Guofeng Chen

76 papers receiving 1.2k citations

Guofeng Chen's Hit Papers

Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives 2019 · 381 citations
3810+2+4Years since publication100200300

Peers

Guofeng Chen
Comparison fields: 5 of 95
  • Automotive Engineering 277
  • Industrial and Manufacturing Engineering 153
  • Mechanical Engineering 503
  • Biomedical Engineering 369
  • Statistics, Probability and Uncertainty 47
Replace Zhenze Yang with:
Zhenze Yang United States
Hsien‐Chie Cheng Taiwan
Jiajie Fan China
Gordon Elger Germany
Qingsong Hua China
Ahmet Cecen United States
Christian Schumacher Germany
Weihong Zhang China
Guofeng Chen relative to Zhenze Yang United States Zhenze Yang's profile →
Citations per field
00.5×10×16.8×
Zhenze Yang · 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 82 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 →
2019381
2 201653
3 202053
4 201243
5 201838
6 202036
7 201033
8 200132
9 201832
10 201827
11 199924
12 200022
13 201621
14 201121
15 201221
16 201720
17 202120
18 201920
19 201218
20 201314

About Guofeng Chen

Guofeng Chen is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (22 papers), Mechanical and Optical Resonators (15 papers), High-Temperature Coating Behaviors (12 papers), Advanced MEMS and NEMS Technologies (11 papers), Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (7 papers), GaN-based semiconductor devices and materials (6 papers) and Catalytic Processes in Materials Science (6 papers). The work is most often cited by research in Automotive Engineering (277 citations), Industrial and Manufacturing Engineering (153 citations), Mechanical Engineering (503 citations), Biomedical Engineering (369 citations) and Statistics, Probability and Uncertainty (47 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 Scripta Materialia, International Journal of Fracture, Oxidation of Metals, Nanostructured Materials and Journal of Micromechanics and Microengineering.

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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