Xiaobin Rui

512 total citations
24 papers, 329 citations indexed

About

Xiaobin Rui is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiaobin Rui has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Xiaobin Rui's work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (14 papers) and Advanced Graph Neural Networks (10 papers). Xiaobin Rui is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (14 papers) and Advanced Graph Neural Networks (10 papers). Xiaobin Rui collaborates with scholars based in China, United States and Austria. Xiaobin Rui's co-authors include Zhixiao Wang, Guan Yuan, Chengcheng Sun, Na Bai, Zechao Li, Xinguang Xiang, Philip S. Yu, Tarik Hadzibeganovic, Xiaodong Yang and Xiang Lin and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xiaobin Rui

21 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobin Rui China	11	219	118	69	54	43	24	329
Liqing Qiu China	9	202 0.9×	118 1.0×	78 1.1×	35 0.6×	81 1.9×	47	332
Zhen Lin China	8	139 0.6×	89 0.8×	40 0.6×	46 0.9×	77 1.8×	13	288
Yabing Yao China	11	317 1.4×	141 1.2×	50 0.7×	44 0.8×	39 0.9×	28	375
Sanasam Ranbir Singh India	10	84 0.4×	223 1.9×	40 0.6×	36 0.7×	66 1.5×	61	326
Chiman Salavati Iran	7	172 0.8×	138 1.2×	24 0.3×	32 0.6×	26 0.6×	7	290
Lotfi Ben Romdhane Tunisia	13	355 1.6×	158 1.3×	46 0.7×	100 1.9×	87 2.0×	29	471
Omar Shahbaz Khan Netherlands	8	219 1.0×	89 0.8×	30 0.4×	69 1.3×	49 1.1×	16	360
Krzysztof Juszczyszyn Poland	10	120 0.5×	78 0.7×	43 0.6×	63 1.2×	85 2.0×	34	231
Yuqing Zhu China	12	223 1.0×	93 0.8×	44 0.6×	75 1.4×	74 1.7×	41	349
Zaobo He China	5	150 0.7×	180 1.5×	151 2.2×	97 1.8×	75 1.7×	8	390

Countries citing papers authored by Xiaobin Rui

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobin Rui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Rui

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rui, Xiaobin, et al.. (2025). Heterogeneous graph neural network with relation-aware label propagation for unbalanced node classification. Physica A Statistical Mechanics and its Applications. 660. 130369–130369.

Rui, Xiaobin, Zhixiao Wang, Hao Peng, Wei Chen, & Philip S. Yu. (2025). A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator. IEEE Transactions on Knowledge and Data Engineering. 1–15. 1 indexed citations

Sun, Chengcheng, et al.. (2024). LGAT: a light graph attention network focusing on message passing for semi-supervised node classification. Computing. 106(6). 1729–1747. 3 indexed citations

Rui, Xiaobin, et al.. (2024). Higher-order link prediction via light hypergraph neural network and hybrid aggregator. International Journal of Machine Learning and Cybernetics. 16(4). 2671–2685.

Fan, Chencheng, et al.. (2023). Influence maximization in social networks based on discrete harris hawks optimization algorithm. Computing. 106(2). 327–351. 9 indexed citations

Sun, Chengcheng, et al.. (2023). Attention-based graph neural networks: a survey. Artificial Intelligence Review. 56(S2). 2263–2310. 35 indexed citations

Sun, Chengcheng, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, & Lichao Sun. (2023). An in-depth study on key nodes in social networks. Intelligent Data Analysis. 27(6). 1811–1838. 2 indexed citations

Tong, J. E., Zhixiao Wang, & Xiaobin Rui. (2022). A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set. Computational Intelligence and Neuroscience. 2022. 1–12. 3 indexed citations

Wang, Zhixiao, et al.. (2022). A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Transactions on Cybernetics. 54(2). 1037–1047. 21 indexed citations

10.

Bai, Na, et al.. (2022). A multi-task attention tree neural net for stance classification and rumor veracity detection. Applied Intelligence. 53(9). 10715–10725. 10 indexed citations

11.

Bai, Na, et al.. (2022). Rumor detection based on a Source-Replies conversation Tree Convolutional Neural Net. Computing. 104(5). 1155–1171. 9 indexed citations

12.

Rui, Xiaobin, et al.. (2021). Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking. IEEE Access. 9. 84922–84931. 2 indexed citations

13.

Wang, Zhixiao, Xiaobin Rui, Guan Yuan, Jingjing Cui, & Tarik Hadzibeganovic. (2021). Endemic information-contagion outbreaks in complex networks with potential spreaders based recurrent-state transmission dynamics. Physica A Statistical Mechanics and its Applications. 573. 125907–125907. 13 indexed citations

14.

Bai, Na, et al.. (2021). Rumour Detection Based on Graph Convolutional Neural Net. IEEE Access. 9. 21686–21693. 28 indexed citations

15.

Wang, Zhixiao, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, & Lichao Sun. (2020). Localization of multiple diffusion sources based on overlapping community detection. Knowledge-Based Systems. 226. 106613–106613. 12 indexed citations

16.

Wang, Zhixiao, Chengcheng Sun, Guan Yuan, Xiaobin Rui, & Xiaodong Yang. (2020). A neighborhood link sensitive dismantling method for social networks. Journal of Computational Science. 43. 101129–101129. 9 indexed citations

17.

Rui, Xiaobin, et al.. (2019). Superspreaders and superblockers based community evolution tracking in dynamic social networks. Knowledge-Based Systems. 192. 105377–105377. 21 indexed citations

18.

Rui, Xiaobin, et al.. (2018). SPIR: The potential spreaders involved SIR model for information diffusion in social networks. Physica A Statistical Mechanics and its Applications. 506. 254–269. 40 indexed citations

19.

Rui, Xiaobin, et al.. (2018). Coupled Node Similarity Learning for Community Detection in Attributed Networks. Entropy. 20(6). 471–471. 17 indexed citations

20.

Wang, Zhixiao, et al.. (2018). Tracking the evolution of overlapping communities in dynamic social networks. Knowledge-Based Systems. 157. 81–97. 46 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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