Xiaojing Guo

595 total citations
17 papers, 423 citations indexed

About

Xiaojing Guo is a scholar working on Global and Planetary Change, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Xiaojing Guo has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 5 papers in Modeling and Simulation and 4 papers in Molecular Biology. Recurrent topics in Xiaojing Guo's work include COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 impact on air quality (2 papers). Xiaojing Guo is often cited by papers focused on COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 impact on air quality (2 papers). Xiaojing Guo collaborates with scholars based in China, Canada and United States. Xiaojing Guo's co-authors include Pierre Y. Bernier, Chhun-Huor Ung, Yiping Zeng, Xinzhi Wang, Hui Zhang, Benoît Lafleur, Brian Titus, David Paré, D. G. Maynard and Évelyne Thiffault and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Biological Macromolecules.

In The Last Decade

Xiaojing Guo

17 papers receiving 408 citations

Peers

Xiaojing Guo
Glenn Ledder United States
Mahendra Dia United States
Simon Shaw United Kingdom
Xiaojing Guo
Citations per year, relative to Xiaojing Guo Xiaojing Guo (= 1×) peers Gholamabbas Ghanbarian

Countries citing papers authored by Xiaojing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Guo

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

All Works

17 of 17 papers shown
2.
Liu, Ying, et al.. (2024). Effect of an evidence-based early rehabilitation program on adult patients with venovenous extracorporeal membrane oxygenation: A cohort study. Intensive and Critical Care Nursing. 84. 103744–103744. 1 indexed citations
3.
Li, Lihua, et al.. (2023). Identification of natural product inhibitors of PTP1B based on high-throughput virtual screening strategy: In silico, in vitro and in vivo studies. International Journal of Biological Macromolecules. 243. 125292–125292. 9 indexed citations
5.
Ba, Rui, et al.. (2022). Rethinking the urban resilience: Extension and connotation. Journal of Safety Science and Resilience. 3(4). 398–403. 16 indexed citations
6.
Guo, Xiaojing, et al.. (2022). Modeling the External, Internal, and Multi-Center Transmission of Infectious Diseases: The COVID-19 Case. SHILAP Revista de lepidopterología. 3(2). 171–181. 2 indexed citations
7.
Guo, Xiaojing, et al.. (2021). Identification of the high-risk residence communities and possible risk factors of COVID-19 in Wuhan, China. Journal of Safety Science and Resilience. 2(2). 31–39. 4 indexed citations
9.
Guo, Xiaojing, et al.. (2021). [Extracorporeal membrane oxygenation rapid response team building and management practice].. PubMed. 33(3). 349–351. 1 indexed citations
10.
Wang, Xinzhi, et al.. (2021). Deep learning based inverse model for building fire source location and intensity estimation. Fire Safety Journal. 121. 103310–103310. 46 indexed citations
11.
Wang, Xinzhi, et al.. (2021). A multi-scale agent-based model of infectious disease transmission to assess the impact of vaccination and non-pharmaceutical interventions: The COVID-19 case. Journal of Safety Science and Resilience. 2(4). 199–207. 16 indexed citations
12.
Guo, Xiaojing, et al.. (2020). Transmissibility of COVID-19 in 11 major cities in China and its association with temperature and humidity in Beijing, Shanghai, Guangzhou, and Chengdu. Infectious Diseases of Poverty. 9(1). 87–87. 56 indexed citations
13.
Zeng, Yiping, et al.. (2020). Forecasting of COVID-19: spread with dynamic transmission rate. Journal of Safety Science and Resilience. 1(2). 91–96. 18 indexed citations
14.
Li, Litao, et al.. (2017). Enhancement of digital radiography image quality using a convolutional neural network. Journal of X-Ray Science and Technology. 25(6). 857–868. 9 indexed citations
15.
16.
Paré, David, Pierre Y. Bernier, Benoît Lafleur, et al.. (2013). Estimating stand-scale biomass, nutrient contents, and associated uncertainties for tree species of Canadian forests. Canadian Journal of Forest Research. 43(7). 599–608. 54 indexed citations
17.
Ung, Chhun-Huor, Pierre Y. Bernier, & Xiaojing Guo. (2008). Canadian national biomass equations: new parameter estimates that include British Columbia data. Canadian Journal of Forest Research. 38(5). 1123–1132. 134 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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