Chao-Jung Lai

601 citations
13 papers · 416 indexed · h-index 7
Topics
Additive Manufacturing and 3D Printing Technologies (5 papers)Bone Tissue Engineering Materials (3 papers)Manufacturing Process and Optimization (2 papers)

In The Last Decade

Chao-Jung Lai

12 papers receiving 398 citations

Peers

Chao-Jung Lai
Comparison fields: 5 of 64
  • Automotive Engineering 329
  • Biomedical Engineering 160
  • Industrial and Manufacturing Engineering 135
  • Mechanical Engineering 119
  • Building and Construction 94
Replace Jacob J. Fallon with:
Jacob J. Fallon United States
Zilda de Castro Silveira Brazil
Fernando M. Duarte Portugal
Herfried Lammer Austria
Leipeng Yang China
Wiesław Kuczko Poland
Michael Dawoud Egypt
Eric L. Gilmer United States
Camden A. Chatham United States
Anna Bellini Italy
Chao-Jung Lai relative to Jacob J. Fallon United States Jacob J. Fallon's profile →
Citations per field
00.5×1.5×
Jacob J. Fallon · 1×
Citations per year

Countries citing papers authored by Chao-Jung Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Jung Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Jung Lai. 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 Chao-Jung Lai. The network helps show where Chao-Jung Lai may publish in the future.

Co-authorship network of co-authors of Chao-Jung Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Jung Lai. A scholar is included among the top collaborators of Chao-Jung Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao-Jung Lai. Chao-Jung Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 5
3 5
4 24
5 15
6 3
7 9
8 5
9 47
10 71
11 221
12 3
13 8

About Chao-Jung Lai

Chao-Jung Lai is a scholar working on Automotive Engineering, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (5 papers), Bone Tissue Engineering Materials (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Automotive Engineering (329 citations), Industrial and Manufacturing Engineering (135 citations) and Building and Construction (94 citations). Chao-Jung Lai has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Ming-Hsien Hsueh, Yushan Zeng, Shihao Wang, Chieh‐Yu Pan, Wen-Chen Huang, Chia-Hsin Hsieh, Ching-Yi Tsai, Mike Y. Chen, Chia‐Nan Wang and Lung-Pan Cheng. Their work appears in journals such as Molecules, Sustainability and Polymers.

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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