Chunhe Xie

939 total citations
12 papers, 817 citations indexed

About

Chunhe Xie is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Chunhe Xie has authored 12 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Management Science and Operations Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Chunhe Xie's work include Multi-Criteria Decision Making (7 papers), Fault Detection and Control Systems (6 papers) and Rough Sets and Fuzzy Logic (4 papers). Chunhe Xie is often cited by papers focused on Multi-Criteria Decision Making (7 papers), Fault Detection and Control Systems (6 papers) and Rough Sets and Fuzzy Logic (4 papers). Chunhe Xie collaborates with scholars based in China. Chunhe Xie's co-authors include Wen Jiang, Yongchuan Tang, Deyun Zhou, Boya Wei, Yu Luo, Jun Zhan, Weiwei Hu, Moxian Song and Jun Wu and has published in prestigious journals such as Sensors, Applied Soft Computing and Computers & Industrial Engineering.

In The Last Decade

Chunhe Xie

12 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunhe Xie China 12 453 280 201 170 155 12 817
Boya Wei China 9 355 0.8× 201 0.7× 142 0.7× 89 0.5× 129 0.8× 9 566
Zhu Zhen-fu China 5 325 0.7× 309 1.1× 135 0.7× 63 0.4× 156 1.0× 8 711
Peida Xu China 9 221 0.5× 164 0.6× 64 0.3× 112 0.7× 99 0.6× 12 491
Catherine K. Murphy United States 4 366 0.8× 411 1.5× 129 0.6× 69 0.4× 186 1.2× 7 817
Shi Wen-kang China 6 311 0.7× 339 1.2× 100 0.5× 59 0.3× 173 1.1× 14 719
Hongming Mo China 15 318 0.7× 186 0.7× 89 0.4× 77 0.5× 91 0.6× 23 724
Jun Zhan China 10 176 0.4× 176 0.6× 128 0.6× 49 0.3× 87 0.6× 21 489
Matthias C. M. Troffaes United Kingdom 16 201 0.4× 257 0.9× 173 0.9× 121 0.7× 94 0.6× 53 734
Fuyuan Xiao China 16 334 0.7× 442 1.6× 99 0.5× 60 0.4× 194 1.3× 53 1.0k
Arnaud Martin France 15 185 0.4× 474 1.7× 77 0.4× 48 0.3× 130 0.8× 51 881

Countries citing papers authored by Chunhe Xie

Since Specialization
Citations

This map shows the geographic impact of Chunhe 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 Chunhe Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhe Xie more than expected).

Fields of papers citing papers by Chunhe Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunhe 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 Chunhe Xie. The network helps show where Chunhe Xie may publish in the future.

Co-authorship network of co-authors of Chunhe Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Chunhe Xie. A scholar is included among the top collaborators of Chunhe 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 Chunhe Xie. Chunhe Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Jiang, Wen, et al.. (2017). Sensing Attribute Weights: A Novel Basic Belief Assignment Method. Sensors. 17(4). 721–721. 22 indexed citations
2.
Jiang, Wen, Chunhe Xie, Boya Wei, & Yongchuan Tang. (2017). Failure Mode and Effects Analysis based on Z-numbers. Intelligent Automation & Soft Computing. 24(1). 165–172. 31 indexed citations
3.
Tang, Yongchuan, et al.. (2017). An Improved Evidential-IOWA Sensor Data Fusion Approach in Fault Diagnosis. Sensors. 17(9). 2143–2143. 13 indexed citations
4.
Jiang, Wen, et al.. (2017). Failure mode and effects analysis based on a novel fuzzy evidential method. Applied Soft Computing. 57. 672–683. 183 indexed citations
5.
Jiang, Wen, Weiwei Hu, & Chunhe Xie. (2017). A New Engine Fault Diagnosis Method Based on Multi-Sensor Data Fusion. Applied Sciences. 7(3). 280–280. 32 indexed citations
6.
Jiang, Wen, et al.. (2017). A Reliability-Based Method to Sensor Data Fusion. Sensors. 17(7). 1575–1575. 28 indexed citations
7.
Jiang, Wen, Chunhe Xie, Yu Luo, & Yongchuan Tang. (2016). Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers. Journal of Intelligent & Fuzzy Systems. 32(3). 1931–1943. 85 indexed citations
8.
Song, Moxian, et al.. (2016). A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making. International Journal of Intelligent Systems. 32(6). 631–644. 26 indexed citations
9.
Jiang, Wen, Boya Wei, Jun Zhan, Chunhe Xie, & Deyun Zhou. (2016). A visibility graph power averaging aggregation operator: A methodology based on network analysis. Computers & Industrial Engineering. 101. 260–268. 72 indexed citations
10.
Jiang, Wen, Chunhe Xie, Boya Wei, & Deyun Zhou. (2016). A modified method for risk evaluation in failure modes and effects analysis of aircraft turbine rotor blades. Advances in Mechanical Engineering. 8(4). 73 indexed citations
11.
Jiang, Wen, et al.. (2016). Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis. Sensors. 16(9). 1509–1509. 129 indexed citations
12.
Jiang, Wen, Boya Wei, Chunhe Xie, & Deyun Zhou. (2016). An evidential sensor fusion method in fault diagnosis. Advances in Mechanical Engineering. 8(3). 123 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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