Chun-li Xie

455 total citations
27 papers, 353 citations indexed

About

Chun-li Xie is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Chun-li Xie has authored 27 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Chun-li Xie's work include Fault Detection and Control Systems (11 papers), Risk and Safety Analysis (6 papers) and Robotic Path Planning Algorithms (4 papers). Chun-li Xie is often cited by papers focused on Fault Detection and Control Systems (11 papers), Risk and Safety Analysis (6 papers) and Robotic Path Planning Algorithms (4 papers). Chun-li Xie collaborates with scholars based in China, United Kingdom and Lebanon. Chun-li Xie's co-authors include Yong-kuo Liu, Minjun Peng, Meng-kun Li, Nan Chao, Fei Xie, Hong Xia, Liqun Yang, Guohua Wu, Abiodun Ayodeji and Lu Bai and has published in prestigious journals such as Nuclear Engineering and Design, Progress in Nuclear Energy and Annals of Nuclear Energy.

In The Last Decade

Chun-li Xie

25 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chun-li Xie China 10 167 131 123 58 54 27 353
Meng-kun Li China 10 168 1.0× 69 0.5× 112 0.9× 39 0.7× 38 0.7× 21 303
Nan Chao China 8 235 1.4× 77 0.6× 147 1.2× 8 0.1× 48 0.9× 26 361
Qi Dong China 12 42 0.3× 227 1.7× 165 1.3× 20 0.3× 7 0.1× 33 383
Hamed Habibi Australia 13 39 0.2× 361 2.8× 131 1.1× 23 0.4× 42 0.8× 37 562
Jingchao Peng China 10 134 0.8× 102 0.8× 36 0.3× 20 0.3× 10 0.2× 23 284
Somil Bansal United States 8 81 0.5× 154 1.2× 63 0.5× 13 0.2× 11 0.2× 25 319
Emine Ayaz Türkiye 12 19 0.1× 303 2.3× 28 0.2× 28 0.5× 20 0.4× 22 410
Kai Zheng China 11 28 0.2× 178 1.4× 69 0.6× 10 0.2× 80 1.5× 84 476

Countries citing papers authored by Chun-li Xie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Xie, Chun-li, et al.. (2024). A convolutional neural-network-based diagnostic framework for industrial bearing. Mechanical sciences. 15(1). 87–98. 2 indexed citations
2.
Xie, Chun-li, et al.. (2024). Research on path planning based on improved artificial potential field method. 3. 95–103. 2 indexed citations
3.
Xie, Chun-li, et al.. (2024). Method for Detecting Industrial Defects in Intelligent Manufacturing Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 78(1). 1329–1343.
4.
Ai, Xin, et al.. (2024). A concurrent fault diagnosis method for electric isolation valves in nuclear power plants based on rule-based reasoning and data-driven methods. Progress in Nuclear Energy. 171. 105190–105190. 5 indexed citations
5.
Li, Xiaobin, et al.. (2022). Programming Course Student Performance Prediction based on Feature Construction. 3955. 1–6. 1 indexed citations
6.
Xie, Chun-li, et al.. (2018). Using Sensors Data and Emissions Information to Diagnose Engine’s Faults. International Journal of Computational Intelligence Systems. 11(1). 1142–1142. 6 indexed citations
7.
Li, Meng-kun, Yong-kuo Liu, Minjun Peng, Chun-li Xie, & Liqun Yang. (2018). A fast simulation method for radiation maps using interpolation in a virtual environment. Journal of Radiological Protection. 38(3). 892–907. 16 indexed citations
8.
Li, Meng-kun, Yong-kuo Liu, Minjun Peng, Chun-li Xie, & Liqun Yang. (2018). The digital simulation and fuzzy evaluation to reduce the likelihood of unsafe behavior in nuclear decommissioning. Annals of Nuclear Energy. 119. 331–341. 11 indexed citations
9.
Wu, Guohua, et al.. (2016). Research on Fault Diagnosis Based on SDG-QTA in Nuclear Power Plant. 50(8). 1473. 2 indexed citations
10.
Li, Meng-kun, et al.. (2016). Dynamic minimum dose path-searching method for virtual nuclear facilities. Progress in Nuclear Energy. 91. 1–8. 30 indexed citations
11.
Li, Meng-kun, Yong-kuo Liu, Minjun Peng, Chun-li Xie, & Liqun Yang. (2016). The decision making method of task arrangement based on analytic hierarchy process for nuclear safety in radiation field. Progress in Nuclear Energy. 93. 318–326. 9 indexed citations
12.
Liu, Yong-kuo, et al.. (2015). A fault diagnosis method based on signed directed graph and matrix for nuclear power plants. Nuclear Engineering and Design. 297. 166–174. 31 indexed citations
13.
Liu, Yong-kuo, Meng-kun Li, Chun-li Xie, Minjun Peng, & Fei Xie. (2014). Path-planning research in radioactive environment based on particle swarm algorithm. Progress in Nuclear Energy. 74. 184–192. 48 indexed citations
14.
Liu, Yong-kuo, et al.. (2014). Improvement of fault diagnosis efficiency in nuclear power plants using hybrid intelligence approach. Progress in Nuclear Energy. 76. 122–136. 20 indexed citations
15.
Liu, Yong-kuo, Hong Xia, & Chun-li Xie. (2009). Research of Nuclear Power Plants Diagnosis Method Based on Data Fusion. 291–295. 1 indexed citations
16.
Xie, Chun-li, Lihai Wang, & Fengying Sun. (2009). Realization Technology of Highway Vehicle Overlimit Supervisory System. 21. 1196–1201. 1 indexed citations
17.
Xie, Chun-li & Hong Xia. (2007). Application of GM (1,1) gray model in trend prediction of the nuclear power plants. Chinese Journal of Nuclear Science and Engineering. 1 indexed citations
18.
Liu, Yong-kuo, Hong Xia, & Chun-li Xie. (2005). Application of fuzzy neural network to the nuclear power plant in process fault diagnosis. Journal of Marine Science and Application. 4(1). 34–38. 3 indexed citations
19.
Xie, Chun-li. (2004). Recognition and fault diagnosis system of U shape pipe breaking accident of steam generator. Applied science and technology. 1 indexed citations
20.
Xie, Chun-li. (2004). Research on marine turbine rotor fusion diagnosis system based on neural network and D-S evidence theory. Applied science and technology. 5 indexed citations

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.

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