Changguo Li

736 citations
51 papers · 582 indexed · h-index 14
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (30 papers)Evolution and Genetic Dynamics (17 papers)COVID-19 epidemiological studies (9 papers)
Partner nations
ChinaUnited States

In The Last Decade

Changguo Li

44 papers receiving 566 citations

Peers

Changguo Li
Comparison fields: 5 of 81
  • Public Health, Environmental and Occupational Health 404
  • Genetics 227
  • Modeling and Simulation 196
  • Computer Networks and Communications 118
  • Sociology and Political Science 65
Replace Xiangyun Shi with:
Xiangyun Shi China
Moxun Tang United States
Yasuhisa Saito Japan
Prabir Panja India
Jai Prakash Tripathi India
Agus Suryanto Indonesia
Sunita Gakkhar India
Zhanji Gui China
Changguo Li relative to Xiangyun Shi China Xiangyun Shi's profile →
Citations per field
00.5×1.5×
Xiangyun Shi · 1×
Citations per year

Countries citing papers authored by Changguo Li

Since Specialization
Citations

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

Fields of papers citing papers by Changguo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changguo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Changguo Li. A scholar is included among the top collaborators of Changguo Li 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 Changguo Li. Changguo Li 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
#WorkIndexed citations
1 0
2 1
3 1
4 2
5 2
6 7
7 3
8 2
9 18
10 6
11 1
12 5
13 34
14 27
15
A Prey-Predator System with Parasitic Infection and Recovery
1
16 28
17 24
18 29
19 6
20 57

About Changguo Li

Changguo Li is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 51 papers that have together received 582 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (30 papers), Evolution and Genetic Dynamics (17 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (196 citations), Public Health, Environmental and Occupational Health (404 citations) and Genetics (227 citations). Changguo Li has collaborated with scholars based in China and United States. Frequent co-authors include Yongzhen Pei, Lansun Chen, Yunfei Lv, Shuping Li, Shaoying Liu, Shujing Gao, Shuzhen Chen, Miaomiao Chen, Miaomiao Chen and Min Guo. Their work appears in journals such as Frontiers in Microbiology, BMC Bioinformatics and Journal of Theoretical Biology.

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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