Mingcheng Yang

2.0k citations
83 papers · 1.5k · h-index 23

Impact in

Papers in

Mingcheng Yang

75 papers receiving 1.4k citations

Peers

Mingcheng Yang
Comparison fields: 5 of 89
  • Condensed Matter Physics 987
  • Statistical and Nonlinear Physics 387
  • Biomedical Engineering 736
  • Physical and Theoretical Chemistry 143
  • Computational Mechanics 288
Replace Natsuhiko Yoshinaga with:
Natsuhiko Yoshinaga Japan
Konstantin I. Morozov Israel
Andreas M. Menzel Germany
Claudio Maggi Italy
Mihail N. Popescu Germany
Borge ten Hagen Germany
Felix Kümmel Germany
Ivo Buttinoni Germany
Joakim Stenhammar Sweden
Alexey Snezhko United States
Mingcheng Yang relative to Natsuhiko Yoshinaga Japan Natsuhiko Yoshinaga's profile →
Citations per field
00.5×1.5×2.1×
Natsuhiko Yoshinaga · 1×
Citations per year

Countries citing papers authored by Mingcheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingcheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 201985
3 201569
4 201469
5 201168
6 201862
7 201558
8 202058
9 201657
10 201354
11 202154
12 202153
13 201252
14 201347
15 202141
16 202035
17 202234
18 202034
19 201232
20 202231

About Mingcheng Yang

Mingcheng Yang is a scholar working on Condensed Matter Physics, Biomedical Engineering, Statistical and Nonlinear Physics, Materials Chemistry and Computational Mechanics, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Micro and Nano Robotics (48 papers), Advanced Thermodynamics and Statistical Mechanics (26 papers), Microfluidic and Bio-sensing Technologies (17 papers), Molecular Communication and Nanonetworks (16 papers), Field-Flow Fractionation Techniques (15 papers), Material Dynamics and Properties (14 papers), Pickering emulsions and particle stabilization (11 papers) and Nanopore and Nanochannel Transport Studies (8 papers). The work is most often cited by research in Condensed Matter Physics (987 citations), Statistical and Nonlinear Physics (387 citations), Biomedical Engineering (736 citations), Physical and Theoretical Chemistry (143 citations) and Computational Mechanics (288 citations). Mingcheng Yang has collaborated with scholars based in China, Germany and Czechia. Frequent co-authors include Marisol Ripoll, Ke Chen, Qiang He, Fangfu Ye, Changyong Gao, Ke Chen, Xin Lou, Zhihua Lin, Adam Wysocki and Chang Zhou. Their work appears in journals such as Soft Matter, Physical Review Letters, The Journal of Chemical Physics, Proceedings of the National Academy of Sciences and Journal of Physics Condensed Matter.

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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