Eujin Pei
- Automotive Engineering top 0.5%
- Additive Manufacturing and 3D Printing Technologies 48
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- Manufacturing Process and Optimization 30
- Mechanical Engineering top 2%
- Additive Manufacturing Materials and Processes 18
- Design Education and Practice 14
- Advanced Materials and Mechanics 8
- Human-Computer Interaction top 5%
- Building and Construction top 5%
- Innovations in Concrete and Construction Materials 9
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- Advanced Sensor and Energy Harvesting Materials 7
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- Creativity in Education and Neuroscience 5
Eujin Pei
79 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Automotive Engineering 1.3k
- Industrial and Manufacturing Engineering 487
- Mechanical Engineering 1.1k
- Human-Computer Interaction 99
- Building and Construction 241
Countries citing papers authored by Eujin Pei
This map shows the geographic impact of Eujin Pei'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 Eujin Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eujin Pei more than expected).
Fields of papers citing papers by Eujin Pei
This network shows the impact of papers produced by Eujin Pei. 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 Eujin Pei. The network helps show where Eujin Pei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eujin Pei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 51 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 9 | |
| 12 | Additive Manufacturing – Developments in Training and Education | 2019 | 1 |
| 13 | 2019 | 84 | |
| 14 | Design for Material Extrusion on Mesh Fabrics | 2019 | 1 |
| 15 | 2019 | 2 | |
| 16 | 2018 | 15 | |
| 17 | 2016 | 84 | |
| 18 | 2015 | 4 | |
| 19 | 2014 | 2 | |
| 20 | 2011 | 31 |
About Eujin Pei
Eujin Pei is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Human-Computer Interaction and Building and Construction, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (48 papers), Manufacturing Process and Optimization (30 papers), Additive Manufacturing Materials and Processes (18 papers), Design Education and Practice (14 papers), Innovations in Concrete and Construction Materials (9 papers), Advanced Materials and Mechanics (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Creativity in Education and Neuroscience (5 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Industrial and Manufacturing Engineering (487 citations), Mechanical Engineering (1.1k citations), Human-Computer Interaction (99 citations) and Building and Construction (241 citations). Eujin Pei has collaborated with scholars based in United Kingdom, Spain and China. Frequent co-authors include Giselle Hsiang Loh, Mario Monzón, David Harrison, Ian Campbell, Jinsong Shen, Mark Evans, Shajahan Maidin, R.I. Campbell, Joamin González-Gutiérrez and Ronan R. McCarthy. Their work appears in journals such as Progress in Additive Manufacturing, Assembly Automation, Rapid Prototyping Journal, Applied Sciences and The International Journal of Advanced Manufacturing 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.