Xi Yang

3.1k citations
59 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

    • Topic Modeling 18
    • Machine Learning in Healthcare 13
    • Natural Language Processing Techniques 7
    • Advanced Text Analysis Techniques 4
    • Biomedical Text Mining and Ontologies 15

Xi Yang

57 papers receiving 1.5k citations

Xi Yang's Hit Papers

A large language model for electronic health records 2022 · 434 citations
4340+1+2Years since publication100200300400

Peers

Xi Yang
Comparison fields: 5 of 157
  • Health Informatics 338
  • Health Information Management 160
  • Artificial Intelligence 760
  • Toxicology 36
  • Management Science and Operations Research 98
Replace Shyam Visweswaran with:
Shyam Visweswaran United States
Dmitriy Dligach United States
Suzanne Tamang United States
Kirk Roberts United States
Vasa Ćurčin United Kingdom
Matthew B. A. McDermott United States
Wei‐Qi Wei United States
Jenna Reps United States
Hercules Dalianis Sweden
Tristan Naumann United States
Xi Yang relative to Shyam Visweswaran United States Shyam Visweswaran's profile →
Citations per field
00.5×3.6×
Shyam Visweswaran · 1×
Citations per year

Countries citing papers authored by Xi Yang

Since Specialization
Citations

This map shows the geographic impact of Xi Yang'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 Xi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Yang more than expected).

Fields of papers citing papers by Xi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi Yang. 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 Xi Yang. The network helps show where Xi Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Xi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xi Yang Line = papers co-authored together Xi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A large language model for electronic health records
Hit paper breakdown →
2022434
2 2023186
3 202087
4 202079
5 202062
6 201952
7 202351
8 201950
9 201948
10 201144
11 201939
12 202030
13 202128
14 202426
15 201921
16 202321
17
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
201820
18 202018
19 202118
20 202317

About Xi Yang

Xi Yang is a scholar working on Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Ocean Engineering, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (15 papers), Machine Learning in Healthcare (13 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (4 papers), Dementia and Cognitive Impairment Research (3 papers), Food Security and Health in Diverse Populations (2 papers) and Mental Health via Writing (2 papers). The work is most often cited by research in Health Informatics (338 citations), Health Information Management (160 citations), Artificial Intelligence (760 citations), Toxicology (36 citations) and Management Science and Operations Research (98 citations). Xi Yang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jiang Bian, Yonghui Wu, William R. Hogan, Yi Guo, Aokun Chen, Elizabeth Shenkman, Mona G. Flores, Anthony Costa, Tanja Magoč and Gloria Lipori. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, npj Digital Medicine and Alzheimer s & Dementia.

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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