Yingcheng Sun

449 total citations
27 papers, 241 citations indexed

About

Yingcheng Sun is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Yingcheng Sun has authored 27 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Yingcheng Sun's work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (7 papers) and Genomics and Rare Diseases (5 papers). Yingcheng Sun is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (7 papers) and Genomics and Rare Diseases (5 papers). Yingcheng Sun collaborates with scholars based in United States and China. Yingcheng Sun's 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 and has published in prestigious journals such as Journal of the American Medical Informatics Association, Scientific Data and International Journal of Medical Informatics.

In The Last Decade

Yingcheng Sun

25 papers receiving 238 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yingcheng Sun United States 9 96 50 35 33 25 27 241
Lorenz A. Kapsner Germany 10 59 0.6× 47 0.9× 24 0.7× 18 0.5× 16 0.6× 29 260
Sophie Anne Inès Klopfenstein Germany 7 52 0.5× 33 0.7× 25 0.7× 25 0.8× 32 1.3× 20 242
Deepika Gopukumar United States 4 97 1.0× 66 1.3× 22 0.6× 27 0.8× 10 0.4× 6 318
Blagoj Ristevski North Macedonia 5 52 0.5× 55 1.1× 18 0.5× 32 1.0× 15 0.6× 22 266
Thomas Gallagher United States 6 170 1.8× 39 0.8× 31 0.9× 20 0.6× 9 0.4× 14 332
Dennis Toddenroth Germany 11 160 1.7× 110 2.2× 50 1.4× 79 2.4× 15 0.6× 30 448
Grahame Grieve United States 7 83 0.9× 81 1.6× 33 0.9× 30 0.9× 12 0.5× 9 272
Cheng Chun Lee Taiwan 8 136 1.4× 58 1.2× 13 0.4× 17 0.5× 18 0.7× 19 335
Andre Quina United States 4 147 1.5× 36 0.7× 27 0.8× 17 0.5× 8 0.3× 7 265
Duane Bender Canada 3 95 1.0× 61 1.2× 31 0.9× 53 1.6× 15 0.6× 5 322

Countries citing papers authored by Yingcheng Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
McGuirt, Jared T., Elizabeth Anderson Steeves, Jeffrey D. Labban, et al.. (2024). Multi-Method Formative Evaluation of a Digital Online Grocery Shopping Assistant Among Special Supplemental Nutrition Program for Women, Infants, and Children Participants. Journal of Nutrition Education and Behavior. 56(8). 556–568.
2.
Kang, Tian, Yingcheng Sun, Jae Hyun Kim, et al.. (2023). EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension. Journal of the American Medical Informatics Association. 30(6). 1022–1031. 9 indexed citations
3.
Idnay, Betina, Yingcheng Sun, Hao Liu, et al.. (2022). Combining human and machine intelligence for clinical trial eligibility querying. Journal of the American Medical Informatics Association. 29(7). 1161–1171. 17 indexed citations
4.
Lee, Jung Hwan, Cong Liu, Yingcheng Sun, et al.. (2022). Deep learning for rare disease: A scoping review. Journal of Biomedical Informatics. 135. 104227–104227. 37 indexed citations
5.
Liu, Hao, et al.. (2021). A knowledge base of clinical trial eligibility criteria. Journal of Biomedical Informatics. 117. 103771–103771. 25 indexed citations
6.
Sun, Yingcheng, Latoya A. Stewart, Hao Liu, et al.. (2021). Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. Journal of Biomedical Informatics. 118. 103790–103790. 8 indexed citations
7.
Kim, Jae Hyun, et al.. (2021). The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials. International Journal of Medical Informatics. 156. 104587–104587.
8.
Sun, Yingcheng, Ibrahim Diallo, Jae Hyun Kim, et al.. (2021). A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data. Applied Clinical Informatics. 12(4). 816–825. 5 indexed citations
9.
Liu, Hao, Fabrício S. P. Kury, Chi Yuan, et al.. (2021). A Comparison between Human and NLP-based Annotation of Clinical Trial Eligibility Criteria Text Using The OMOP Common Data Model.. PubMed. 2021. 394–403. 2 indexed citations
10.
Sun, Yingcheng, Fei Guo, Farhad Kaffashi, et al.. (2020). INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit. Journal of Biomedical Informatics. 106. 103434–103434. 30 indexed citations
11.
Kury, Fabrício S. P., Chi Yuan, Yingcheng Sun, et al.. (2020). Chia, a large annotated corpus of clinical trial eligibility criteria. Scientific Data. 7(1). 281–281. 26 indexed citations
12.
Sun, Yingcheng, Hao Liu, Latoya A. Stewart, et al.. (2020). The COVID-19 Trial Finder. Journal of the American Medical Informatics Association. 28(3). 616–621. 3 indexed citations
13.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Context Aware Image Annotation in Multiple-Instance Active Learning.. 251–262. 1 indexed citations
14.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Knowledge-guided Text Structuring in Clinical Trials.. arXiv (Cornell University). 211–219. 4 indexed citations
15.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Information Extraction from Free Text in Clinical Trials with Knowledge-Based Distant Supervision. 954–955. 8 indexed citations
16.
Sun, Yingcheng, et al.. (2019). A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer.. 185–196. 3 indexed citations
17.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Opinion Spam Detection Based on Heterogeneous Information Network. 1156–1163. 15 indexed citations
18.
Sun, Yingcheng, et al.. (2019). Learning - based Adaptation Framework for Elastic Software Systems. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2019. 281–286. 5 indexed citations
19.
Li, Qingshan, et al.. (2012). Ontology based user personalization mechanism in meta search engine. 16. 230–234. 6 indexed citations
20.
Sun, Yingcheng & Qingshan Li. (2012). The research situation and prospect analysis of meta-search engines. 26. 224–229. 5 indexed citations

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.

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Breakdown of academic impact, for papers by Lorenz A. Kapsner Breakdown of academic impact, for papers by Sophie Anne Inès Klopfenstein Breakdown of academic impact, for papers by Deepika Gopukumar Breakdown of academic impact, for papers by Blagoj Ristevski Breakdown of academic impact, for papers by Thomas Gallagher Breakdown of academic impact, for papers by Dennis Toddenroth Breakdown of academic impact, for papers by Grahame Grieve Breakdown of academic impact, for papers by Cheng Chun Lee Breakdown of academic impact, for papers by Andre Quina Breakdown of academic impact, for papers by Duane Bender
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