Peipei Wang

1.2k total citations
26 papers, 819 citations indexed

About

Peipei Wang is a scholar working on Modeling and Simulation, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Peipei Wang has authored 26 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 7 papers in Artificial Intelligence and 5 papers in Epidemiology. Recurrent topics in Peipei Wang's work include COVID-19 epidemiological studies (8 papers), Data-Driven Disease Surveillance (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Peipei Wang is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Data-Driven Disease Surveillance (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Peipei Wang collaborates with scholars based in China, United States and Australia. Peipei Wang's co-authors include Xinqi Zheng, Jiayang Li, Haiyan Liu, Lei Zhao, Dongya Liu, Gang Ai, Shifeng Dai, Weijiao Song, James C. Hower and Jiayang Li and has published in prestigious journals such as Scientific Reports, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Peipei Wang

24 papers receiving 790 citations

Peers

Peipei Wang
Comparison fields: 5 of 117
  • Modeling and Simulation 254
  • Geochemistry and Petrology 194
  • Artificial Intelligence 191
  • Radiology, Nuclear Medicine and Imaging 160
  • Economics and Econometrics 103
Replace Chen Fang with:
Chen Fang China
Jinmeng Rao United States
Tanujit Chakraborty India
Mohammed N. Alenezi Kuwait
Shengwen Li China
Robert Olszewski Poland
Mehmet Şahin Türkiye
Graeme Wright Australia
Bing She United States
Chen Fang China View profile →
Citations per field, relative to Peipei Wang
Peipei Wang · 1×
Citations per year, relative to Peipei Wang
Peipei Wang · 1×

Countries citing papers authored by Peipei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Wang. A scholar is included among the top collaborators of Peipei Wang 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 Peipei Wang. Peipei Wang 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
# Work Indexed citations
1 5
2 3
3 2
4 1
5 2
6 2
7 0
8 9
9 3
10 18
11 9
12 51
13 102
14 220
15 112
16 27
17 36
18 5
19 126
20 6

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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