Li-Ching Chen
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Yuan‐Soon Ho (14 shared papers)Shih‐Hsin Tu (13 shared papers)Leo Anthony Celi (3 shared papers)Armand R. J. Girbes (1 shared paper)Christopher Martin Sauer (1 shared paper)Paul Elbers (1 shared paper)Chih‐Hsiung Wu (8 shared papers)Ying‐Jan Wang (3 shared papers)
- Journals
- Journal of Food and Drug Analysis (3 papers)ACS Nano (2 papers)Food Science and Human Wellness (2 papers)The Lancet Digital Health (2 papers)Molecular Pharmaceutics (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Li-Ching Chen
48 papers receiving 1.3k citations
Li-Ching Chen's Hit Papers
Peers
Comparison fields: 5 of 152
- Health Informatics 176
- Biochemistry 54
- Radiology, Nuclear Medicine and Imaging 153
- Health Information Management 27
- Cancer Research 75
Countries citing papers authored by Li-Ching Chen
This map shows the geographic impact of Li-Ching 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 Li-Ching Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Ching Chen more than expected).
Fields of papers citing papers by Li-Ching Chen
This network shows the impact of papers produced by Li-Ching 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 Li-Ching Chen. The network helps show where Li-Ching Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Ching 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI recognition of patient race in medical imaging: a modelling study Hit paper breakdown → | 2022 | 387 |
| 2 | 2010 | 107 | |
| 3 | 2022 | 100 | |
| 4 | 2018 | 97 | |
| 5 | 2016 | 84 | |
| 6 | 2017 | 66 | |
| 7 | 2021 | 52 | |
| 8 | 2009 | 35 | |
| 9 | 2009 | 34 | |
| 10 | 2021 | 23 | |
| 11 | 2012 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 1968 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2012 | 14 |
About Li-Ching Chen
Li-Ching Chen is a scholar working on Molecular Biology, Statistics and Probability, Oncology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Fungal Biology and Applications (3 papers), HER2/EGFR in Cancer Research (3 papers), Prenatal Screening and Diagnostics (3 papers), Cancer Genomics and Diagnostics (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Health Informatics (176 citations), Biochemistry (54 citations), Radiology, Nuclear Medicine and Imaging (153 citations), Health Information Management (27 citations) and Cancer Research (75 citations). Li-Ching Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yuan‐Soon Ho, Shih‐Hsin Tu, Leo Anthony Celi, Armand R. J. Girbes, Christopher Martin Sauer, Paul Elbers, Chih‐Hsiung Wu, Ying‐Jan Wang, Shuo‐Jye Wu and Chun‐Tao Chang. Their work appears in journals such as Journal of Food and Drug Analysis, ACS Nano, Food Science and Human Wellness, The Lancet Digital Health and Molecular Pharmaceutics.
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.