Liuchao Jin
- Mechanical Engineering
- Automotive Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Civil and Structural Engineering
- Co-authors
- Xiaoya ZhaiJingchao JiangWei‐Hsin LiaoKang ZhangDazhong WuKang WangAamer NazirMahdi Bodaghi
- Topics
- Additive Manufacturing and 3D Printing Technologies (9 papers)Advanced Materials and Mechanics (7 papers)Modular Robots and Swarm Intelligence (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaComposites Science and TechnologyAdvanced Science
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Liuchao Jin
20 papers receiving 244 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Mechanical Engineering 136
- Automotive Engineering 111
- Industrial and Manufacturing Engineering 73
- Biomedical Engineering 71
- Civil and Structural Engineering 33
Countries citing papers authored by Liuchao Jin
This map shows the geographic impact of Liuchao Jin'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 Liuchao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liuchao Jin more than expected).
Fields of papers citing papers by Liuchao Jin
This network shows the impact of papers produced by Liuchao Jin. 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 Liuchao Jin. The network helps show where Liuchao Jin may publish in the future.
Co-authorship network of co-authors of Liuchao Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Liuchao Jin. A scholar is included among the top collaborators of Liuchao Jin 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 Liuchao Jin. Liuchao Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | Big data, machine learning, and digital twin assisted additive manufacturing: A reviewbreakdown → | 85 |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 40 | |
| 20 | 3 |
About Liuchao Jin
Liuchao Jin is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Advanced Materials and Mechanics (7 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Automotive Engineering (111 citations), Industrial and Manufacturing Engineering (73 citations) and Mechanical Engineering (136 citations). Liuchao Jin has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaoya Zhai, Jingchao Jiang, Wei‐Hsin Liao, Kang Zhang, Dazhong Wu, Kang Wang, Aamer Nazir, Kang Zhang, Mahdi Bodaghi and Qiang Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Composites Science and Technology and Advanced Science.
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.