Ke Wang

6.2k citations
265 papers · 4.4k · h-index 37

Impact in

Papers in

Ke Wang

243 papers receiving 4.2k citations

Peers

Ke Wang
Comparison fields: 5 of 170
  • Modeling and Simulation 1.2k
  • Public Health, Environmental and Occupational Health 2.0k
  • Applied Mathematics 529
  • Soil Science 480
  • Genetics 1.1k
Replace Xinzhi Liu with:
Xinzhi Liu Canada
Mohammad Mehdi Rashidi Iran
Wei Gao China
Haiyan Wang China
Tareq Saeed Saudi Arabia
Tonghua Zhang China
Kenneth S. Miller United States
Soheil Salahshour Türkiye
Jing Wang China
Zhi‐An Wang China
Ke Wang relative to Xinzhi Liu Canada Xinzhi Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010225
2 2018183
3 2018151
4 2003111
5 2016109
6 2013107
7 2001105
8 2017101
9 201396
10 199992
11 200692
12 201088
13 201384
14 202373
15 201373
16 201070
17 202368
18 201260
19 201159
20 201953

About Ke Wang

Ke Wang is a scholar working on Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health, Modeling and Simulation, Aerospace Engineering and Applied Mathematics, having authored 265 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (69 papers), Robotics and Sensor-Based Localization (39 papers), Mathematical Biology Tumor Growth (32 papers), Nonlinear Differential Equations Analysis (31 papers), Evolution and Genetic Dynamics (25 papers), Advanced Image and Video Retrieval Techniques (24 papers), Stochastic processes and statistical mechanics (18 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Public Health, Environmental and Occupational Health (2.0k citations), Applied Mathematics (529 citations), Soil Science (480 citations) and Genetics (1.1k citations). Ke Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Meng Liu, Xiaoling Zou, Xianghua Zhang, Ruifeng Li, Yu Tian, Hailong Mao, Qiong Wu, Meng Fan, Fengying Wei and Wenxue Li. Their work appears in journals such as Expert Systems with Applications, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics Letters, Journal of Mathematical Analysis and Applications 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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