Xi Yang

3.1k total citations · 1 hit paper
59 papers, 1.6k citations indexed

About

Xi Yang is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xi Yang has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xi Yang's work include Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (15 papers) and Machine Learning in Healthcare (13 papers). Xi Yang is often cited by papers focused on Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (15 papers) and Machine Learning in Healthcare (13 papers). Xi Yang collaborates with scholars based in United States, China and Netherlands. Xi Yang's co-authors include Jiang Bian, Yonghui Wu, William R. Hogan, Yi Guo, Aokun Chen, Elizabeth Shenkman, Anthony Costa, Mona G. Flores, Tanja Magoč and Cheryl Martin and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cell Death and Disease and Journal of the American Medical Informatics Association.

In The Last Decade

Xi Yang

57 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A large language model for electronic health records

2022 434 citations Xi Yang, Aokun Chen et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xi Yang United States	19	760	338	294	169	160	59	1.6k
Matthew B. A. McDermott United States	12	1.0k 1.4×	421 1.2×	327 1.1×	316 1.9×	154 1.0×	23	1.6k
Sunyang Fu United States	18	521 0.7×	233 0.7×	259 0.9×	115 0.7×	139 0.9×	86	1.1k
Brett K. Beaulieu‐Jones United States	16	624 0.8×	266 0.8×	167 0.6×	191 1.1×	170 1.1×	33	1.4k
Shyam Visweswaran United States	23	721 0.9×	226 0.7×	499 1.7×	200 1.2×	243 1.5×	129	1.9k
Jason Fries United States	16	874 1.1×	266 0.8×	156 0.5×	162 1.0×	146 0.9×	41	1.4k
Suzanne Tamang United States	14	492 0.6×	374 1.1×	143 0.5×	168 1.0×	166 1.0×	66	1.4k
Sungrim Moon United States	17	755 1.0×	155 0.5×	532 1.8×	92 0.5×	215 1.3×	48	1.2k
Emily Alsentzer United States	9	827 1.1×	255 0.8×	333 1.1×	134 0.8×	109 0.7×	22	1.2k
Kavishwar B. Wagholikar United States	20	596 0.8×	96 0.3×	461 1.6×	110 0.7×	283 1.8×	62	1.3k

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-authorship network of co-authors of Xi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Yang. A scholar is included among the top collaborators of Xi Yang 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 Xi Yang. Xi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2024). Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. Journal of the American Medical Informatics Association. 31(9). 1892–1903. 10 indexed citations

Cheng, Peng, Xi Yang, Kaleb E Smith, et al.. (2024). Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. Journal of Biomedical Informatics. 153. 104630–104630. 26 indexed citations

Yu, Zehao, Peng Cheng, Xi Yang, et al.. (2024). Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. Journal of Biomedical Informatics. 153. 104642–104642. 12 indexed citations

Sun, Bo, Zeyu Wu, Xi Yang, et al.. (2024). A Multisource Uncertainty Fusion Reliability Evaluation Method for the Control Rod Drive Mechanism of Nuclear Power Plants. International Journal of Energy Research. 2024(1). 1 indexed citations

Ma, Zongwei, et al.. (2024). Low-frequency constrained seismic impedance inversion combining large kernel attention and long short-term memory. Acta Geophysica. 72(6). 4045–4062. 1 indexed citations

Cheng, Peng, Xi Yang, Zehao Yu, et al.. (2023). Clinical concept and relation extraction using prompt-based machine reading comprehension. Journal of the American Medical Informatics Association. 30(9). 1486–1493. 17 indexed citations

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2023). A study of generative large language model for medical research and healthcare. npj Digital Medicine. 6(1). 210–210. 186 indexed citations

Li, Qian, Xi Yang, Jie Xu, et al.. (2023). Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records. Alzheimer s & Dementia. 19(8). 3506–3518. 51 indexed citations

Wu, Yonghui, Xi Yang, Heather Morris, et al.. (2022). Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores. JMIR Medical Informatics. 10(6). e36997–e36997. 9 indexed citations

10.

Yu, Zehao, et al.. (2022). Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. BMC Medical Informatics and Decision Making. 22(S3). 255–255. 8 indexed citations

11.

Yu, Zehao, Xi Yang, Yi Guo, Jiang Bian, & Yonghui Wu. (2022). Assessing the Documentation of Social Determinants of Health for Lung Cancer Patients in Clinical Narratives. Frontiers in Public Health. 10. 778463–778463. 15 indexed citations

12.

Yang, Xi, Aokun Chen, Kaleb E Smith, et al.. (2022). A large language model for electronic health records. npj Digital Medicine. 5(1). 194–194. 434 indexed citations breakdown →

13.

Wu, Xiaohui, Jianqiang Ye, Xi Yang, et al.. (2021). LDHA mediated degradation of extracellular matrix is a potential target for the treatment of aortic dissection. Pharmacological Research. 176. 106051–106051. 28 indexed citations

14.

Yang, Xi, et al.. (2020). Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models. JMIR Medical Informatics. 8(11). e19735–e19735. 30 indexed citations

15.

Yang, Xi, Hansi Zhang, Xing He, Jiang Bian, & Yonghui Wu. (2020). Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models. JMIR Medical Informatics. 8(12). e22982–e22982. 18 indexed citations

16.

Yang, Xi, Tianchen Lyu, Shuang Yang, et al.. (2020). A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. PubMed. 2020. 1–2. 8 indexed citations

17.

He, Xing, Rui Zhang, Rubina Rizvi, et al.. (2019). ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics and Decision Making. 19(S4). 150–150. 21 indexed citations

18.

Yang, Xi, Tianchen Lyu, Qian Li, et al.. (2019). A study of deep learning methods for de-identification of clinical notes in cross-institute settings. BMC Medical Informatics and Decision Making. 19(S5). 232–232. 48 indexed citations

19.

Yang, Xi, et al.. (2019). A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. PubMed. 2019. 1–3. 10 indexed citations

20.

Zhao, Yunpeng, Yi Guo, Xing He, et al.. (2018). Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. PubMed. 2018. 51–52. 11 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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