Xu Yang

1.1k total citations
100 papers, 712 citations indexed

About

Xu Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xu Yang has authored 100 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Computer Networks and Communications. Recurrent topics in Xu Yang's work include Advanced Memory and Neural Computing (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Interconnection Networks and Systems (9 papers). Xu Yang is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Interconnection Networks and Systems (9 papers). Xu Yang collaborates with scholars based in China, United Kingdom and United States. Xu Yang's co-authors include Jingxiao Zhang, Xin Gao, Hu He, Wei Wei, Tu Peng, Tingting Qiao, Xiaoya Chen, Yongjie Ma, Zhiyong Cheng and Jingjing Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Xu Yang

89 papers receiving 688 citations

Peers

Xu Yang
Anahid Basiri United Kingdom
Antonio Sutera Belgium
Renato Cordeiro de Amorim United Kingdom
Miguel Ángel Manso Callejo Spain
Aamir Hussain Pakistan
Sulaiman Khan Pakistan
Jukka M. Krisp Germany
Haitao Yang China
Anahid Basiri United Kingdom
Xu Yang
Citations per year, relative to Xu Yang Xu Yang (= 1×) peers Anahid Basiri

Countries citing papers authored by Xu Yang

Since Specialization
Citations

This map shows the geographic impact of Xu 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 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 Yang more than expected).

Fields of papers citing papers by Xu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Yang. A scholar is included among the top collaborators of Xu 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 Yang. Xu 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
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Cai, Jian, et al.. (2024). Adaptive structure generation and neuronal differentiation for memory encoding in SNNs. Neurocomputing. 610. 128470–128470. 1 indexed citations
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Bashir, Muhammad Amjad, Xu Yang, Hongyuan Wang, et al.. (2024). Integrated rice-crab co-culture system shows capability to reduce greenhouse gases emission and global warming potential. Aquaculture. 598. 742047–742047. 4 indexed citations
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Yang, Xu, et al.. (2024). Spikeformer: Training high-performance spiking neural network with transformer. Neurocomputing. 574. 127279–127279. 9 indexed citations
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Yang, Xu & Yongjie Ma. (2023). Evolutionary neural architecture search combining multi-branch ConvNet and improved transformer. Scientific Reports. 13(1). 15791–15791. 5 indexed citations
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Yang, Min, et al.. (2022). A Hidden Markov Ensemble Algorithm Design for Time Series Analysis. Sensors. 22(8). 2950–2950. 2 indexed citations
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Yang, Xu, et al.. (2022). Adaptive Neural Network Structure Optimization Algorithm Based on Dynamic Nodes. Current Issues in Molecular Biology. 44(2). 817–832.
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Wang, Xiaofeng, et al.. (2021). Optimized Neural Network Based on Genetic Algorithm to Construct Hand-Foot-and-Mouth Disease Prediction and Early-Warning Model. International Journal of Environmental Research and Public Health. 18(6). 2959–2959. 7 indexed citations
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He, Hu, Xu Yang, Zhiheng Xu, et al.. (2019). Implementing artificial neural networks through bionic construction. PLoS ONE. 14(2). e0212368–e0212368. 6 indexed citations
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He, Hu, et al.. (2018). Improving ILP via Fused In-Order Superscalar and VLIW Instruction Dispatch Methods. Journal of Circuits Systems and Computers. 28(2). 1950020–1950020. 1 indexed citations
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He, Hu, et al.. (2016). FuMicro: A Fused Microarchitecture Design Integrating In-Order Superscalar and VLIW. VLSI design. 2016. 1–12. 4 indexed citations
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Yang, Xu, et al.. (2014). The Research and Design of Experimental Prototype in Flapping-Wing Micro-Air-Vehicles. 7(3). 9–15. 2 indexed citations
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Yang, Xu. (2012). Research on the Relation among Economic Development,Environment Pollution and Energy Consumption Based on VECM Model. Geography and Geo-Information Science. 2 indexed citations
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Yang, Xu. (2011). An MPI Implementation for Embeded Real Time Operation System. Microelectronics & Computer.
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Yang, Xu, et al.. (2008). ON FP-FILTERS AND FPD-FILTERS OF LATTICE IMPLICATION ALGEBRA. Journal of applied mathematics & informatics. 26. 653–660. 1 indexed citations
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Wang, Xingyuan & Xu Yang. (2005). The Cause-results Analysis for Importance-Possibility(IPCA) and It's Applications. Industrial Engineering and Management.

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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