Guofeng Chen

78 papers receiving 1.3k citations

Guofeng Chen's Hit Papers

Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives 2019 · 421 citations
4210+2+4Years since publication100200300400

Peers

Guofeng Chen
Comparison fields: 5 of 99
  • Automotive Engineering 298
  • Industrial and Manufacturing Engineering 166
  • Mechanical Engineering 539
  • Biomedical Engineering 388
  • Mechanics of Materials 165
Replace N.N. Ekere with:
N.N. Ekere United Kingdom
Zhenze Yang United States
Jiajie Fan China
Gordon Elger Germany
Hsien‐Chie Cheng Taiwan
Ahmet Cecen United States
Christian Schumacher Germany
Guofeng Chen relative to N.N. Ekere United Kingdom N.N. Ekere's profile →
Citations per field
00.5×1.5×2.2×
N.N. Ekere · 1×
Citations per year

Countries citing papers authored by Guofeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guofeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
Hit paper breakdown →
2019421
2 201656
3 202056
4 201243
5 202041
6 201841
7 201034
8 200133
9 201832
10 201828
11 199925
12 200024
13 201123
14 201622
15 201222
16 201920
17 202120
18 201720
19 201219
20 202016

About Guofeng Chen

Guofeng Chen is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (22 papers), Mechanical and Optical Resonators (15 papers), High-Temperature Coating Behaviors (13 papers), Advanced MEMS and NEMS Technologies (11 papers), Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (7 papers), Catalytic Processes in Materials Science (6 papers) and GaN-based semiconductor devices and materials (6 papers). The work is most often cited by research in Automotive Engineering (298 citations), Industrial and Manufacturing Engineering (166 citations), Mechanical Engineering (539 citations), Biomedical Engineering (388 citations) and Mechanics of Materials (165 citations). Guofeng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changpeng Li, Yong Li, Xuan Cheng, Matteo Rinaldi, Hanyi Lou, Cristian Cassella, Zhenyun Qian, Sharif Rahman, Gwendolyn Hummel and Young H. Park. Their work appears in journals such as International Journal of Fracture, Scripta Materialia, Oxidation of Metals, Dyes and Pigments and Journal of Material Science and Technology.

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.

Explore authors with similar magnitude of impact