Mingze Chen

14 papers receiving 74 citations

Peers

Mingze Chen
Comparison fields: 5 of 29
  • Electrical and Electronic Engineering 35
  • Biomedical Engineering 25
  • Electronic, Optical and Magnetic Materials 10
  • Materials Chemistry 22
  • Infectious Diseases 8
Replace Nour Beydoun with:
Nour Beydoun United States
Yuan Hu United States
Tania Moreno Spain
Ki Cheol Kim South Korea
Carlos Márquez Spain
Mariam Hakami Japan
Zhiwei Gu China
S.X. Zhang China
Chien‐Ju Lee Taiwan
Koji Matsumura Japan
Mingze Chen relative to Nour Beydoun United States Nour Beydoun's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Mingze Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingze Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202219
2 201813
3 202311
4 20215
5 20254
6 20234
7 20254
8 20253
9 20233
10 20213
11 20223
12 20241
13 20211
14 20021
15 20250
16 20240
17 20260

About Mingze Chen

Mingze Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 17 papers that have together received 75 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), 2D Materials and Applications (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), MXene and MAX Phase Materials (2 papers), Advanced Battery Technologies Research (1 paper) and Photovoltaic System Optimization Techniques (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (35 citations), Biomedical Engineering (25 citations), Electronic, Optical and Magnetic Materials (10 citations), Materials Chemistry (22 citations) and Infectious Diseases (8 citations). Mingze Chen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xiaogan Liang, Sameh Tawfick, Younggeun Park, Katsuo Kurabayashi, Charalampos Androulidakis, Kaihao Zhang, Byunghoon Ryu, Yingying He, Yongming Luo and Jiarun Li. Their work appears in journals such as Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Applied Physics Letters, Nano Letters, Journal of Electroanalytical Chemistry and Advanced Functional Materials.

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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