Chun-li Xie
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Ocean Engineering top 10%
- Topics
- Fault Detection and Control Systems (11 papers)Risk and Safety Analysis (6 papers)Advanced Computational Techniques and Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistics, Probability and UncertaintyControl and Systems Engineering
- Partner nations
- ChinaUnited KingdomLebanon
In The Last Decade
Chun-li Xie
25 papers receiving 340 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 167
- Control and Systems Engineering 131
- Aerospace Engineering 123
- Statistics, Probability and Uncertainty 58
- Ocean Engineering 54
Countries citing papers authored by Chun-li Xie
This map shows the geographic impact of Chun-li Xie'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 Chun-li Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-li Xie more than expected).
Fields of papers citing papers by Chun-li Xie
This network shows the impact of papers produced by Chun-li Xie. 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 Chun-li Xie. The network helps show where Chun-li Xie may publish in the future.
Co-authorship network of co-authors of Chun-li Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Chun-li Xie. A scholar is included among the top collaborators of Chun-li Xie 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 Chun-li Xie. Chun-li Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | Research on Fault Diagnosis Based on SDG-QTA in Nuclear Power Plant | 2 |
| 10 | 30 | |
| 11 | 30 | |
| 12 | 31 | |
| 13 | 48 | |
| 14 | 48 | |
| 15 | 31 | |
| 16 | 1 | |
| 17 | Application of GM (1,1) gray model in trend prediction of the nuclear power plants | 1 |
| 18 | 3 | |
| 19 | Recognition and fault diagnosis system of U shape pipe breaking accident of steam generator | 1 |
| 20 | Research on marine turbine rotor fusion diagnosis system based on neural network and D-S evidence theory | 5 |
About Chun-li Xie
Chun-li Xie is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Medical Laboratory Technology, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Risk and Safety Analysis (6 papers) and Advanced Computational Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Statistics, Probability and Uncertainty (58 citations) and Control and Systems Engineering (131 citations). Chun-li Xie has collaborated with scholars based in China, United Kingdom and Lebanon. Frequent co-authors include Yong-kuo Liu, Minjun Peng, Meng-kun Li, Nan Chao, Fei Xie, Liqun Yang, Hong Xia, Guohua Wu, Abiodun Ayodeji and Lu Bai. Their work appears in journals such as Nuclear Engineering and Design, Progress in Nuclear Energy and Annals of Nuclear Energy.
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.