Lionel Tim‐Ee Cheng
- Radiology, Nuclear Medicine and Imaging top 10%
- Infectious Diseases
- Health Informatics top 2%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Bradley J. EricksonJiaping ZhengGuergana SavovaBien Soo TanRobert Chun ChenDaniel J. BlezekXiaojiang YangLi Yang Hsu
- Topics
- COVID-19 diagnosis using AI (6 papers)Artificial Intelligence in Healthcare and Education (5 papers)Radiology practices and education (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Computational Physics
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Lionel Tim‐Ee Cheng
30 papers receiving 442 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 164
- Infectious Diseases 98
- Health Informatics 79
- Biomedical Engineering 77
- Artificial Intelligence 69
Countries citing papers authored by Lionel Tim‐Ee Cheng
This map shows the geographic impact of Lionel Tim‐Ee Cheng'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 Lionel Tim‐Ee Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Tim‐Ee Cheng more than expected).
Fields of papers citing papers by Lionel Tim‐Ee Cheng
This network shows the impact of papers produced by Lionel Tim‐Ee Cheng. 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 Lionel Tim‐Ee Cheng. The network helps show where Lionel Tim‐Ee Cheng may publish in the future.
Co-authorship network of co-authors of Lionel Tim‐Ee Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Tim‐Ee Cheng. A scholar is included among the top collaborators of Lionel Tim‐Ee Cheng 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 Lionel Tim‐Ee Cheng. Lionel Tim‐Ee Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 41 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | 90 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 56 | |
| 19 | 78 | |
| 20 | 6 |
About Lionel Tim‐Ee Cheng
Lionel Tim‐Ee Cheng is a scholar working on Health Informatics, General Dentistry and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 453 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Radiology practices and education (5 papers). The work is most often cited by research in Health Informatics (79 citations), General Dentistry (27 citations) and Radiology, Nuclear Medicine and Imaging (164 citations). Lionel Tim‐Ee Cheng has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Bradley J. Erickson, Jiaping Zheng, Guergana Savova, Bien Soo Tan, Robert Chun Chen, Daniel J. Blezek, Xiaojiang Yang, Li Yang Hsu, Yukti Choudhury and Kian Sing Chan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational Physics.
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.