Lin Wang

7.6k citations
289 papers · 5.9k · h-index 41

Impact in

Papers in

Lin Wang

268 papers receiving 5.7k citations

Peers

Lin Wang
Comparison fields: 5 of 197
  • Modeling and Simulation 879
  • Statistical and Nonlinear Physics 731
  • Public Health, Environmental and Occupational Health 1.5k
  • Computer Networks and Communications 1.1k
  • Genetics 1000
Replace Zhen Jin with:
Zhen Jin China
Tom Britton Sweden
Wendi Wang China
Sanyi Tang China
Weiming Wang China
Norman T. J. Bailey United Kingdom
Dirk Brockmann Germany
Yijun Lou Hong Kong
Madhav Marathe United States
Muhammad Rafiq Pakistan
Lin Wang relative to Zhen Jin China Zhen Jin's profile →
Citations per field
00.5×1.5×
Zhen Jin · 1×
Citations per year

Countries citing papers authored by Lin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin 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 Lin Wang Line = papers co-authored together Lin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 289 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002201
2 2019191
3 2002166
4 2018158
5 2013157
6 2015151
7 2000143
8 2008131
9 2020124
10 2014118
11 2007113
12 2017109
13 2016106
14 200599
15 201189
16 200778
17 201374
18 201568
19 202167
20 201767

About Lin Wang

Lin Wang is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Genetics, Molecular Biology and Modeling and Simulation, having authored 289 papers that have together received 5.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (60 papers), Evolution and Genetic Dynamics (36 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Distributed Control Multi-Agent Systems (22 papers), Neural Networks Stability and Synchronization (19 papers), COVID-19 epidemiological studies (15 papers), Evolutionary Game Theory and Cooperation (10 papers) and Advanced Differential Equations and Dynamical Systems (9 papers). The work is most often cited by research in Modeling and Simulation (879 citations), Statistical and Nonlinear Physics (731 citations), Public Health, Environmental and Occupational Health (1.5k citations), Computer Networks and Communications (1.1k citations) and Genetics (1000 citations). Lin Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xingfu Zou, Hongying Shu, James Watmough, Gail S. K. Wolkowicz, Jinde Cao, P. van den Driessche, Shengqiang Liu, Renjun Ma, Xiaolei Zhang and Yuming Chen. Their work appears in journals such as Journal of Mathematical Biology, Mathematical Biosciences & Engineering, Mathematical Biosciences, SIAM Journal on Applied Mathematics and Nonlinear Analysis Real World Applications.

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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