Shiyong Liu

818 total citations
35 papers, 547 citations indexed

About

Shiyong Liu is a scholar working on Management Science and Operations Research, Modeling and Simulation and Health. According to data from OpenAlex, Shiyong Liu has authored 35 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 8 papers in Modeling and Simulation and 4 papers in Health. Recurrent topics in Shiyong Liu's work include COVID-19 epidemiological studies (8 papers), Complex Systems and Decision Making (6 papers) and Transportation Planning and Optimization (4 papers). Shiyong Liu is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Complex Systems and Decision Making (6 papers) and Transportation Planning and Optimization (4 papers). Shiyong Liu collaborates with scholars based in China, United States and Canada. Shiyong Liu's co-authors include Konstantinos Triantis, Hong Xue, Youfa Wang, Sudipta Sarangi, Sanjay Jain, Peng Jia, Nathaniel Osgood, Yan Li, Qi Zhang and Nasim S. Sabounchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Shiyong Liu

34 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiyong Liu China 15 111 97 83 69 68 35 547
Honora Smith United Kingdom 18 82 0.7× 59 0.6× 64 0.8× 57 0.8× 120 1.8× 38 952
Abraham George United Kingdom 12 38 0.3× 39 0.4× 40 0.5× 55 0.8× 32 0.5× 32 547
Pelumi E. Oguntunde Nigeria 17 51 0.5× 22 0.2× 147 1.8× 34 0.5× 38 0.6× 80 921
Lawrence Fulton United States 18 88 0.8× 12 0.1× 105 1.3× 205 3.0× 163 2.4× 104 1.1k
Flávio Fonseca Nobre Brazil 14 65 0.6× 24 0.2× 124 1.5× 75 1.1× 71 1.0× 44 691
Apurva Pamidimukkala United States 15 167 1.5× 31 0.3× 8 0.1× 37 0.5× 112 1.6× 79 825
Georgios Georgiadis Greece 16 41 0.4× 299 3.1× 61 0.7× 24 0.3× 58 0.9× 54 808
Tor‐Olav Nævestad Norway 19 31 0.3× 88 0.9× 71 0.9× 26 0.4× 27 0.4× 69 816
Abdülkadir Atalan Türkiye 11 24 0.2× 34 0.4× 22 0.3× 67 1.0× 177 2.6× 41 623
Saed Alizamir United States 7 79 0.7× 13 0.1× 53 0.6× 57 0.8× 217 3.2× 12 656

Countries citing papers authored by Shiyong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shiyong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyong Liu. A scholar is included among the top collaborators of Shiyong 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 Shiyong Liu. Shiyong 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.
Zhang, Weiwei, et al.. (2025). A system dynamics framework to formulate energy policies for sustainable development in Ethiopia. Utilities Policy. 95. 101953–101953. 1 indexed citations
2.
Dai, Shaoqing, Yuanyuan Shi, Kun Qin, et al.. (2025). Heterogeneous impacts of and vulnerabilities to the COVID-19 pandemic. Landscape Ecology. 40(2). 1 indexed citations
3.
Zhang, Weiwei, et al.. (2024). Systematic review of life cycle assessments on carbon emissions in the transportation system. Environmental Impact Assessment Review. 109. 107618–107618. 38 indexed citations
4.
Li, Yunfan, Shiyong Liu, An Zeng, et al.. (2024). Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns. Systems. 12(4). 113–113. 2 indexed citations
5.
6.
Zhang, Weiwei, Thomas J. Huggins, Wenwen Zheng, et al.. (2022). Assessing the Dynamic Outcomes of Containment Strategies against COVID-19 under Different Public Health Governance Structures: A Comparison between Pakistan and Bangladesh. International Journal of Environmental Research and Public Health. 19(15). 9239–9239. 3 indexed citations
7.
8.
Nie, Peng, Lanlin Ding, Zhuo Chen, et al.. (2021). Income-related health inequality among Chinese adults during the COVID-19 pandemic: evidence based on an online survey. International Journal for Equity in Health. 20(1). 106–106. 15 indexed citations
9.
Xie, Wei, Jidi Zhao, Ming Xue, et al.. (2021). Investigating the effectiveness of re-opening policies before vaccination during a pandemic: SD modelling research based on COVID-19 in Wuhan. BMC Public Health. 21(1). 1638–1638. 9 indexed citations
10.
Liu, Jin, Shiyong Liu, Jun Zhang, et al.. (2021). Does Physical Activity Predict Obesity—A Machine Learning and Statistical Method-Based Analysis. International Journal of Environmental Research and Public Health. 18(8). 3966–3966. 42 indexed citations
11.
Liu, Shiyong, et al.. (2020). Systematic causality mapping of factors leading to accidental falls of older adults. Public Health in Practice. 1. 100045–100045. 4 indexed citations
12.
Jia, Peng, Hong Xue, Shiyong Liu, et al.. (2019). Opportunities and challenges of using big data for global health. Science Bulletin. 64(22). 1652–1654. 11 indexed citations
13.
Yang, Yong, Hong Xue, Shiyong Liu, & Youfa Wang. (2019). Is the decline of active travel to school unavoidable by-products of economic growth and urbanization in developing countries?. Sustainable Cities and Society. 47. 101446–101446. 15 indexed citations
14.
Chen, Hsin‐Jen, Hong Xue, Shiyong Liu, et al.. (2018). Obesity trend in the United States and economic intervention options to change it: A simulation study linking ecological epidemiology and system dynamics modeling. Public Health. 161. 20–28. 22 indexed citations
15.
Liu, Shiyong, Konstantinos Triantis, Zhao Li, & Youfa Wang. (2018). Capturing multi-stage fuzzy uncertainties in hybrid system dynamics and agent-based models for enhancing policy implementation in health systems research. PLoS ONE. 13(4). e0194687–e0194687. 10 indexed citations
16.
17.
Wang, Youfa, Hong Xue, & Shiyong Liu. (2015). Applications of Systems Science in Biomedical Research Regarding Obesity and Noncommunicable Chronic Diseases: Opportunities, Promise, and Challenges. Advances in Nutrition. 6(1). 88–95. 14 indexed citations
18.
Liu, Shiyong, Nathaniel Osgood, Qi Gao, Hong Xue, & Youfa Wang. (2015). Systems simulation model for assessing the sustainability and synergistic impacts of sugar-sweetened beverages tax and revenue recycling on childhood obesity prevention. Journal of the Operational Research Society. 67(5). 708–721. 24 indexed citations
19.
Zhang, Qi, et al.. (2014). Food Policy Approaches to Obesity Prevention: An International Perspective. Current Obesity Reports. 3(2). 171–182. 32 indexed citations
20.
Liu, Shiyong, Konstantinos Triantis, & Sudipta Sarangi. (2010). Representing qualitative variables and their interactions with fuzzy logic in system dynamics modeling. Systems Research and Behavioral Science. 28(3). 245–263. 13 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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