Dang Cheng

1.7k total citations
67 papers, 1.3k citations indexed

About

Dang Cheng is a scholar working on Biomedical Engineering, Computational Mechanics and Organic Chemistry. According to data from OpenAlex, Dang Cheng has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 16 papers in Computational Mechanics and 13 papers in Organic Chemistry. Recurrent topics in Dang Cheng's work include Innovative Microfluidic and Catalytic Techniques Innovation (20 papers), Rheology and Fluid Dynamics Studies (12 papers) and Fluid Dynamics and Mixing (11 papers). Dang Cheng is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (20 papers), Rheology and Fluid Dynamics Studies (12 papers) and Fluid Dynamics and Mixing (11 papers). Dang Cheng collaborates with scholars based in China, United Kingdom and Singapore. Dang Cheng's co-authors include Frank Evans, Chao Yang, Fen‐Er Chen, Jingcai Cheng, Xin Feng, Meifen Jiang, Zai‐Sha Mao, J.A.M. Kuipers, Li Wan and E.A.J.F. Peters and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dang Cheng

61 papers receiving 1.2k citations

Peers

Dang Cheng
Comparison fields: 5 of 104
  • Fluid Flow and Transfer Processes 414
  • Biomedical Engineering 380
  • Mechanical Engineering 226
  • Computational Mechanics 224
  • Materials Chemistry 181
Francis Gadala‐Maria United States
P. H. T. Uhlherr Australia
Louis Fradette Canada
C. M. Vrentas United States
P.J.A.M. Kerkhof Netherlands
Paul Grassia United Kingdom
Chinmay Ghoroi India
Kei Miyanami Japan
Ying Xu China
Artin Afacan Canada
Francis Gadala‐Maria United States View profile →
Citations per field, relative to Dang Cheng
Dang Cheng · 1×
Citations per year, relative to Dang Cheng
Dang Cheng · 1×

Countries citing papers authored by Dang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Dang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Dang Cheng. A scholar is included among the top collaborators of Dang Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dang Cheng. Dang Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 1
4 0
5 3
6 0
7 1
8 1
9 1
10 1
11 1
12 1
13 3
14 3
15 6
16 8
17 2
18 20
19 19
20 1

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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