Lin Wang

7.4k citations
278 papers · 5.6k indexed · h-index 40

Lin Wang

263 papers receiving 5.4k citations

Peers

Lin Wang
Comparison fields: 5 of 197
  • Modeling and Simulation 865
  • Statistical and Nonlinear Physics 699
  • Public Health, Environmental and Occupational Health 1.5k
  • Computer Networks and Communications 1.1k
  • Genetics 995
Replace Weiming Wang with:
Weiming Wang China
Zhen Jin China
Wendi Wang China
Yijun Lou Hong Kong
Tom Britton Sweden
Dirk Brockmann Germany
Renato Assunção Brazil
Raymond Rishel United States
Norman T. J. Bailey United Kingdom
E. F. Mishchenko Russia
Lin Wang relative to Weiming Wang China Weiming Wang's profile →
Citations per field
00.5×1.5×2.0×
Weiming Wang · 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-authorship network

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
#Work
1 20252
2 20247
3 20244
4 20241
5 20242
6 20234
7 20235
8 20239
9 202213
10 20229
11 202222
12 20211
13 202147
14 202164
15 202012
16 20191
17 20186
18
Grouping Effects on Jackknifed Variance Estimation for Item Response Theory Scaling and Equating with Cluster-Based Assessment Data. Research Report. ETS RR-18-16.
20181
19 200911
20 199626

About Lin Wang

Lin Wang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Computer Networks and Communications, Statistical and Nonlinear Physics and Genetics, having authored 278 papers that have together received 5.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Evolution and Genetic Dynamics (36 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Distributed Control Multi-Agent Systems (21 papers), Neural Networks Stability and Synchronization (17 papers), COVID-19 epidemiological studies (15 papers), Evolutionary Game Theory and Cooperation (10 papers) and Mathematical Biology Tumor Growth (9 papers). The work is most often cited by research in Modeling and Simulation (865 citations), Statistical and Nonlinear Physics (699 citations), Public Health, Environmental and Occupational Health (1.5k citations), Computer Networks and Communications (1.1k citations) and Genetics (995 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, Xiaolei Zhang, Renjun Ma and Yuming Chen. Their work appears in journals such as Journal of Mathematical Biology, Mathematical Biosciences, Mathematical Biosciences & Engineering, 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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2026