Chen Mu

857 citations
43 papers · 662 · h-index 12

Impact in

Papers in

Chen Mu

35 papers receiving 646 citations

Peers

Chen Mu
Comparison fields: 5 of 81
  • Radiation 108
  • Atomic and Molecular Physics, and Optics 230
  • Transportation 46
  • Radiology, Nuclear Medicine and Imaging 136
  • Automotive Engineering 61
Replace Kang An with:
Kang An China
Jisoo Kim South Korea
Kun Yang China
Peng Qiu China
Yulu Zhou China
D. Münchmeyer Germany
Kune Y. Suh South Korea
Renato Amaral Minamisawa Switzerland
Gaoyu Chen China
Chen Mu relative to Kang An China Kang An's profile →
Citations per field
00.5×10.3×
Kang An · 1×
Citations per year

Countries citing papers authored by Chen Mu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 2005130
3 202165
4 201162
5 201737
6 201130
7 201924
8 202420
9 201717
10 202315
11 201313
12 202012
13 202211
14 20059
15 20198
16 20208
17 20147
18 20117
19 20236
20 20165

About Chen Mu

Chen Mu is a scholar working on Transportation, Automotive Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 662 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (8 papers), Advanced Neural Network Applications (6 papers), Transportation and Mobility Innovations (5 papers), Medical Imaging Techniques and Applications (5 papers), Robotics and Sensor-Based Localization (5 papers), Traffic control and management (4 papers), Wildlife Ecology and Conservation (2 papers) and Antenna Design and Analysis (2 papers). The work is most often cited by research in Radiation (108 citations), Atomic and Molecular Physics, and Optics (230 citations), Transportation (46 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Automotive Engineering (61 citations). Chen Mu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangmo Zhao, Lili Du, Maurizio Conti, F. Kehren, Christian Michel, Vladimir Panin, B. Bendriem, M. Casey, Ke He and Can‐Li Song. Their work appears in journals such as Dalton Transactions, IET Intelligent Transport Systems, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems and IET Microwaves Antennas & Propagation.

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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