Ying Sha
- Artificial Intelligence top 10%
- Molecular Biology
- Health Informatics top 2%
- Epidemiology
- Health Information Management top 5%
- Topics
- Machine Learning in Healthcare (4 papers)Explainable Artificial Intelligence (XAI) (3 papers)Time Series Analysis and Forecasting (2 papers)
- Partner nations
- ChinaUnited StatesKazakhstan
In The Last Decade
Ying Sha
20 papers receiving 422 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 182
- Molecular Biology 102
- Health Informatics 57
- Epidemiology 52
- Health Information Management 49
Countries citing papers authored by Ying Sha
This map shows the geographic impact of Ying Sha'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 Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Sha more than expected).
Fields of papers citing papers by Ying Sha
This network shows the impact of papers produced by Ying Sha. 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 Sha. The network helps show where Ying Sha may publish in the future.
Co-authorship network of co-authors of Ying Sha
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Sha. A scholar is included among the top collaborators of Ying Sha 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 Sha. Ying Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 84 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 49 | |
| 13 | 75 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 81 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | Algorithm of Direct Multi-string Matching to Anti-spam | 1 |
About Ying Sha
Ying Sha is a scholar working on Health Informatics, Signal Processing and Artificial Intelligence, having authored 21 papers that have together received 430 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Health Informatics (57 citations), Health Information Management (49 citations) and Family Practice (15 citations). Ying Sha has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include May D. Wang, John H. Phan, Mohammed Saqib, Tong Li, Monica Isgut, Yuanda Zhu, Felipe Giuste, Wenqi Shi, Hongyuan Ma and Janani Venugopalan. Their work appears in journals such as Journal of Pharmaceutical Sciences, Medicine and Journal of Non-Crystalline Solids.
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.