Can Cui
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Surgery
- Rheumatology
- Topics
- AI in cancer detection (3 papers)Autonomous Vehicle Technology and Safety (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- Frontiers in PsychologyFrontiers in OncologyInternational Journal of Gynecology & Obstetrics
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Can Cui
16 papers receiving 134 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 42
- Computer Vision and Pattern Recognition 35
- Automotive Engineering 27
- Surgery 16
- Rheumatology 14
Countries citing papers authored by Can Cui
This map shows the geographic impact of Can Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Cui more than expected).
Fields of papers citing papers by Can Cui
This network shows the impact of papers produced by Can Cui. 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 Cui. The network helps show where Can Cui may publish in the future.
Co-authorship network of co-authors of Can Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Can Cui. A scholar is included among the top collaborators of Can Cui 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 Can Cui. Can Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 53 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | Optimization Simulation of XML Performance Based on JSON | 1 |
About Can Cui
Can Cui is a scholar working on Instrumentation, Automotive Engineering and Health Information Management, having authored 19 papers that have together received 136 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Automotive Engineering (27 citations), Computer Vision and Pattern Recognition (35 citations) and Artificial Intelligence (42 citations). Can Cui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yunsheng Ma, Ziran Wang, Wenqian Ye, Xu Cao, Juanwu Lu, Wen Shen, Na Li, Jianzhong Yin, Yue Cheng and Yanhong Wu. Their work appears in journals such as Frontiers in Psychology, Frontiers in Oncology and International Journal of Gynecology & Obstetrics.
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.