Rugang Liu

777 total citations
24 papers, 393 citations indexed

About

Rugang Liu is a scholar working on Health, Cardiology and Cardiovascular Medicine and Modeling and Simulation. According to data from OpenAlex, Rugang Liu has authored 24 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Modeling and Simulation. Recurrent topics in Rugang Liu's work include Vaccine Coverage and Hesitancy (8 papers), ECG Monitoring and Analysis (4 papers) and COVID-19 epidemiological studies (4 papers). Rugang Liu is often cited by papers focused on Vaccine Coverage and Hesitancy (8 papers), ECG Monitoring and Analysis (4 papers) and COVID-19 epidemiological studies (4 papers). Rugang Liu collaborates with scholars based in China, Australia and United Kingdom. Rugang Liu's co-authors include Stephen Nicholas, Elizabeth Maitland, Anli Leng, Jian Wang, Siyuan Wang, Jian Wang, Hongyu Zhao, Qingzhen Hou, Lu Li and Knut Reidar Wangen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Critical Care Medicine and Expert Systems with Applications.

In The Last Decade

Rugang Liu

21 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rugang Liu China 8 271 165 113 63 53 24 393
Blanche-Philomene Melanga Anya Republic of the Congo 8 238 0.9× 149 0.9× 84 0.7× 66 1.0× 41 0.8× 18 319
Addisu Dabi Wake Ethiopia 10 201 0.7× 136 0.8× 87 0.8× 89 1.4× 62 1.2× 30 461
Natalie Pudalov United States 5 324 1.2× 220 1.3× 136 1.2× 105 1.7× 89 1.7× 6 476
Mobeen Ahmad United States 6 230 0.8× 126 0.8× 50 0.4× 96 1.5× 40 0.8× 20 302
Emily A. Harrison United States 3 263 1.0× 167 1.0× 81 0.7× 119 1.9× 61 1.2× 5 371
Junjie Aw Singapore 4 293 1.1× 167 1.0× 75 0.7× 123 2.0× 62 1.2× 7 355
Shafayat Sultan Bangladesh 11 176 0.6× 87 0.5× 72 0.6× 67 1.1× 59 1.1× 22 394
Zeno Di Valerio Italy 9 230 0.8× 169 1.0× 48 0.4× 75 1.2× 34 0.6× 22 337
Yoshiko Yamamoto Japan 9 137 0.5× 113 0.7× 49 0.4× 64 1.0× 32 0.6× 22 320
Hannah E. Fast United States 8 245 0.9× 192 1.2× 112 1.0× 34 0.5× 25 0.5× 12 345

Countries citing papers authored by Rugang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Rugang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rugang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Rugang Liu. A scholar is included among the top collaborators of Rugang Liu 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 Rugang Liu. Rugang Liu 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.
2.
Maitland, Elizabeth, et al.. (2025). Medical alliances and diabetes-related distress in China: role of self-efficacy as a partial mediator. International Health. 17(6). 968–977.
3.
Li, J. Y., et al.. (2024). Multiscale Joint Recurrence Quantification Analysis Integrating ECG Spatiotemporal and Dynamic Information for Cardiopathy Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 2 indexed citations
4.
Zheng, Wen, Yaping Hou, Quan Wang, et al.. (2024). Epidemiology, Process of Care, and Associated Outcomes of Pediatric Out-of-Hospital Cardiac Arrest in China: Results From a Prospective, Multicenter, Population-Based Registry. Critical Care Medicine. 52(12). e604–e615. 3 indexed citations
5.
Zheng, Wen, Chunyi Wang, Chang Pan, et al.. (2024). The development history, current state, challenges, and future directions of the BASIC-OHCA registry in China: A narrative review. Resuscitation Plus. 18. 100588–100588. 4 indexed citations
6.
Jiang, Lijun, Yuan Bian, Weikang Liu, et al.. (2023). TREATMENT OF COMATOSE SURVIVORS OF IN-HOSPITAL CARDIAC ARREST WITH EXTENDED ENDOVASCULAR COOLING METHOD FOR 72 H: A PROPENSITY SCORE-MATCHED ANALYSIS. Shock. 61(2). 204–208. 1 indexed citations
7.
Liu, Rugang, et al.. (2023). Physician beneficence and profit-taking among private for-profit clinics in China: A field study using a mystery shopper audit. Journal of Behavioral and Experimental Economics. 107. 102129–102129.
8.
9.
10.
Li, Jiali, Rugang Liu, Tianrui Chen, et al.. (2022). A dynamic learning-based ECG feature extraction method for myocardial infarction detection. Physiological Measurement. 43(12). 124005–124005. 10 indexed citations
11.
Chen, Tianrui, Bing Ji, Rugang Liu, et al.. (2022). Early detection of myocardial ischemia in 12‐lead ECG using deterministic learning and ensemble learning. Computer Methods and Programs in Biomedicine. 226. 107124–107124. 15 indexed citations
12.
Zhao, Hongyu, et al.. (2021). Parents’ Decisions to Vaccinate Children against COVID-19: A Scoping Review. Vaccines. 9(12). 1476–1476. 53 indexed citations
13.
Liu, Rugang, et al.. (2021). COVID-19 Vaccination Willingness among Chinese Adults under the Free Vaccination Policy. Vaccines. 9(3). 292–292. 57 indexed citations
14.
Liu, Rugang, Stephen Nicholas, Anli Leng, et al.. (2021). The influencing factors of discrimination against recovered Coronavirus disease 2019 (COVID-19) patients in China: a national study. Human Vaccines & Immunotherapeutics. 18(1). 1913966–1913966. 5 indexed citations
15.
Tang, Fang, Jian Wang, Stephen Nicholas, Dongfu Qian, & Rugang Liu. (2021). A cohort study on risk factors of high-density lipoprotein cholesterol hypolipidemia among urban Chinese adults. Lipids in Health and Disease. 20(1). 20–20. 5 indexed citations
16.
Leng, Anli, Elizabeth Maitland, Siyuan Wang, et al.. (2020). Individual preferences for COVID-19 vaccination in China. Vaccine. 39(2). 247–254. 132 indexed citations
17.
Leng, Anli, Elizabeth Maitland, Stephen Nicholas, Rugang Liu, & Jian Wang. (2020). Individual Preferences for COVID-19 Vaccination in China. SSRN Electronic Journal. 2 indexed citations
18.
Godager, Geir, et al.. (2020). The effect of a mystery shopper scheme on prescribing behavior in primary care: Results from a field experiment. Health Economics Review. 10(1). 33–33. 7 indexed citations
19.
Liu, Rugang, et al.. (2016). Analysis of hepatitis B vaccination behavior and vaccination willingness among migrant workers from rural China based on protection motivation theory. Human Vaccines & Immunotherapeutics. 12(5). 1155–1163. 29 indexed citations
20.
Liu, Hongyu, et al.. (2015). [Present situation and influencing factors of discrimination against hepatitis B patients and carriers among rural adults in three eastern provinces in China].. PubMed. 49(9). 771–6. 4 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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