Ying‐Ju Chen
- Molecular Biology top 10%
- Plant Science top 5%
- Food Science top 5%
- Physiology top 10%
- Biomedical Engineering
- Co-authors
- Shang‐Tzen ChangFadel M. MegahedSen‐Sung ChengChin‐Gi HuangWei‐June ChenTzong‐Yuan WuChia-Wei HuangWei‐Hsin Sun
- Topics
- Essential Oils and Antimicrobial Activity (8 papers)Viral Infectious Diseases and Gene Expression in Insects (8 papers)Statistical Distribution Estimation and Applications (6 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ying‐Ju Chen
118 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 719
- Plant Science 416
- Food Science 251
- Physiology 206
- Biomedical Engineering 189
Countries citing papers authored by Ying‐Ju Chen
This map shows the geographic impact of Ying‐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 Ying‐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 Ying‐Ju Chen more than expected).
Fields of papers citing papers by Ying‐Ju Chen
This network shows the impact of papers produced by Ying‐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 Ying‐Ju Chen. The network helps show where Ying‐Ju Chen may publish in the future.
Co-authorship network of co-authors of Ying‐Ju Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ju Chen. A scholar is included among the top collaborators of Ying‐Ju Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Ju Chen. Ying‐Ju Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory studybreakdown → | 104 |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | An evaluation of fatty acid-CoA ligase 4 in breast cancer. | 2 |
| 17 | Stipules and Colleters of the Mangrove Rhizophoraceae: Morphology, Structure and Comparative Significance | 13 |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 40 |
About Ying‐Ju Chen
Ying‐Ju Chen is a scholar working on Statistics and Probability, Health Informatics and Rehabilitation, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (8 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Statistical Distribution Estimation and Applications (6 papers). The work is most often cited by research in Health Informatics (60 citations), Business and International Management (32 citations) and Food Science (251 citations). Ying‐Ju Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shang‐Tzen Chang, Fadel M. Megahed, Sen‐Sung Cheng, Chin‐Gi Huang, Wei‐June Chen, Tzong‐Yuan Wu, Chia-Wei Huang, Sen‐Sung Cheng, Wei‐Hsin Sun and Chun‐Ya Lin. Their work appears in journals such as Blood, PLoS ONE and The Science of The Total Environment.
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.