Keng Deng

74 papers receiving 1.4k citations

Peers

Keng Deng
Comparison fields: 5 of 64
  • Applied Mathematics 867
  • Modeling and Simulation 360
  • Mathematical Physics 551
  • Numerical Analysis 242
  • Computational Theory and Mathematics 483
Replace Peter Poláčik with:
Peter Poláčik United States
Jean‐Michel Roquejoffre France
Wei-Ming Ni United States
Alberto Tesei Italy
Izumi Takagi Japan
Zongming Guo China
Jong‐Shenq Guo Taiwan
Julián López-Gómez Spain
Róbert Kersner Hungary
Peter Takáč Germany
Keng Deng relative to Peter Poláčik United States Peter Poláčik's profile →
Citations per field
00.5×1.7×
Peter Poláčik · 1×
Citations per year

Countries citing papers authored by Keng Deng

Since Specialization
Citations

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

Fields of papers citing papers by Keng Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Keng Deng, 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 Keng Deng Line = papers co-authored together Keng Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000402
2 2016112
3 199681
4 199264
5
ON CRITICAL EXPONENTS FOR A SYSTEM OF HEAT EQUATIONS COUPLED IN THE BOUNDARY CONDITIONS
199455
6 199753
7 199248
8 200437
9 199535
10 201934
11 199933
12 200231
13 200629
14 199425
15 200924
16 199719
17 201518
18 198917
19 200515
20 200015

About Keng Deng

Keng Deng is a scholar working on Public Health, Environmental and Occupational Health, Applied Mathematics, Modeling and Simulation, Computational Theory and Mathematics and Control and Systems Engineering, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (32 papers), Advanced Mathematical Modeling in Engineering (22 papers), Stability and Controllability of Differential Equations (21 papers), Nonlinear Partial Differential Equations (18 papers), Mathematical Biology Tumor Growth (16 papers), Evolution and Genetic Dynamics (13 papers), Nonlinear Differential Equations Analysis (12 papers) and Advanced Mathematical Physics Problems (11 papers). The work is most often cited by research in Applied Mathematics (867 citations), Modeling and Simulation (360 citations), Mathematical Physics (551 citations), Numerical Analysis (242 citations) and Computational Theory and Mathematics (483 citations). Keng Deng has collaborated with scholars based in United States and China. Frequent co-authors include Howard A. Levine, Azmy S. Ackleh, Yixiang Wu, Jeffrey R. Anderson, Марек Фила, Shuhua Hu, Man Kam Kwong, H. T. Banks, Kazufumi Ito and Xubo Wang. Their work appears in journals such as Nonlinear Analysis, Mathematical Methods in the Applied Sciences, Journal of Mathematical Analysis and Applications, Discrete and Continuous Dynamical Systems - B and Zeitschrift für angewandte Mathematik und Physik.

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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