Yuping Xing

596 total citations
20 papers, 472 citations indexed

About

Yuping Xing is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Yuping Xing has authored 20 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 15 papers in Control and Systems Engineering and 5 papers in Management, Monitoring, Policy and Law. Recurrent topics in Yuping Xing's work include Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (15 papers) and Fuzzy Systems and Optimization (5 papers). Yuping Xing is often cited by papers focused on Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (15 papers) and Fuzzy Systems and Optimization (5 papers). Yuping Xing collaborates with scholars based in China, United Kingdom and Slovenia. Yuping Xing's co-authors include Runtong Zhang, Jun Wang, Xiaomin Zhu, Kaiyuan Bai, Li Li, Zhen Li, Xiaopu Shang, Jun Wang, Yuan Xu and Weizi Li and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Applied Soft Computing.

In The Last Decade

Yuping Xing

20 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuping Xing China 13 418 213 144 128 60 20 472
Guolin Tang China 12 487 1.2× 212 1.0× 143 1.0× 158 1.2× 130 2.2× 25 559
Farwa Ilyas Pakistan 7 395 0.9× 161 0.8× 87 0.6× 136 1.1× 63 1.1× 7 466
Ding-Hong Peng China 10 297 0.7× 125 0.6× 78 0.5× 83 0.6× 65 1.1× 19 385
Xiaohui Wu China 10 547 1.3× 307 1.4× 158 1.1× 107 0.8× 113 1.9× 25 606
Gang Qian China 8 361 0.9× 144 0.7× 118 0.8× 115 0.9× 108 1.8× 20 406
Jibin Lan China 11 280 0.7× 92 0.4× 92 0.6× 113 0.9× 90 1.5× 22 355
Dan Peng China 9 283 0.7× 115 0.5× 96 0.7× 105 0.8× 80 1.3× 12 332
B. Farhadinia Iran 8 463 1.1× 137 0.6× 145 1.0× 209 1.6× 165 2.8× 11 534
Xiaomin Zhu China 9 258 0.6× 136 0.6× 104 0.7× 82 0.6× 43 0.7× 14 341

Countries citing papers authored by Yuping Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuping Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Xing. A scholar is included among the top collaborators of Yuping Xing 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 Yuping Xing. Yuping Xing 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.
Li, Zhen, et al.. (2024). A novel q-rung orthopair fuzzy best-worst method, Shannon entropy and MARCOS method for mobile medical app service quality evaluation. Applied Soft Computing. 155. 111417–111417. 23 indexed citations
2.
3.
Wang, Lin & Yuping Xing. (2022). Risk Assessment of a Coupled Natural Gas and Electricity Market Considering Dual Interactions: A System Dynamics Model. Energies. 16(1). 223–223. 4 indexed citations
4.
Gai, Ling, et al.. (2022). Green supplier selection and order allocation using linguistic Z-numbers MULTIMOORA method and bi-objective non-linear programming. Fuzzy Optimization and Decision Making. 22(2). 267–288. 16 indexed citations
5.
Xing, Yuping & Lin Wang. (2021). Evaluation for hierarchical diagnosis and treatment policy proposals in China: A novel multi‐attribute group decision‐making method with multi‐parametric distance measures. The International Journal of Health Planning and Management. 37(2). 1089–1117. 5 indexed citations
6.
Zhang, Runtong, et al.. (2021). A novel multicriteria decision‐making approach with unknown weight information under q‐ rung orthopair fuzzy environment. International Journal of Intelligent Systems. 36(12). 7309–7339. 14 indexed citations
7.
Zhang, Runtong, et al.. (2021). Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information. Archives of Control Sciences. 645–685. 2 indexed citations
8.
Zhang, Runtong, et al.. (2021). q-Rung orthopair fuzzy TOPSIS method and the application to information service quality evaluation in online health community. Journal of Intelligent & Fuzzy Systems. 41(2). 3697–3714. 17 indexed citations
9.
Xing, Yuping. (2021). q-Rung orthopair fuzzy frank power point aggregation operators with new multi-parametric distance measures. Journal of Intelligent & Fuzzy Systems. 41(6). 7275–7297. 4 indexed citations
10.
11.
Xing, Yuping, et al.. (2019). A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators. Neural Computing and Applications. 32(11). 7465–7488. 59 indexed citations
12.
Xing, Yuping, Runtong Zhang, Xiaomin Zhu, & Kaiyuan Bai. (2019). q -Rung orthopair fuzzy uncertain linguistic choquet integral operators and their application to multi-attribute decision making. Journal of Intelligent & Fuzzy Systems. 37(1). 1123–1139. 25 indexed citations
13.
Zhu, Xiaomin, et al.. (2019). Pythagorean fuzzy interaction power partitioned Bonferroni means with applications to multi-attribute group decision making. Journal of Intelligent & Fuzzy Systems. 36(4). 3423–3438. 17 indexed citations
14.
Xing, Yuping, et al.. (2019). Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making. Soft Computing. 23(22). 11627–11649. 106 indexed citations
15.
Zhang, Runtong, Yuping Xing, Jun Wang, Xiaopu Shang, & Xiaomin Zhu. (2018). A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China. International Journal of Environmental Research and Public Health. 15(8). 1718–1718. 15 indexed citations
16.
Xu, Yuan, Xiaopu Shang, Jun Wang, et al.. (2018). A method to multi-attribute decision making with picture fuzzy information based on Muirhead mean. Journal of Intelligent & Fuzzy Systems. 36(4). 3833–3849. 28 indexed citations
17.
Xing, Yuping, Runtong Zhang, Jun Wang, & Xiaomin Zhu. (2018). Some new Pythagorean fuzzy Choquet-Frank aggregation operators for multi-attribute decision making. International Journal of Intelligent Systems. 33(11). 2189–2215. 53 indexed citations
18.
Wang, Jun, Runtong Zhang, Xiaomin Zhu, Yuping Xing, & Borut Buchmeister. (2018). Some Hesitant Fuzzy Linguistic Muirhead Means with Their Application to Multiattribute Group Decision‐Making. Complexity. 2018(1). 19 indexed citations
19.
20.
Li, Li, Runtong Zhang, Jun Wang, Xiaomin Zhu, & Yuping Xing. (2018). Pythagorean fuzzy power Muirhead mean operators with their application to multi-attribute decision making. Journal of Intelligent & Fuzzy Systems. 35(2). 2035–2050. 50 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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