Yingcheng Sun
- Artificial Intelligence top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Information Systems
- Surgery
- Co-authors
- Kenneth A. LoparoChunhua WengHao LiuChi YuanJames R. RogersWendy K. ChungFrank J. JaconoMichael DeGeorgia
- Topics
- Biomedical Text Mining and Ontologies (9 papers)Topic Modeling (7 papers)Genomics and Rare Diseases (5 papers)
- Journals
- Journal of the American Medical Informatics AssociationScientific DataInternational Journal of Medical Informatics
- Partner nations
- United StatesChina
In The Last Decade
Yingcheng Sun
25 papers receiving 238 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 96
- Molecular Biology 50
- Public Health, Environmental and Occupational Health 35
- Information Systems 33
- Surgery 25
Countries citing papers authored by Yingcheng Sun
This map shows the geographic impact of Yingcheng Sun'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 Yingcheng Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingcheng Sun more than expected).
Fields of papers citing papers by Yingcheng Sun
This network shows the impact of papers produced by Yingcheng Sun. 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 Yingcheng Sun. The network helps show where Yingcheng Sun may publish in the future.
Co-authorship network of co-authors of Yingcheng Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yingcheng Sun. A scholar is included among the top collaborators of Yingcheng Sun 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 Yingcheng Sun. Yingcheng Sun 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 | 9 | |
| 3 | 17 | |
| 4 | 37 | |
| 5 | 25 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | A Comparison between Human and NLP-based Annotation of Clinical Trial Eligibility Criteria Text Using The OMOP Common Data Model. | 2 |
| 10 | 30 | |
| 11 | 26 | |
| 12 | 3 | |
| 13 | Context Aware Image Annotation in Multiple-Instance Active Learning. | 1 |
| 14 | Knowledge-guided Text Structuring in Clinical Trials. | 4 |
| 15 | 8 | |
| 16 | A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer. | 3 |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 5 |
About Yingcheng Sun
Yingcheng Sun is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Information Systems, having authored 27 papers that have together received 241 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (7 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Health Informatics (21 citations), Health Information Management (23 citations) and Artificial Intelligence (96 citations). Yingcheng Sun has collaborated with scholars based in United States and China. Frequent co-authors include Kenneth A. Loparo, Chunhua Weng, Hao Liu, Chi Yuan, James R. Rogers, Wendy K. Chung, Frank J. Jacono, Michael DeGeorgia, Cong Liu and Fei Guo. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Data and International Journal of Medical Informatics.
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.