Shuang Leng
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Surgery
- Co-authors
- Liang ZhongXiaodan ZhaoRu‐San TanJohn Carson AllenAngela S. KohJu Le TanGhassan S. KassabJunmei Zhang
- Topics
- Cardiovascular Function and Risk Factors (26 papers)Cardiac Imaging and Diagnostics (11 papers)Congenital Heart Disease Studies (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Scientific ReportsEnergyFuel
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Shuang Leng
39 papers receiving 527 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 404
- Radiology, Nuclear Medicine and Imaging 192
- Pulmonary and Respiratory Medicine 126
- Epidemiology 77
- Surgery 57
Countries citing papers authored by Shuang Leng
This map shows the geographic impact of Shuang Leng'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 Shuang Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Leng more than expected).
Fields of papers citing papers by Shuang Leng
This network shows the impact of papers produced by Shuang Leng. 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 Shuang Leng. The network helps show where Shuang Leng may publish in the future.
Co-authorship network of co-authors of Shuang Leng
This figure shows the co-authorship network connecting the top 25 collaborators of Shuang Leng. A scholar is included among the top collaborators of Shuang Leng 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 Shuang Leng. Shuang Leng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 24 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 51 | |
| 16 | 18 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 33 | |
| 20 | 32 |
About Shuang Leng
Shuang Leng is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Fluid Flow and Transfer Processes, having authored 44 papers that have together received 530 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (26 papers), Cardiac Imaging and Diagnostics (11 papers) and Congenital Heart Disease Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (404 citations), Radiology, Nuclear Medicine and Imaging (192 citations) and Pulmonary and Respiratory Medicine (126 citations). Shuang Leng has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Liang Zhong, Xiaodan Zhao, Ru‐San Tan, John Carson Allen, Angela S. Koh, Ju Le Tan, Ghassan S. Kassab, Junmei Zhang, Boyang Su and James Yip. Their work appears in journals such as Scientific Reports, Energy and Fuel.
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.