Xia Wang

66 papers receiving 987 citations

Peers

Xia Wang
Comparison fields: 5 of 82
  • Modeling and Simulation 413
  • Virology 263
  • Public Health, Environmental and Occupational Health 754
  • Genetics 430
  • Infectious Diseases 139
Replace Hongying Shu with:
Hongying Shu China
Xueyong Zhou China
Hee‐Dae Kwon South Korea
Hem Raj Joshi United States
Cruz Vargas‐De‐León Mexico
Yu Yang China
Rachid Ouifki South Africa
Mayowa M. Ojo South Africa
Naveen K. Vaidya United States
Kasia A. Pawelek United States
Xia Wang relative to Hongying Shu China Hongying Shu's profile →
Citations per field
00.5×1.5×2.2×
Hongying Shu · 1×
Citations per year

Countries citing papers authored by Xia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xia Wang Line = papers co-authored together Xia Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201688
2 201262
3 201156
4 202056
5 199940
6 201640
7 201040
8 200638
9 200837
10 201629
11 201929
12 201228
13 201627
14 201626
15 201925
16 201924
17 201923
18 200822
19 200921
20 202018

About Xia Wang

Xia Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Virology and Infectious Diseases, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (51 papers), Evolution and Genetic Dynamics (31 papers), COVID-19 epidemiological studies (22 papers), HIV Research and Treatment (19 papers), Evolutionary Game Theory and Cooperation (9 papers), HIV/AIDS Research and Interventions (8 papers), HIV/AIDS drug development and treatment (6 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Modeling and Simulation (413 citations), Virology (263 citations), Public Health, Environmental and Occupational Health (754 citations), Genetics (430 citations) and Infectious Diseases (139 citations). Xia Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinyu Song, Libin Rong, Shengqiang Liu, Sanyi Tang, Yuming Chen, Cecilia Cheng‐Mayer, Earl T. Sawai, Amanda Brown, Yu‐Ming Chen and Yijun Lou. Their work appears in journals such as International Journal of Biomathematics, Mathematical Biosciences & Engineering, Applied Mathematics and Computation, Mathematical Methods in the Applied Sciences and Applied Mathematical Modelling.

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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