Ying Sheng
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Hematology top 10%
- Statistics and Probability top 10%
- Topics
- Advanced Numerical Methods in Computational Mathematics (5 papers)Statistical Methods and Inference (5 papers)Fractional Differential Equations Solutions (4 papers)
- Journals
- BloodTechnometricsBiometrics
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ying Sheng
47 papers receiving 536 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 247
- Cancer Research 182
- Oncology 117
- Hematology 79
- Statistics and Probability 36
Countries citing papers authored by Ying Sheng
This map shows the geographic impact of Ying Sheng'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 Ying Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Sheng more than expected).
Fields of papers citing papers by Ying Sheng
This network shows the impact of papers produced by Ying Sheng. 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 Ying Sheng. The network helps show where Ying Sheng may publish in the future.
Co-authorship network of co-authors of Ying Sheng
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Sheng. A scholar is included among the top collaborators of Ying Sheng 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 Ying Sheng. Ying Sheng 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 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 79 | |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | Motion stable control for cable-driven parallel camera robots with high speeds | 2 |
| 15 | 0 | |
| 16 | 1 | |
| 17 | Reliability-based optimization of structures with fuzzy and interval variables | 1 |
| 18 | Post-Earthquake Reconstruction: Towards a Much More Participatory Planning | 4 |
| 19 | Tendency and Driving Forces of Cultivated Land Use Change in the Lower Valley of Hanjiang River: the Case of Shantou City | 1 |
| 20 | Assessment of Accident Prevention Effect of Fixed Speed Camera | 1 |
About Ying Sheng
Ying Sheng is a scholar working on Geriatrics and Gerontology, Modeling and Simulation and Statistics and Probability, having authored 54 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (5 papers), Statistical Methods and Inference (5 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Cancer Research (182 citations), Hematology (79 citations) and Geriatrics and Gerontology (26 citations). Ying Sheng has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Liyun Fu, Yaoren Hu, Ting Yao, Chiung‐Yu Huang, Qingqing Chen, Tie Zhang, Junming Guo, Tianwen Li, Thomas Martin and Zhong‐Zhong Jiang. Their work appears in journals such as Blood, Technometrics and Biometrics.
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.