Wenyan Xiao

410 total citations
27 papers, 216 citations indexed

About

Wenyan Xiao is a scholar working on Epidemiology, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Wenyan Xiao has authored 27 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 6 papers in Surgery and 6 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Wenyan Xiao's work include Sepsis Diagnosis and Treatment (13 papers), Intensive Care Unit Cognitive Disorders (5 papers) and Hemodynamic Monitoring and Therapy (5 papers). Wenyan Xiao is often cited by papers focused on Sepsis Diagnosis and Treatment (13 papers), Intensive Care Unit Cognitive Disorders (5 papers) and Hemodynamic Monitoring and Therapy (5 papers). Wenyan Xiao collaborates with scholars based in China. Wenyan Xiao's co-authors include Jin Zhang, Tianfeng Hua, Min Yang, Yu Liu, Wanjun Liu, Yijun Zhang, Tao Gan, Yu Liu, Min Yang and Meng Ling and has published in prestigious journals such as Critical Care Medicine, Frontiers in Immunology and Frontiers in Pharmacology.

In The Last Decade

Wenyan Xiao

20 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyan Xiao China 9 112 45 39 32 31 27 216
Trung Kien Dang Singapore 3 78 0.7× 57 1.3× 45 1.2× 15 0.5× 9 0.3× 5 190
Elizabeth DeVos United States 10 84 0.8× 54 1.2× 28 0.7× 31 1.0× 11 0.4× 25 258
Takashi Shimazui Japan 10 112 1.0× 59 1.3× 48 1.2× 40 1.3× 6 0.2× 23 288
Changjie Cai China 10 134 1.2× 38 0.8× 26 0.7× 36 1.1× 8 0.3× 35 290
Benedetta Perna Italy 6 102 0.9× 45 1.0× 42 1.1× 27 0.8× 11 0.4× 20 199
Michael C. Cox United States 10 162 1.4× 53 1.2× 145 3.7× 63 2.0× 22 0.7× 13 337
Shuoyan Ning Canada 10 59 0.5× 41 0.9× 44 1.1× 18 0.6× 9 0.3× 24 306
Sofie Louise Rygård Denmark 7 166 1.5× 42 0.9× 94 2.4× 44 1.4× 71 2.3× 15 282
Yohei Komaru Japan 11 46 0.4× 75 1.7× 49 1.3× 33 1.0× 29 0.9× 38 333

Countries citing papers authored by Wenyan Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Wenyan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyan Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyan Xiao. A scholar is included among the top collaborators of Wenyan Xiao 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 Wenyan Xiao. Wenyan Xiao 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.
Hu, Jia, et al.. (2025). Identification and Evaluation of Lipocalin-2 in Sepsis-Associated Encephalopathy via Machine Learning Approaches. Journal of Inflammation Research. Volume 18. 3843–3858.
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Hua, Tianfeng, Minjie Wang, Yijun Zhang, et al.. (2024). Shenfu injection alleviate gut ischemia/reperfusion injury after severe hemorrhagic shock through improving intestinal microcirculation in rats. Heliyon. 10(11). e31377–e31377. 3 indexed citations
5.
Xiao, Wenyan, et al.. (2024). Development and validation of potential phenotypes of serum electrolyte disturbances in critically ill patients and a Web-based application. Journal of Critical Care. 82. 154793–154793. 1 indexed citations
6.
Zeng, Jinshan, et al.. (2024). InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19497–19505.
7.
Wei, Jian, Siying Liu, Jian Gao, et al.. (2024). Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis. BMC Infectious Diseases. 24(1). 442–442. 8 indexed citations
8.
Zhou, Shi, Yu Liu, Minjie Wang, et al.. (2024). Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation. European journal of medical research. 29(1). 14–14. 20 indexed citations
9.
Xiao, Wenyan, Wanjun Liu, Jin Zhang, et al.. (2023). Early persistent exposure to high CVP is associated with increased mortality and AKI in septic shock: A retrospective study. The American Journal of Emergency Medicine. 74. 146–151. 5 indexed citations
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Zhang, Jin, et al.. (2023). Machine learning-derived blood culture classification with both predictive and prognostic values in the intensive care unit: A retrospective cohort study. Intensive and Critical Care Nursing. 80. 103549–103549. 3 indexed citations
12.
Xiao, Wenyan, Wanjun Liu, Jin Zhang, et al.. (2022). The association of diastolic arterial pressure and heart rate with mortality in septic shock: a retrospective cohort study. European journal of medical research. 27(1). 285–285. 14 indexed citations
13.
Liu, Wanjun, Tao Gan, Yijun Zhang, et al.. (2022). A Simple Weaning Model Based on Interpretable Machine Learning Algorithm for Patients With Sepsis: A Research of MIMIC-IV and eICU Databases. Frontiers in Medicine. 8. 814566–814566. 16 indexed citations
14.
Gan, Tao, Xiaoyu Sun, Yijun Zhang, et al.. (2022). Association of Blood Glucose Level and Glycemic Variability With Mortality in Sepsis Patients During ICU Hospitalization. Frontiers in Public Health. 10. 857368–857368. 51 indexed citations
15.
Zhang, Jin, et al.. (2022). A Nomogram With Six Variables Is Useful to Predict the Risk of Acquiring Carbapenem-Resistant Microorganism Infection in ICU Patients. Frontiers in Cellular and Infection Microbiology. 12. 852761–852761. 8 indexed citations
16.
Zhu, Xingxing, Tianfeng Hua, Jin Zhang, et al.. (2021). Efficacy and safety of abdominal paracentesis drainage on patients with acute pancreatitis: a systematic review and meta-analysis. BMJ Open. 11(8). e045031–e045031. 11 indexed citations
17.
Zhang, Jin, et al.. (2021). Development of a Nomogram to Predict 28-Day Mortality of Patients With Sepsis-Induced Coagulopathy: An Analysis of the MIMIC-III Database. Frontiers in Medicine. 8. 661710–661710. 32 indexed citations
18.
Zhang, Jin, et al.. (2020). Efficacy and Safety of Recombinant Human Thrombopoietin on Sepsis Patients With Thrombocytopenia: A Systematic Review and Meta-Analysis. Frontiers in Pharmacology. 11. 940–940. 9 indexed citations
19.
Xiao, Wenyan, et al.. (2017). Corpus-based research on English word recognition rates in primary school and word selection strategy. Frontiers of Information Technology & Electronic Engineering. 18(3). 362–372. 1 indexed citations
20.
Chen, Ming, et al.. (2011). Determination of DNA Methylation of Imprinted Genes in <em>Arabidopsis</em> Endosperm. Journal of Visualized Experiments. 1 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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