Nanyan Shen
- Mechanical Engineering top 10%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Jing LiBiao LiKai ZhuLanyun FengLiang GengLiang TongZiyan WangJiawen Zhang
- Topics
- Advanced machining processes and optimization (16 papers)Robotic Mechanisms and Dynamics (10 papers)Manufacturing Process and Optimization (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringMechanical Engineering
- Journals
- Expert Systems with ApplicationsPhysics in Medicine and BiologyInternational Journal of Production Research
- Partner nations
- China
In The Last Decade
Nanyan Shen
43 papers receiving 398 citations
Peers
Comparison fields: 5 of 64
- Mechanical Engineering 169
- Biomedical Engineering 140
- Control and Systems Engineering 115
- Computer Vision and Pattern Recognition 85
- Industrial and Manufacturing Engineering 81
Countries citing papers authored by Nanyan Shen
This map shows the geographic impact of Nanyan Shen'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 Nanyan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanyan Shen more than expected).
Fields of papers citing papers by Nanyan Shen
This network shows the impact of papers produced by Nanyan Shen. 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 Nanyan Shen. The network helps show where Nanyan Shen may publish in the future.
Co-authorship network of co-authors of Nanyan Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Nanyan Shen. A scholar is included among the top collaborators of Nanyan Shen 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 Nanyan Shen. Nanyan Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 10 | |
| 20 | Revolution Control Of Headstock Base on Cam Non-circular Grinding | 1 |
About Nanyan Shen
Nanyan Shen is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 48 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (16 papers), Robotic Mechanisms and Dynamics (10 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (81 citations), Control and Systems Engineering (115 citations) and Mechanical Engineering (169 citations). Nanyan Shen has collaborated with scholars based in China. Frequent co-authors include Jing Li, Biao Li, Jing Li, Kai Zhu, Lanyun Feng, Liang Geng, Liang Tong, Ziyan Wang, Jiawen Zhang and Jie Sun. Their work appears in journals such as Expert Systems with Applications, Physics in Medicine and Biology and International Journal of Production Research.
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.