Chunqian Ji
- Industrial and Manufacturing Engineering top 0.5%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Building and Construction top 10%
- Topics
- Manufacturing Process and Optimization (12 papers)Robot Manipulation and Learning (5 papers)Advanced Fiber Optic Sensors (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringAutomotive EngineeringControl and Systems Engineering
- Journals
- SensorsInternational Journal of Production ResearchThe International Journal of Advanced Manufacturing Technology
- Partner nations
- United KingdomChinaSpain
In The Last Decade
Chunqian Ji
20 papers receiving 778 citations
Peers
Comparison fields: 5 of 55
- Industrial and Manufacturing Engineering 554
- Mechanical Engineering 199
- Control and Systems Engineering 184
- Automotive Engineering 140
- Building and Construction 88
Countries citing papers authored by Chunqian Ji
This map shows the geographic impact of Chunqian Ji'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 Chunqian Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunqian Ji more than expected).
Fields of papers citing papers by Chunqian Ji
This network shows the impact of papers produced by Chunqian Ji. 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 Chunqian Ji. The network helps show where Chunqian Ji may publish in the future.
Co-authorship network of co-authors of Chunqian Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Chunqian Ji. A scholar is included among the top collaborators of Chunqian Ji 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 Chunqian Ji. Chunqian Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 79 | |
| 3 | 22 | |
| 4 | 70 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 99 | |
| 8 | 59 | |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 90 | |
| 12 | 1 | |
| 13 | 96 | |
| 14 | 83 | |
| 15 | 25 | |
| 16 | 38 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 25 | |
| 20 | 2 |
About Chunqian Ji
Chunqian Ji is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Control and Systems Engineering, having authored 20 papers that have together received 808 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (12 papers), Robot Manipulation and Learning (5 papers) and Advanced Fiber Optic Sensors (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (554 citations), Automotive Engineering (140 citations) and Control and Systems Engineering (184 citations). Chunqian Ji has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include Duc Truong Pham, Zude Zhou, Wenjun Xu, Jiayi Liu, Quan Liu, Jun Huang, Shizhong Su, Yongjing Wang, Mo Qu and Junwei Yan. Their work appears in journals such as Sensors, International Journal of Production Research 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.