Can Lai
Impact in
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 3
- Surgery 10
- Co-authors
- Dan Wu (9 shared papers)Hongxi Zhang (10 shared papers)Chengguo Hu (1 shared paper)Yi Zhang (5 shared papers)Jiaojiao Sun (1 shared paper)Quan Wang (1 shared paper)Junfen Fu (6 shared papers)Hongxi Zhang (4 shared papers)
- Journals
- Scientific Reports (2 papers)European Radiology (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Infection and Drug Resistance (1 paper)NeuroImage (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Can Lai
41 papers receiving 322 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 81
- Oral Surgery 15
- Archeology 20
- Safety, Risk, Reliability and Quality 18
Countries citing papers authored by Can Lai
This map shows the geographic impact of Can Lai'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 Can Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Lai more than expected).
Fields of papers citing papers by Can Lai
This network shows the impact of papers produced by Can Lai. 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 Can Lai. The network helps show where Can Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Lai, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 35 | |
| 2 | 2019 | 34 | |
| 3 | 2020 | 32 | |
| 4 | 2022 | 25 | |
| 5 | 2010 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Can Lai
Can Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pediatrics, Perinatology and Child Health, Epidemiology and Neurology, having authored 51 papers that have together received 331 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neuroblastoma Research and Treatments (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Oral Surgery (15 citations), Archeology (20 citations) and Safety, Risk, Reliability and Quality (18 citations). Can Lai has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Dan Wu, Hongxi Zhang, Chengguo Hu, Yi Zhang, Jiaojiao Sun, Quan Wang, Junfen Fu, Hongxi Zhang, Xiaoxia Shen and Xuan Jia. Their work appears in journals such as Scientific Reports, European Radiology, Journal of Magnetic Resonance Imaging, Infection and Drug Resistance and NeuroImage.
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.