Xiping Fu

671 total citations
12 papers, 437 citations indexed

About

Xiping Fu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiping Fu has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiping Fu's work include Network Security and Intrusion Detection (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Xiping Fu is often cited by papers focused on Network Security and Intrusion Detection (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Xiping Fu collaborates with scholars based in New Zealand, China and Australia. Xiping Fu's co-authors include Naeem Syed, Mengmeng Ge, Antonio Robles‐Kelly, Zubair Baig, Minrui Fei, Muhammad Ilyas Menhas, Ling Wang, Ling Wang, Phoebe S.‐H. Neo and Elizabeth A. Franz and has published in prestigious journals such as Australasian Journal of Paramedicine, Neurocomputing and Computer Networks.

In The Last Decade

Xiping Fu

11 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiping Fu New Zealand 5 318 292 195 50 46 12 437
Quang Uy Nguyen Vietnam 13 363 1.1× 507 1.7× 198 1.0× 43 0.9× 21 0.5× 42 638
Carla Purdy United States 10 219 0.7× 242 0.8× 138 0.7× 31 0.6× 38 0.8× 67 453
Ahmed Abusnaina United States 11 240 0.8× 359 1.2× 247 1.3× 39 0.8× 45 1.0× 27 550
Adnan Mohsin Abdulazeez Brifcani Iraq 9 232 0.7× 338 1.2× 134 0.7× 23 0.5× 30 0.7× 11 490
Man-Ki Yoon United States 12 223 0.7× 151 0.5× 73 0.4× 72 1.4× 63 1.4× 34 400
Amit Kulkarni United States 12 210 0.7× 98 0.3× 58 0.3× 43 0.9× 76 1.7× 30 389
Ang Cui United States 9 169 0.5× 216 0.7× 241 1.2× 37 0.7× 32 0.7× 16 395
Kostas Tsichlas Greece 9 191 0.6× 255 0.9× 109 0.6× 15 0.3× 7 0.2× 48 386
Wenjuan Wang China 8 197 0.6× 144 0.5× 80 0.4× 28 0.6× 33 0.7× 28 297

Countries citing papers authored by Xiping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiping Fu

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

All Works

12 of 12 papers shown
1.
Li, Pan, et al.. (2024). Time-of-Use Price Resource Scheduling in Multiplex Networked Industrial Chains. Tsinghua Science & Technology. 30(1). 303–317.
2.
Wu, Xingyu, et al.. (2024). Optimizing Risk-Aware Task Migration Algorithm Among Multiplex UAV Groups Through Hybrid Attention Multi-Agent Reinforcement Learning. Tsinghua Science & Technology. 30(1). 318–330. 1 indexed citations
3.
Fu, Xiping. (2022). The development trend of metal nanoparticle composite materials in visual communication design. Ferroelectrics. 596(1). 234–249. 2 indexed citations
4.
Neo, Phoebe S.‐H., et al.. (2021). Crosstalk disrupts the production of motor imagery brain signals in brain–computer interfaces. Health Information Science and Systems. 9(1). 13–13. 3 indexed citations
5.
Ge, Mengmeng, Naeem Syed, Xiping Fu, Zubair Baig, & Antonio Robles‐Kelly. (2021). Towards a deep learning-driven intrusion detection approach for Internet of Things. Computer Networks. 186. 107784–107784. 140 indexed citations
6.
Ge, Mengmeng, et al.. (2019). Deep Learning-Based Intrusion Detection for IoT Networks. Australasian Journal of Paramedicine. 256–265. 163 indexed citations
7.
Zeng, Weili, et al.. (2017). Wavelet denoising with generalized bivariate prior model. Multimedia Tools and Applications. 77(16). 20863–20887. 4 indexed citations
8.
Fu, Xiping, Brendan McCane, Michael Albert, & Steven Mills. (2013). Action recognition based on principal geodesic analysis. 13. 259–264. 2 indexed citations
9.
Fu, Xiping, Shawn Martin, Steven Mills, & Brendan McCane. (2013). Improved Spectral Clustering Using Adaptive Mahalanobis Distance. 2. 171–175. 1 indexed citations
10.
Wang, Ling, et al.. (2012). Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm. Computer Science and Information Systems. 9(4). 1553–1576. 7 indexed citations
11.
Wang, Ling, et al.. (2012). A novel modified binary differential evolution algorithm and its applications. Neurocomputing. 98. 55–75. 94 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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