Xu-Hua Yang

1.8k total citations · 1 hit paper
104 papers, 1.3k citations indexed

About

Xu-Hua Yang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xu-Hua Yang has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistical and Nonlinear Physics, 36 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Xu-Hua Yang's work include Complex Network Analysis Techniques (37 papers), Opinion Dynamics and Social Influence (22 papers) and Advanced Graph Neural Networks (17 papers). Xu-Hua Yang is often cited by papers focused on Complex Network Analysis Techniques (37 papers), Opinion Dynamics and Social Influence (22 papers) and Advanced Graph Neural Networks (17 papers). Xu-Hua Yang collaborates with scholars based in China, United States and United Kingdom. Xu-Hua Yang's co-authors include Huiling Chen, Yizhou Chen, Qiu Guan, Haigen Hu, Qianwei Zhou, Zihan Wei, Ali Asghar Heidari, Lei Wang, Zhicheng Li and Wanliang Wang and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and Scientific Reports.

In The Last Decade

Xu-Hua Yang

89 papers receiving 1.2k citations

Hit Papers

Generative Adversarial Networks in Medical Image augmenta... 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Generative Adversarial Networks in Medical Image augmentation: A review
    2022 251 citations Xu-Hua Yang et al. profile →

Peers

Xu-Hua Yang
Jinyoung Han South Korea
Yongli Wang China
Yifang Ma China
Erez Shmueli Israel
Sameep Mehta India
Przemysław Kazienko Poland
Jilin Chen United States
Vivek K. Singh United States
Vivek Kumar Singh India
Lin Li China
Jinyoung Han South Korea
Xu-Hua Yang
Citations per year, relative to Xu-Hua Yang Xu-Hua Yang (= 1×) peers Jinyoung Han

Countries citing papers authored by Xu-Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xu-Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu-Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xu-Hua Yang. A scholar is included among the top collaborators of Xu-Hua 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 Xu-Hua Yang. Xu-Hua Yang 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.
Ma, Gangfeng, et al.. (2025). Graph Contrastive Learning for Multibehavior Recommendation. IEEE Transactions on Computational Social Systems. 12(6). 4025–4038.
2.
Yang, Xu-Hua, et al.. (2025). Reinforcement knowledge graph reasoning based on dual agents and attention mechanism. Applied Intelligence. 55(6). 1 indexed citations
3.
Hu, Hong‐Xiang, et al.. (2025). Scene graph generation based on lightweight entity pair object detection and relation classification ensemble. Neurocomputing. 637. 130130–130130. 1 indexed citations
4.
Yang, Xu-Hua, et al.. (2025). Graph self-supervised long-tail item augmentation for recommendation. Neural Computing and Applications. 37(20). 15017–15039.
5.
Dong, Wei, et al.. (2025). Cross-Modal Adaptive Prototype Learning for Continuous Sign Language Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7354–7367. 1 indexed citations
6.
Yang, Xu-Hua, Wei Dong, Lian Zhang, et al.. (2024). Task-related network based on meta-learning for few-shot knowledge graph completion. Applied Intelligence. 54(8). 5961–5975. 2 indexed citations
7.
Ma, Gangfeng, Xu-Hua Yang, Haixia Long, Yanbo Zhou, & Xinli Xu. (2024). Robust social recommendation based on contrastive learning and dual-stage graph neural network. Neurocomputing. 584. 127597–127597. 10 indexed citations
8.
Ma, Gangfeng, et al.. (2024). Adaptive denoising graph contrastive learning with memory graph attention for recommendation. Neurocomputing. 610. 128595–128595. 4 indexed citations
9.
Ma, Gangfeng, et al.. (2024). Robust Preference-Guided Based Disentangled Graph Social Recommendation. IEEE Transactions on Network Science and Engineering. 11(5). 4898–4910.
10.
Yang, Xu-Hua, et al.. (2023). Community Detection Based on Markov Similarity Enhancement. IEEE Transactions on Circuits & Systems II Express Briefs. 70(9). 3664–3668. 2 indexed citations
11.
Yang, Xu-Hua, et al.. (2023). Knowledge graph embedding and completion based on entity community and local importance. Applied Intelligence. 53(19). 22132–22142. 5 indexed citations
12.
Xu, Xinli, et al.. (2021). Attributed network community detection based on network embedding and parameter-free clustering. Applied Intelligence. 52(7). 8073–8086. 8 indexed citations
13.
Xiao, Jie, et al.. (2021). BM-RCGL: Benchmarking Approach for Localization of Reliability-Critical Gates in Combinational Logic Blocks. IEEE Transactions on Computers. 71(5). 1063–1076. 15 indexed citations
14.
Yang, Xu-Hua, et al.. (2020). Enhancing Coupled Networks Robustness via Removing Key Fragile Dependency Links. IEEE Transactions on Circuits & Systems II Express Briefs. 68(3). 953–957. 5 indexed citations
15.
Yang, Xu-Hua, et al.. (2018). Laplacian Centrality Peaks Clustering Based on Potential Entropy. IEEE Access. 6. 55462–55472. 2 indexed citations
16.
Yang, Xu-Hua, et al.. (2017). The impact of a public bicycle-sharing system on urban public transport networks. Transportation Research Part A Policy and Practice. 107. 246–256. 71 indexed citations
17.
Xiao, Jie, William Lee, Jianhui Jiang, & Xu-Hua Yang. (2016). Circuit reliability estimation based on an iterative PTM model with hybrid coding. Microelectronics Journal. 52. 117–123. 13 indexed citations
18.
Yang, Xu-Hua, et al.. (2013). Dynamically Weighted Clique Evolution Model in Clique Networks. Mathematical Problems in Engineering. 2013. 1–6. 2 indexed citations
19.
Yang, Xu-Hua. (2009). A Tentative Study in Teaching and Practice Reform of "Introduction of Artificial Intelligence ". Computer education.
20.
Yang, Xu-Hua, et al.. (2005). An Algorithm of Expressway Automatic Incident Detection Based on ART2 Neural Networks. Highway. 1 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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