Chia‐Ju Liu
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Artificial Intelligence
- Neurology
- Co-authors
- Joseph O. DeasyRuoh‐Fang YenDarragh HalpennyJue JiangMatthew D. HellmannYu‐Chi HuG MagerasHarini Veeraraghavan
- Topics
- Intracerebral and Subarachnoid Hemorrhage Research (7 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Lung Cancer Diagnosis and Treatment (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- PLoS ONEStrokeScientific Reports
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Chia‐Ju Liu
37 papers receiving 690 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 396
- Pulmonary and Respiratory Medicine 242
- Biomedical Engineering 94
- Artificial Intelligence 87
- Neurology 77
Countries citing papers authored by Chia‐Ju Liu
This map shows the geographic impact of Chia‐Ju Liu'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 Chia‐Ju Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ju Liu more than expected).
Fields of papers citing papers by Chia‐Ju Liu
This network shows the impact of papers produced by Chia‐Ju Liu. 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 Chia‐Ju Liu. The network helps show where Chia‐Ju Liu may publish in the future.
Co-authorship network of co-authors of Chia‐Ju Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ju Liu. A scholar is included among the top collaborators of Chia‐Ju Liu 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 Chia‐Ju Liu. Chia‐Ju Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 32 | |
| 15 | 41 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 35 |
About Chia‐Ju Liu
Chia‐Ju Liu is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 39 papers that have together received 701 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (396 citations), Health Informatics (15 citations) and Pulmonary and Respiratory Medicine (242 citations). Chia‐Ju Liu has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Joseph O. Deasy, Ruoh‐Fang Yen, Darragh Halpenny, Jue Jiang, Matthew D. Hellmann, Yu‐Chi Hu, G Mageras, Harini Veeraraghavan, Wookjin Choi and Wei Lü. Their work appears in journals such as PLoS ONE, Stroke and Scientific Reports.
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.