Guo-Rui Yang

473 total citations
10 papers, 346 citations indexed

About

Guo-Rui Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Guo-Rui Yang has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 4 papers in Management Science and Operations Research. Recurrent topics in Guo-Rui Yang's work include Cognitive Science and Mapping (5 papers), Multi-Criteria Decision Making (4 papers) and Opinion Dynamics and Social Influence (4 papers). Guo-Rui Yang is often cited by papers focused on Cognitive Science and Mapping (5 papers), Multi-Criteria Decision Making (4 papers) and Opinion Dynamics and Social Influence (4 papers). Guo-Rui Yang collaborates with scholars based in China, Spain and Hong Kong. Guo-Rui Yang's co-authors include Ru‐Xi Ding, Enrique Herrera‐Viedma, Xueqing Wang, Francisco Herrera, Iván Palomares, Yucheng Dong, Bingsheng Liu, Shu-Ping Lin, Xueqing Wang and Xinsheng Jiang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Journal of the Operational Research Society.

In The Last Decade

Guo-Rui Yang

10 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guo-Rui Yang China	7	165	141	91	35	20	10	346
Xueqing Wang China	4	140 0.8×	107 0.8×	66 0.7×	29 0.8×	18 0.9×	7	265
Tiantian Gai China	10	229 1.4×	164 1.2×	105 1.2×	50 1.4×	39 1.9×	20	416
Junfeng Chu China	8	244 1.5×	147 1.0×	78 0.9×	56 1.6×	28 1.4×	14	338
Xiangyu Zhong China	8	316 1.9×	193 1.4×	76 0.8×	81 2.3×	28 1.4×	11	408
Jiapeng Liu China	7	230 1.4×	128 0.9×	68 0.7×	65 1.9×	46 2.3×	9	388
Diego García‐Zamora Spain	11	218 1.3×	144 1.0×	48 0.5×	58 1.7×	23 1.1×	30	342
Sihai Zhao China	7	414 2.5×	257 1.8×	128 1.4×	91 2.6×	30 1.5×	13	554
Francisco J. Estrella Spain	5	256 1.6×	167 1.2×	39 0.4×	93 2.7×	20 1.0×	7	321

Countries citing papers authored by Guo-Rui Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guo-Rui Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Rui Yang. 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 Guo-Rui Yang. The network helps show where Guo-Rui Yang may publish in the future.

Co-authorship network of co-authors of Guo-Rui Yang

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

All Works

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10 of 10 papers shown

Ma, Rui, Xueqing Wang, & Guo-Rui Yang. (2025). Fighting fake news in the age of generative AI: Strategic insights from multi-stakeholder interactions. Technological Forecasting and Social Change. 216. 124125–124125. 2 indexed citations

Yang, Guo-Rui, et al.. (2024). A method of predicting and managing public opinion on social media: An agent-based simulation. Information Sciences. 674. 120722–120722. 2 indexed citations

Ding, Ru‐Xi, et al.. (2024). A Confidence and Conflict-Based Consensus Reaching Process for Large-Scale Group Decision-Making Problems With Intuitionistic Fuzzy Representations. IEEE Transactions on Fuzzy Systems. 32(6). 3420–3432. 15 indexed citations

Yang, Guo-Rui, et al.. (2023). A study on exit and entry mechanism and evolution of relationships between decision makers for multistage large-scale group decision-making problems. Expert Systems with Applications. 237. 121343–121343. 6 indexed citations

Yang, Guo-Rui, et al.. (2023). Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers. Information Fusion. 97. 101820–101820. 34 indexed citations

Ding, Ru‐Xi, et al.. (2023). Conflict management-based consensus reaching process considering conflict relationship clustering in large-scale group decision-making problems. Expert Systems with Applications. 238. 122095–122095. 20 indexed citations

Yang, Guo-Rui, et al.. (2022). Managing public opinion in consensus-reaching processes for large-scale group decision-making problems. Journal of the Operational Research Society. 73(11). 2480–2499. 18 indexed citations

Ding, Ru‐Xi, Iván Palomares, Xueqing Wang, et al.. (2020). Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Information Fusion. 59. 84–102. 209 indexed citations

Jiang, Xinsheng, et al.. (2017). A numerical simulation study on the formation and dispersion of flammable vapor cloud in underground confined space. Process Safety and Environmental Protection. 107. 1–11. 19 indexed citations

10.

Wu, Anhua, et al.. (2001). Effect of dl-praeruptorin A on ATP sensitive potassium channels in human cortical neurons.. PubMed. 22(9). 813–6. 21 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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