Yabing Yao

524 total citations
28 papers, 375 citations indexed

About

Yabing Yao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yabing Yao has authored 28 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 15 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Yabing Yao's work include Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (16 papers) and Advanced Graph Neural Networks (14 papers). Yabing Yao is often cited by papers focused on Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (16 papers) and Advanced Graph Neural Networks (14 papers). Yabing Yao collaborates with scholars based in China. Yabing Yao's co-authors include Ruisheng Zhang, Fan Yang, Yongna Yuan, Rongjing Hu, Jianxin Tang, Zhili Zhao, Huan Li, Ping Wang, Mengtian Li and Yong Peng and has published in prestigious journals such as Expert Systems with Applications, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Yabing Yao

23 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yabing Yao China 11 317 141 57 50 44 28 375
Dónal Doyle Ireland 5 276 0.9× 170 1.2× 34 0.6× 42 0.8× 94 2.1× 9 421
Lotfi Ben Romdhane Tunisia 13 355 1.1× 158 1.1× 31 0.5× 46 0.9× 100 2.3× 29 471
Chiman Salavati Iran 7 172 0.5× 138 1.0× 49 0.9× 24 0.5× 32 0.7× 7 290
Xiaobin Rui China 11 219 0.7× 118 0.8× 20 0.4× 69 1.4× 54 1.2× 24 329
Omar Shahbaz Khan Netherlands 8 219 0.7× 89 0.6× 34 0.6× 30 0.6× 69 1.6× 16 360
Zejun Sun China 13 408 1.3× 121 0.9× 43 0.8× 23 0.5× 89 2.0× 26 483
Zhengyou Xia China 10 179 0.6× 128 0.9× 19 0.3× 52 1.0× 94 2.1× 31 326
Sanasam Ranbir Singh India 10 84 0.3× 223 1.6× 26 0.5× 40 0.8× 36 0.8× 61 326
Amrita Namtirtha India 9 262 0.8× 59 0.4× 26 0.5× 23 0.5× 63 1.4× 15 317
Matjaž Zaveršnik Slovenia 3 165 0.5× 98 0.7× 27 0.5× 18 0.4× 76 1.7× 4 289

Countries citing papers authored by Yabing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yabing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yabing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yabing Yao. A scholar is included among the top collaborators of Yabing Yao 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 Yabing Yao. Yabing Yao 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.
Tang, Jianxin, et al.. (2025). A novel evolutionary deep reinforcement learning algorithm for the influence maximization problem in multilayer social networks. Chaos Solitons & Fractals. 200. 116967–116967. 1 indexed citations
2.
Yao, Yabing, Peijun Guo, Yangyang He, et al.. (2025). Multi-scale contrastive learning via aggregated subgraph for link prediction. Applied Intelligence. 55(7). 1 indexed citations
3.
Tang, Jianxin, et al.. (2025). Probing for high influential nodes in social networks via a co-evolutionary memetic algorithm. Physica A Statistical Mechanics and its Applications. 675. 130828–130828.
4.
Zhang, Ruisheng, et al.. (2025). Link prediction via robust bidirectional deep nonnegative matrix factorization. Expert Systems with Applications. 287. 128108–128108.
5.
Yao, Yabing, Zhipeng Xu, Yangyang He, et al.. (2024). CICN: Higher-order link prediction with clustering mutual information of common neighbors. Journal of Computational Science. 85. 102513–102513.
6.
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8.
Tang, Jianxin, et al.. (2024). Graph convolutional networks with the self-attention mechanism for adaptive influence maximization in social networks. Complex & Intelligent Systems. 10(6). 8383–8401. 2 indexed citations
9.
Yao, Yabing, et al.. (2024). Rb-based: link prediction based on the resource broadcast of nodes for complex networks. Evolutionary Intelligence. 17(5-6). 3793–3813. 1 indexed citations
10.
Zhang, Ruisheng, et al.. (2024). Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm. Applied Intelligence. 54(5). 4095–4120. 5 indexed citations
11.
Yang, Fan, et al.. (2023). Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search. Soft Computing. 27(21). 16059–16085. 8 indexed citations
12.
Yao, Yabing, Yangyang He, Zhipeng Xu, et al.. (2023). Deep non-negative matrix factorization with edge generator for link prediction in complex networks. Applied Intelligence. 54(1). 592–613. 5 indexed citations
13.
Nian, Fuzhong, et al.. (2022). Identification of Potential Cooperation Relationships Among Scientists. Big Data. 11(2). 87–104.
14.
Zhang, Ruisheng, et al.. (2022). Link Prediction Based On Local Structure And Node Information Along Local Paths. The Computer Journal. 67(1). 45–56. 2 indexed citations
15.
Nian, Fuzhong, et al.. (2021). Phase Transition in Group Emotion. IEEE Transactions on Computational Social Systems. 8(5). 1143–1152. 7 indexed citations
16.
Yang, Fan, Yong Peng, Yabing Yao, et al.. (2020). Locating the propagation source in complex networks with a direction-induced search based Gaussian estimator. Knowledge-Based Systems. 195. 105674–105674. 29 indexed citations
17.
Tang, Jianxin, et al.. (2019). An adaptive discrete particle swarm optimization for influence maximization based on network community structure. International Journal of Modern Physics C. 30(6). 1950050–1950050. 16 indexed citations
18.
Li, Mengtian, Ruisheng Zhang, Rongjing Hu, et al.. (2018). Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient. International Journal of Modern Physics B. 32(6). 1850118–1850118. 40 indexed citations
19.
Yang, Fan, Xiangwei Li, Xinhui Liu, et al.. (2018). Ranking the spreading influence of nodes in complex networks: An extended weighted degree centrality based on a remaining minimum degree decomposition. Physics Letters A. 382(34). 2361–2371. 19 indexed citations
20.
Hu, Rongjing, et al.. (2017). The New Link Prediction Methods Based on Spectral Analysis. Lanzhou University Institutional Repository. 23. 106–112. 2 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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