Enyi Chen

20 papers receiving 724 citations

Peers

Enyi Chen
Comparison fields: 5 of 76
  • Signal Processing 103
  • Automotive Engineering 113
  • Electrical and Electronic Engineering 415
  • Computer Vision and Pattern Recognition 124
  • Materials Chemistry 248
Replace Joachim Köhler with:
Joachim Köhler Germany
Cong Guo China
René Kaiser Austria
Yuki Matsuda Japan
Noah M. Johnson United States
Ruochen Xu China
Andreas Lorenz Germany
Takehiro Yamamoto Japan
Yoshihiro Matsuo Japan
Zi Li China
Enyi Chen relative to Joachim Köhler Germany Joachim Köhler's profile →
Citations per field
00.5×6.1×
Joachim Köhler · 1×
Citations per year

Countries citing papers authored by Enyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Enyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016316
2 2003149
3 2002103
4 201753
5 201843
6 202030
7 202113
8 202113
9 20197
10 20047
11 20197
12 20054
13 20253
14 20243
15 20243
16 20053
17 20232
18 20042
19 20032
20 20241

About Enyi Chen

Enyi Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering and Computer Networks and Communications, having authored 22 papers that have together received 764 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Advanced machining processes and optimization (4 papers), Advanced Battery Materials and Technologies (3 papers), Advancements in Battery Materials (3 papers), Mobile Agent-Based Network Management (3 papers), Material Dynamics and Properties (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Signal Processing (103 citations), Automotive Engineering (113 citations), Electrical and Electronic Engineering (415 citations), Computer Vision and Pattern Recognition (124 citations) and Materials Chemistry (248 citations). Enyi Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Yao Yu, Jian‐Fang Wu, Vanessa K. Peterson, Yue Wu, Xin Guo, Wei Kong Pang, Lin Liu, Yaping Huang, Siwei Luo and Guangyou Xu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, ACS Applied Materials & Interfaces, The Journal of Physical Chemistry Letters, Scripta Materialia and The Journal of Physical Chemistry B.

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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