Tianchen Lyu

536 total citations
22 papers, 252 citations indexed

About

Tianchen Lyu is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Tianchen Lyu has authored 22 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Health Information Management. Recurrent topics in Tianchen Lyu's work include Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (5 papers). Tianchen Lyu is often cited by papers focused on Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (5 papers). Tianchen Lyu collaborates with scholars based in United States, China and Hong Kong. Tianchen Lyu's co-authors include Jiang Bian, Yonghui Wu, Xi Yang, Yi Guo, William R. Hogan, Qian Li, Mattia Prosperi, Elizabeth Shenkman, Hui Hu and Xing He and has published in prestigious journals such as The Science of The Total Environment, Journal of Affective Disorders and Journal of the American Medical Informatics Association.

In The Last Decade

Tianchen Lyu

21 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianchen Lyu United States 8 89 49 43 37 32 22 252
Aditi Gupta United States 10 80 0.9× 38 0.8× 21 0.5× 61 1.6× 22 0.7× 18 280
Derek Corrigan Ireland 8 41 0.5× 73 1.5× 19 0.4× 30 0.8× 39 1.2× 20 265
Cláudia Maria Cabral Moro Brazil 8 144 1.6× 34 0.7× 20 0.5× 18 0.5× 80 2.5× 61 299
Maryam Y. Garza United States 8 85 1.0× 104 2.1× 27 0.6× 40 1.1× 52 1.6× 33 293
Anita Walden United States 9 66 0.7× 77 1.6× 19 0.4× 30 0.8× 59 1.8× 21 265
Zahra Daar United States 6 94 1.1× 75 1.5× 10 0.2× 69 1.9× 36 1.1× 13 267
Evan Minty Canada 9 113 1.3× 62 1.3× 13 0.3× 33 0.9× 69 2.2× 21 296
Chris Knoll United States 4 41 0.5× 33 0.7× 9 0.2× 30 0.8× 36 1.1× 4 260
Archana Tapuria United Kingdom 6 106 1.2× 96 2.0× 22 0.5× 13 0.4× 100 3.1× 18 299
Philipp Bruland Germany 12 51 0.6× 81 1.7× 40 0.9× 27 0.7× 86 2.7× 32 427

Countries citing papers authored by Tianchen Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Tianchen Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianchen Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianchen Lyu. A scholar is included among the top collaborators of Tianchen Lyu 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 Tianchen Lyu. Tianchen Lyu 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.
Lyu, Tianchen, Meng Luo, & Haili Hu. (2024). Nomogram for predicting 10-year postoperative recurrence of stage I gastric cancer. Translational Cancer Research. 13(10). 5497–5508. 1 indexed citations
2.
Yang, Shuang, Xi Yang, Tianchen Lyu, et al.. (2024). Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. PubMed. 8(3). 463–477. 5 indexed citations
3.
Lyu, Tianchen, William T. Donahoo, Yonghui Wu, et al.. (2023). The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. Journal of the American Medical Informatics Association. 31(1). 165–173. 1 indexed citations
4.
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
5.
Yan, Sandra C., Kaitlyn Melnick, Xing He, et al.. (2023). Developing a computable phenotype for glioblastoma. Neuro-Oncology. 26(6). 1163–1170. 1 indexed citations
6.
Zhan, Yongle, Yimin Qu, Yingjie Shi, et al.. (2022). Longitudinal association of maternal dietary patterns with antenatal depression: Evidence from the Chinese Pregnant Women Cohort Study. Journal of Affective Disorders. 308. 587–595. 4 indexed citations
7.
Zhang, Hansi, Tianchen Lyu, Pengfei Yin, et al.. (2022). A scoping review of semantic integration of health data and information. International Journal of Medical Informatics. 165. 104834–104834. 7 indexed citations
8.
Yang, Xi, Tianchen Lyu, Xing He, et al.. (2022). A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. PubMed. 2022. 618–619. 1 indexed citations
9.
Fishe, Jennifer N., Yi Zheng, Tianchen Lyu, Jiang Bian, & Hui Hu. (2021). Environmental effects on acute exacerbations of respiratory diseases: A real-world big data study. The Science of The Total Environment. 806(Pt 1). 150352–150352. 10 indexed citations
10.
Lyu, Tianchen, Yunli Chen, Yongle Zhan, et al.. (2021). Cohort profile: the Chinese Pregnant Women Cohort Study and Offspring Follow-up (CPWCSaOF). BMJ Open. 11(3). e044933–e044933. 4 indexed citations
11.
Marra, David E., Katharina M. Busl, Christopher P. Robinson, et al.. (2021). Examination of Early CNS Symptoms and Severe Coronavirus Disease 2019: A Multicenter Observational Case Series. Critical Care Explorations. 3(6). e0456–e0456. 1 indexed citations
12.
Guo, Yi, Yahan Zhang, Tianchen Lyu, et al.. (2021). The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. Journal of the American Medical Informatics Association. 28(9). 2050–2067. 27 indexed citations
13.
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
14.
Duan, Rui, Zhaoyi Chen, Jiayi Tong, et al.. (2020). Leverage Real-world Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).. PubMed. 2020. 393–401. 4 indexed citations
15.
Guo, Yi, Xing He, Tianchen Lyu, et al.. (2020). Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.. PubMed. 2020. 514–523. 11 indexed citations
16.
Tong, Jiayi, Zhaoyi Chen, Rui Duan, et al.. (2020). Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.. PubMed. 2020. 1220–1229. 5 indexed citations
17.
Bian, Jiang, Tianchen Lyu, Gloria Lipori, et al.. (2020). Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data. Journal of the American Medical Informatics Association. 27(12). 1999–2010. 51 indexed citations
18.
Zhan, Yongle, et al.. (2020). [Feasibility on the development of maternal and child cohorts, based on the maternal and child care network].. PubMed. 41(4). 605–610. 1 indexed citations
19.
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
20.
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

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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