Xinyu Niu

1.4k total citations
71 papers, 818 citations indexed

About

Xinyu Niu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xinyu Niu has authored 71 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Xinyu Niu's work include Advanced Neural Network Applications (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Embedded Systems Design Techniques (11 papers). Xinyu Niu is often cited by papers focused on Advanced Neural Network Applications (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Embedded Systems Design Techniques (11 papers). Xinyu Niu collaborates with scholars based in United Kingdom, China and Japan. Xinyu Niu's co-authors include Wayne Luk, Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Martin Ferianc, Rongxuan Zhao, Ho-Cheung Ng, Lin Liu, Liangying Zhang and Shuli Wang and has published in prestigious journals such as ACM Computing Surveys, Computer Physics Communications and Journal of Alloys and Compounds.

In The Last Decade

Xinyu Niu

65 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyu Niu United Kingdom 18 344 288 250 139 80 71 818
Kai Zhao China 17 246 0.7× 472 1.6× 306 1.2× 281 2.0× 291 3.6× 119 1.2k
Chen Yang China 17 241 0.7× 278 1.0× 255 1.0× 198 1.4× 153 1.9× 78 820
Jintao Zhang China 10 181 0.5× 635 2.2× 250 1.0× 120 0.9× 114 1.4× 31 957
Tong Geng United States 18 368 1.1× 339 1.2× 398 1.6× 289 2.1× 213 2.7× 70 951
Tinghuan Chen Hong Kong 11 212 0.6× 214 0.7× 177 0.7× 116 0.8× 42 0.5× 48 650
Li Shang China 14 337 1.0× 373 1.3× 149 0.6× 376 2.7× 203 2.5× 54 1.0k
Hiroki Nakahara Japan 16 485 1.4× 511 1.8× 321 1.3× 202 1.5× 110 1.4× 98 971
Peng Ouyang China 19 625 1.8× 751 2.6× 404 1.6× 175 1.3× 102 1.3× 77 1.4k
Haoyu Yang Hong Kong 21 254 0.7× 859 3.0× 304 1.2× 278 2.0× 35 0.4× 76 1.4k
Chengjun Wu China 6 135 0.4× 307 1.1× 135 0.5× 119 0.9× 116 1.4× 12 726

Countries citing papers authored by Xinyu Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Niu. A scholar is included among the top collaborators of Xinyu Niu 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 Xinyu Niu. Xinyu Niu 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
2.
Niu, Xinyu, et al.. (2024). E-plane waveguide bandpass filters based on high-order modes of spoof surface plasmon polaritons. Materials & Design. 246. 113309–113309. 3 indexed citations
3.
He, Haixia, et al.. (2023). Solubility, thermodynamic investigation and molecular dynamics simulation of guanidine hydrochloride in four binary solvents. Journal of Molecular Liquids. 389. 122902–122902. 7 indexed citations
4.
Xu, Xiong, et al.. (2023). Simple and effective complementary label learning based on mean square error loss. Machine Vision and Applications. 34(6). 1 indexed citations
5.
Que, Zhiqiang, Hiroki Nakahara, Hongxiang Fan, et al.. (2022). Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks. ACM Transactions on Reconfigurable Technology and Systems. 16(1). 1–26. 4 indexed citations
6.
Fan, Hongxiang, Martin Ferianc, Zhiqiang Que, et al.. (2022). Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3387–3399. 4 indexed citations
7.
Fan, Hongxiang, Martin Ferianc, Zhiqiang Que, et al.. (2022). FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5343–5356. 26 indexed citations
8.
Fan, Hongxiang, Martin Ferianc, Miguel R. D. Rodrigues, et al.. (2021). High-Performance FPGA-based Accelerator for Bayesian Neural Networks. 1063–1068. 17 indexed citations
9.
Guo, Ming, et al.. (2021). The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review. Remote Sensing. 13(20). 4029–4029. 11 indexed citations
10.
Fan, Hongxiang, Cheng Luo, Martin Ferianc, et al.. (2019). F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. 1–8. 39 indexed citations
11.
Wang, Erwei, James J. Davis, Rongxuan Zhao, et al.. (2019). Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. arXiv (Cornell University). 15 indexed citations
12.
Yi, Xiaoyang, Haizhen Wang, Weihong Gao, et al.. (2019). Control of microstructural characteristics and martensitic transformation behavior of Ti–Ni–Cu alloys by Pt doping. Journal of Alloys and Compounds. 802. 181–189. 18 indexed citations
13.
Que, Zhiqiang, Yanyang Liu, Ce Guo, et al.. (2019). Real-Time Anomaly Detection for Flight Testing Using AutoEncoder and LSTM. 379–382. 26 indexed citations
14.
Liu, Shuanglong, et al.. (2018). Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA. ACM Transactions on Reconfigurable Technology and Systems. 11(3). 1–22. 56 indexed citations
15.
Zhao, Rongxuan, Tim Todman, Wayne Luk, & Xinyu Niu. (2017). DeepPump: Multi-pumping deep Neural Networks. Spiral (Imperial College London). 206–206. 2 indexed citations
16.
Niu, Xinyu, Wayne Luk, & Yu Wang. (2015). EURECA. 74–83. 9 indexed citations
18.
Niu, Xinyu, et al.. (2014). Elastic Management of Reconfigurable Accelerators. 22. 174–181. 4 indexed citations
19.
Niu, Xinyu, et al.. (2013). Aspect driven compilation for dataflow designs. 18–25. 3 indexed citations
20.
Niu, Xinyu, et al.. (2012). Exploiting run-time reconfiguration in stencil computation. 4. 173–180. 14 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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