| 9 | 1992 | 13 | |
| 10 | 2009 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 1982 | 12 | |
| 13 | 2007 | 12 | |
| 14 | 2017 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 1992 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Ching‐Ju Chen
Ching‐Ju Chen is a scholar working on Pulmonary and Respiratory Medicine, Plant Science, Computer Vision and Pattern Recognition, Epidemiology and Molecular Biology, having authored 22 papers that have together received 476 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Date Palm Research Studies (3 papers), Image Processing and 3D Reconstruction (2 papers), Remote Sensing and Land Use (2 papers), Palliative Care and End-of-Life Issues (2 papers), Mathematical Dynamics and Fractals (2 papers), Infection Control and Ventilation (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Plant Science (215 citations), Critical Care and Intensive Care Medicine (20 citations), Computer Vision and Pattern Recognition (64 citations), Radiological and Ultrasound Technology (13 citations) and Infectious Diseases (40 citations). Ching‐Ju Chen has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Yueh‐Min Huang, Chuan‐Yu Chang, Ya-Yu Huang, Ying-Cheng Chen, Eva M. Click, Gregory Hopkins, Richard Frothingham, Casey C. Perley, Gretl A. McHugh and Malcolm Campbell. Their work appears in journals such as Journal of Nursing Research, Chaos Solitons & Fractals, IEEE Access, Cell and Tissue Research and Fractals.
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.