Liangchen Wang

1.4k citations
85 papers · 1.1k · h-index 17

Impact in

Papers in

Liangchen Wang

79 papers receiving 1.0k citations

Peers

Liangchen Wang
Comparison fields: 5 of 77
  • Modeling and Simulation 913
  • Cell Biology 432
  • Computational Theory and Mathematics 180
  • Molecular Biology 650
  • Public Health, Environmental and Occupational Health 212
Replace Johannes Lankeit with:
Johannes Lankeit Germany
Tomasz Cieślak Poland
Christian Stinner Germany
Jiashan Zheng China
Tohru Tsujikawa Japan
Pan Zheng China
Tian Xiang China
Ke Lin China
Hai‐Yang Jin China
Takasi Senba Japan
Liangchen Wang relative to Johannes Lankeit Germany Johannes Lankeit's profile →
Citations per field
00.5×1.7×
Johannes Lankeit · 1×
Citations per year

Countries citing papers authored by Liangchen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liangchen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2 201395
3 201564
4 201461
5 201755
6 201345
7 201537
8 201235
9 201934
10 201931
11 202029
12 202026
13 201624
14 201822
15 201918
16 202117
17 202217
18 202016
19 202115
20 201315

About Liangchen Wang

Liangchen Wang is a scholar working on Modeling and Simulation, Molecular Biology, Cell Biology, Computational Theory and Mathematics and Oncology, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (51 papers), Gene Regulatory Network Analysis (32 papers), Cellular Mechanics and Interactions (25 papers), Advanced Mathematical Modeling in Engineering (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Cancer Cells and Metastasis (9 papers), GaN-based semiconductor devices and materials (6 papers) and Evolution and Genetic Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (913 citations), Cell Biology (432 citations), Computational Theory and Mathematics (180 citations), Molecular Biology (650 citations) and Public Health, Environmental and Occupational Health (212 citations). Liangchen Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Chunlai Mu, Pan Zheng, Ke Lin, Xuegang Hu, Shouming Zhou, Dan Li, Jie Wang, Shuyan Qiu, Zhiyu Yan and Zuohua Huang. Their work appears in journals such as Zeitschrift für angewandte Mathematik und Physik, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, Journal of Differential Equations and Applied Mathematics Letters.

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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