Meng Chen

116 papers receiving 1.3k citations

Peers

Meng Chen
Comparison fields: 5 of 169
  • Computational Mathematics 8
  • Computer Vision and Pattern Recognition 201
  • Geophysics 107
  • Physical Therapy, Sports Therapy and Rehabilitation 31
  • Hardware and Architecture 41
Replace Nicolas Vayatis with:
Nicolas Vayatis France
Yonggang Wang China
R. Bardenet France
Hang Lei China
Masoud Nikravesh United States
Jasper Snoek Canada
Laurent Oudre France
Muhammad Khuram Shahzad Pakistan
Meng Chen relative to Nicolas Vayatis France Nicolas Vayatis's profile →
Citations per field
00.5×2×4×6.8×
Nicolas Vayatis · 1×
Citations per year

Countries citing papers authored by Meng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 200892
3 201590
4 202448
5 201436
6 201635
7 201735
8 202335
9 201934
10 202132
11 201832
12 200631
13 201430
14 201728
15 201728
16 202227
17 202225
18 202125
19 201324
20 201922

About Meng Chen

Meng Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Aerospace Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Face and Expression Recognition (5 papers), Advanced Surface Polishing Techniques (4 papers), Advanced Battery Technologies Research (4 papers), Network Packet Processing and Optimization (4 papers), Robotic Path Planning Algorithms (4 papers), Network Security and Intrusion Detection (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (201 citations), Geophysics (107 citations), Physical Therapy, Sports Therapy and Rehabilitation (31 citations) and Hardware and Architecture (41 citations). Meng Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bufu Huang, Yangsheng Xu, Shu‐Di Bao, Zeeshan Ahmad, Shengji Wei, Guoping Long, Chuan Wu, Zain ul Abidin Jaffri, Wei Lin and Lushan Yu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Energy, Therapeutics and Clinical Risk Management, Journal of Energy Storage and Journal of Radioanalytical and Nuclear Chemistry.

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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