Ru‐Xi Ding

1.4k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Ru‐Xi Ding is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Ru‐Xi Ding has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Ru‐Xi Ding's work include Multi-Criteria Decision Making (10 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Network Analysis Techniques (7 papers). Ru‐Xi Ding is often cited by papers focused on Multi-Criteria Decision Making (10 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Network Analysis Techniques (7 papers). Ru‐Xi Ding collaborates with scholars based in China, Spain and United Kingdom. Ru‐Xi Ding's co-authors include Francisco Herrera, Bingsheng Liu, Iván Palomares, Qi Zhou, Kun Shang, Xueqing Wang, Guo-Rui Yang, Enrique Herrera‐Viedma, Xueqing Wang and Yejun Xu and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Renewable Energy.

In The Last Decade

Ru‐Xi Ding

21 papers receiving 1.1k citations

Hit Papers

Large-scale group decision making model based on social n... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ru‐Xi Ding China 13 697 497 334 153 74 25 1.1k
Zhijiao Du China 13 756 1.1× 487 1.0× 322 1.0× 160 1.0× 78 1.1× 33 1.1k
Álvaro Labella Spain 17 986 1.4× 553 1.1× 177 0.5× 277 1.8× 69 0.9× 39 1.3k
Guangxu Li China 16 774 1.1× 411 0.8× 168 0.5× 200 1.3× 107 1.4× 27 1.3k
Mingshuo Cao China 18 561 0.8× 371 0.7× 229 0.7× 116 0.8× 82 1.1× 30 956
Sumin Yu China 19 842 1.2× 426 0.9× 214 0.6× 178 1.2× 95 1.3× 37 1.4k
Mi Zhou China 19 631 0.9× 447 0.9× 143 0.4× 196 1.3× 92 1.2× 64 1.2k
Quanbo Zha China 13 639 0.9× 464 0.9× 564 1.7× 139 0.9× 98 1.3× 24 1.2k
Yucheng Dong China 11 1.2k 1.7× 685 1.4× 184 0.6× 461 3.0× 124 1.7× 17 1.5k
Bowen Zhang China 15 689 1.0× 389 0.8× 126 0.4× 217 1.4× 74 1.0× 36 918

Countries citing papers authored by Ru‐Xi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ru‐Xi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ru‐Xi Ding. 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 Ru‐Xi Ding. The network helps show where Ru‐Xi Ding may publish in the future.

Co-authorship network of co-authors of Ru‐Xi Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ru‐Xi Ding. A scholar is included among the top collaborators of Ru‐Xi Ding 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 Ru‐Xi Ding. Ru‐Xi Ding 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.
4.
Ding, Ru‐Xi, et al.. (2025). Social network-based overlapping community clustering and feedback mechanism for large-scale group decision making. European Journal of Operational Research. 329(2). 518–535. 1 indexed citations
5.
Ding, Ru‐Xi, et al.. (2025). Public opinion prediction on social media by using machine learning methods. Expert Systems with Applications. 269. 126287–126287. 1 indexed citations
6.
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
7.
Ding, Ru‐Xi, Mingyi Li, Bing Yang, & Xiaojing Zhao. (2024). Evaluation of the sustainable development efficiency of environment and energy in China. Proceedings of the Institution of Civil Engineers - Engineering Sustainability. 178(3). 235–245.
8.
Guo, Sijia, et al.. (2024). Interactive dynamic trust network for consensus reaching in social network analysis based large-scale decision making. Expert Systems with Applications. 255. 124578–124578. 9 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
Ding, Ru‐Xi, Xueqing Wang, Kun Shang, & Francisco Herrera. (2019). Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation. Information Fusion. 50. 251–272. 141 indexed citations
14.
Liu, Bingsheng, Qi Zhou, Ru‐Xi Ding, Wei Ni, & Francisco Herrera. (2019). Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model. Knowledge-Based Systems. 186. 104962–104962. 26 indexed citations
15.
Ding, Ru‐Xi, Xueqing Wang, Kun Shang, Bingsheng Liu, & Francisco Herrera. (2018). Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making. IEEE Transactions on Fuzzy Systems. 27(3). 559–573. 85 indexed citations
16.
Liu, Xia, Yejun Xu, Rosana Montes, Ru‐Xi Ding, & Francisco Herrera. (2018). Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems. 27(1). 159–171. 128 indexed citations
17.
Liu, Bingsheng, Qi Zhou, Ru‐Xi Ding, Iván Palomares, & Francisco Herrera. (2018). Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination. European Journal of Operational Research. 275(2). 737–754. 297 indexed citations breakdown →
18.
Ni, Pengfei, Yufei Wang, & Ru‐Xi Ding. (2018). Measurement and Analysis of the Comprehensive Development Levels of Large Cities in China: Based on the New Development Concept. Chinese Journal of Urban and Environmental Studies. 6(2). 1850010–1850010. 1 indexed citations
19.
Ni, Pengfei, et al.. (2017). Cities Network Along the Silk Road. 13 indexed citations
20.
Ding, Ru‐Xi, et al.. (2014). Patch‐based locality‐enhanced collaborative representation for face recognition. IET Image Processing. 9(3). 211–217. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026