Ming Cheng

25 papers receiving 934 citations

Peers

Ming Cheng
Comparison fields: 5 of 57
  • Bioengineering 219
  • Applied Mathematics 118
  • Electrical and Electronic Engineering 563
  • Mathematical Physics 80
  • Materials Chemistry 378
Replace Bahaaudin M. Raffah with:
Bahaaudin M. Raffah Saudi Arabia
Jae‐Myoung Kim South Korea
Michael D. Bronshtein Russia
R. Peña‐Sierra Mexico
Qiliang Wu China
Sarita Yadav India
Chenxi Yang China
Matthew J. O’Malley United States
Pengfei Guan China
Matthieu Haefelé France
Ming Cheng relative to Bahaaudin M. Raffah Saudi Arabia Bahaaudin M. Raffah's profile →
Citations per field
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Bahaaudin M. Raffah · 1×
Citations per year

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 2012116
3 201896
4 201993
5 201891
6 201970
7 202356
8 200143
9 201838
10 202236
11 201832
12 202325
13 202216
14 202315
15 201312
16 20159
17 20176
18 20175
19 20153
20
Gap solitons in periodic Schrodinger lattice system with nonlinear hopping
20162

About Ming Cheng

Ming Cheng is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Mathematical Physics, Applied Mathematics and Biomedical Engineering, having authored 28 papers that have together received 954 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (7 papers), Gas Sensing Nanomaterials and Sensors (5 papers), Nonlinear Photonic Systems (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Photocatalysis Techniques (3 papers), Carbon and Quantum Dots Applications (3 papers), Fractional Differential Equations Solutions (3 papers) and Nonlinear Differential Equations Analysis (3 papers). The work is most often cited by research in Bioengineering (219 citations), Applied Mathematics (118 citations), Electrical and Electronic Engineering (563 citations), Mathematical Physics (80 citations) and Materials Chemistry (378 citations). Ming Cheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lianjing Zhao, Yuan Gao, Geyu Lu, Bo Zhang, Fangmeng Liu, Guannan Liu, Shan Li, Xu Yan, Tong Zhang and Peng Sun. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Colloid and Interface Science, Mathematical Methods in the Applied Sciences, Boundary Value Problems 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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