Guilu Wu

774 total citations · 2 hit papers
34 papers, 500 citations indexed

About

Guilu Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Guilu Wu has authored 34 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 14 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Guilu Wu's work include Vehicular Ad Hoc Networks (VANETs) (10 papers), Advanced MIMO Systems Optimization (7 papers) and Advanced Wireless Communication Technologies (6 papers). Guilu Wu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (10 papers), Advanced MIMO Systems Optimization (7 papers) and Advanced Wireless Communication Technologies (6 papers). Guilu Wu collaborates with scholars based in China, Pakistan and Australia. Guilu Wu's co-authors include Uzair Aslam Bhatti, Shah Marjan, Hao Tang, Aamir Hussain, Sibghat Ullah Bazai, Pingping Xu, Huilin Jiang, Ahmad Hasnain, Mughair Aslam Bhatti and Saqib Ali Nawaz and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Guilu Wu

29 papers receiving 484 citations

Hit Papers

Deep Learning with Graph Convolutional Networks: An Overv... 2023 2026 2024 2025 2023 2023 50 100 150 200
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. Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
    2023 231 citations Uzair Aslam Bhatti, Hao Tang et al. International Journal of Intelligent Systems profile →
  2. MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network
    2023 123 citations Uzair Aslam Bhatti, Shah Marjan et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilu Wu China 8 120 104 97 85 46 34 500
Libin Jiao China 13 94 0.8× 146 1.4× 58 0.6× 86 1.0× 82 1.8× 47 439
Shah Marjan Pakistan 10 140 1.2× 108 1.0× 52 0.5× 61 0.7× 52 1.1× 21 593
Jinxing Hu China 14 60 0.5× 99 1.0× 192 2.0× 57 0.7× 47 1.0× 45 636
Sibghat Ullah Bazai Pakistan 10 88 0.7× 68 0.7× 39 0.4× 55 0.6× 46 1.0× 42 442
Bo Jin China 14 183 1.5× 206 2.0× 68 0.7× 54 0.6× 44 1.0× 72 857
Radwa Marzouk Saudi Arabia 14 142 1.2× 131 1.3× 59 0.6× 85 1.0× 26 0.6× 58 478
Alawi Alqushaibi Malaysia 12 269 2.2× 126 1.2× 107 1.1× 47 0.6× 17 0.4× 31 730
Mohammed Gamal Ragab Malaysia 11 208 1.7× 113 1.1× 92 0.9× 45 0.5× 14 0.3× 22 644

Countries citing papers authored by Guilu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guilu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guilu Wu. A scholar is included among the top collaborators of Guilu Wu 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 Guilu Wu. Guilu Wu 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.
Shu, Feng, Wei Gao, Guilu Wu, et al.. (2025). A Novel-Deep-Neural-Network-Architecture-Based GAN-DRANet for DOA Sensing With an Enhanced Performance in Low SNR. IEEE Internet of Things Journal. 12(13). 22610–22622.
2.
Wang, Hao, Qi Zhou, Lei Lü, et al.. (2025). A Lightweight and Efficient Plant Disease Detection Method Integrating Knowledge Distillation and Dual-Scale Weighted Convolutions. Algorithms. 18(7). 433–433. 1 indexed citations
3.
Shu, Feng, et al.. (2024). Power Allocation and Beamforming Design for IRS-Aided Secure Directional Modulation Networks. IEEE Wireless Communications Letters. 13(11). 2990–2994.
4.
Wu, Guilu, et al.. (2024). Resource Allocation for Intelligent Reflecting Surface Enabled Target Tracking in Integrated Sensing and Communication Systems. IEEE Open Journal of Vehicular Technology. 6. 1–12. 1 indexed citations
5.
Wu, Guilu, et al.. (2024). Accuracy Estimation of Multi-RISs Assisted Positioning in Indoor UWB System. IEEE Wireless Communications Letters. 14(3). 721–725.
6.
Wu, Guilu, et al.. (2024). Capacity Analysis of Reconfigurable Intelligent Surface-Assisted in Overlay/Underlay Vehicular Networks. IEEE Sensors Journal. 24(20). 33481–33491. 1 indexed citations
7.
Bhatti, Uzair Aslam, et al.. (2023). MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network. Expert Systems with Applications. 229. 120496–120496. 123 indexed citations breakdown →
8.
9.
Li, Yifan, et al.. (2023). Low-Complexity Three-Dimensional AOA-Cross Geometric Center Localization Methods via Multi-UAV Network. Drones. 7(5). 318–318. 4 indexed citations
10.
Bhatti, Uzair Aslam, Hao Tang, Guilu Wu, Shah Marjan, & Aamir Hussain. (2023). Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence. International Journal of Intelligent Systems. 2023(1). 231 indexed citations breakdown →
11.
Wu, Guilu, Fan Li, & Huilin Jiang. (2022). Analysis of Multipath Fading and Doppler Effect with Multiple Reconfigurable Intelligent Surfaces in Mobile Wireless Networks. Wireless Communications and Mobile Computing. 2022(1). 7 indexed citations
12.
Bhatti, Uzair Aslam, Guilu Wu, Sibghat Ullah Bazai, et al.. (2022). A Pre- to Post-COVID-19 Change of Air QualityPatterns in Anhui Province Using Path Analysisand Regression. Polish Journal of Environmental Studies. 31(5). 4029–4042. 40 indexed citations
13.
14.
Wu, Guilu, et al.. (2021). Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario. Electronics. 10(23). 3038–3038. 6 indexed citations
15.
Wu, Guilu, Pingping Xu, Shujun Wang, & Huilin Jiang. (2020). Relay transmission under mobile edge computing in energy-limited networks with real-time constraints. Journal of Algorithms & Computational Technology. 14. 4 indexed citations
16.
Wu, Guilu, et al.. (2019). Analysis and Design of Functional Device for Vehicular Cloud Computing. Electronics. 8(5). 583–583. 1 indexed citations
17.
18.
Xu, Pingping, et al.. (2017). Energy-Efficient Localization Game for Wireless Sensor Networks. IEEE Communications Letters. 21(11). 2468–2471. 1 indexed citations
19.
Wu, Guilu & Pingping Xu. (2017). Improving Performance by a Dynamic Adaptive Success-Collision Backoff Algorithm for Contention-Based Vehicular Network. IEEE Access. 6. 2496–2505. 13 indexed citations
20.
Xu, Pingping, et al.. (2016). An Accurate and Energy-Efficient Localization Algorithm for Wireless Sensor Networks. 58. 1–5. 7 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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