Xiaojun Liu
- Mechanical Engineering top 1%
- Industrial and Manufacturing Engineering top 0.2%
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Zhonghua NiLicheng LingJinfeng LiuWenming QiaoHonggen ZhouDonghui LongJitong WangQingjun Chen
- Topics
- Manufacturing Process and Optimization (55 papers)Digital Transformation in Industry (25 papers)Engineering Technology and Methodologies (12 papers)
- Cited by
- Industrial and Manufacturing EngineeringMechanical EngineeringSafety, Risk, Reliability and Quality
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Xiaojun Liu
116 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Mechanical Engineering 1.3k
- Industrial and Manufacturing Engineering 1.2k
- Materials Chemistry 512
- Biomedical Engineering 298
- Electrical and Electronic Engineering 284
Countries citing papers authored by Xiaojun Liu
This map shows the geographic impact of Xiaojun Liu'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 Xiaojun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Liu more than expected).
Fields of papers citing papers by Xiaojun Liu
This network shows the impact of papers produced by Xiaojun Liu. 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 Xiaojun Liu. The network helps show where Xiaojun Liu may publish in the future.
Co-authorship network of co-authors of Xiaojun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Liu. A scholar is included among the top collaborators of Xiaojun Liu 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 Xiaojun Liu. Xiaojun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 31 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 121 | |
| 19 | Tolerance design of products with correlated characteristics based on current value of quality loss | 1 |
| 20 | 29 |
About Xiaojun Liu
Xiaojun Liu is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering, having authored 132 papers that have together received 2.8k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (55 papers), Digital Transformation in Industry (25 papers) and Engineering Technology and Methodologies (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Mechanical Engineering (1.3k citations) and Safety, Risk, Reliability and Quality (145 citations). Xiaojun Liu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Zhonghua Ni, Licheng Ling, Jinfeng Liu, Wenming Qiao, Honggen Zhou, Donghui Long, Jitong Wang, Qingjun Chen, Wenlong Lu and Hong Yi. Their work appears in journals such as Energy & Environmental Science, Macromolecules and Applied Catalysis B: Environmental.
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.