Xiongwei Wu

2.0k total citations · 2 hit papers
23 papers, 1.3k citations indexed

About

Xiongwei Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Xiongwei Wu has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Xiongwei Wu's work include Cooperative Communication and Network Coding (6 papers), Caching and Content Delivery (5 papers) and Advanced Neural Network Applications (5 papers). Xiongwei Wu is often cited by papers focused on Cooperative Communication and Network Coding (6 papers), Caching and Content Delivery (5 papers) and Advanced Neural Network Applications (5 papers). Xiongwei Wu collaborates with scholars based in China, Hong Kong and Singapore. Xiongwei Wu's co-authors include Steven C. H. Hoi, Doyen Sahoo, Victor C. M. Leung, P.C. Ching, Xiuhua Li, Tan Wang, Qianru Sun, Xian‐Sheng Hua, Hanwang Zhang and Jun Li and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and Neurocomputing.

In The Last Decade

Xiongwei Wu

20 papers receiving 1.2k citations

Hit Papers

Recent advances in deep learning for object detection 2020 2026 2022 2024 2020 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiongwei Wu China 12 646 291 213 180 141 23 1.3k
Zhi Zhang China 14 468 0.7× 602 2.1× 192 0.9× 228 1.3× 84 0.6× 62 1.4k
Mamoona Naveed Asghar Ireland 17 723 1.1× 239 0.8× 106 0.5× 82 0.5× 76 0.5× 64 1.2k
Doyen Sahoo Singapore 11 607 0.9× 428 1.5× 62 0.3× 101 0.6× 100 0.7× 21 1.3k
Hongshan Yu China 19 491 0.8× 314 1.1× 106 0.5× 257 1.4× 250 1.8× 52 1.1k
Wei Ke Macao 19 581 0.9× 306 1.1× 118 0.6× 107 0.6× 94 0.7× 172 1.2k
Hao Gao China 18 613 0.9× 503 1.7× 84 0.4× 135 0.8× 108 0.8× 116 1.4k
Abdussalam Elhanashi Italy 19 393 0.6× 304 1.0× 128 0.6× 147 0.8× 78 0.6× 36 1.1k
Siyuan Qiao United States 13 1.0k 1.6× 375 1.3× 73 0.3× 67 0.4× 185 1.3× 25 1.4k
Junbao Li China 17 471 0.7× 194 0.7× 75 0.4× 237 1.3× 127 0.9× 90 1.1k

Countries citing papers authored by Xiongwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiongwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongwei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongwei Wu. A scholar is included among the top collaborators of Xiongwei 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 Xiongwei Wu. Xiongwei 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
2.
We, Tang, et al.. (2023). A novel cooperative path planning method based on UCR-FCE and behavior regulation for large-scale multi-robot system. Applied Intelligence. 53(24). 30706–30745. 1 indexed citations
3.
Wu, Xiongwei, et al.. (2023). A practical method for robot navigation in variable indoor scenes. 2354–2359.
4.
Li, Jun, Yijin Zhang, Qingqing Wu, et al.. (2022). Collaborative Intelligent Reflecting Surface Networks With Multi-Agent Reinforcement Learning. IEEE Journal of Selected Topics in Signal Processing. 16(3). 532–545. 24 indexed citations
5.
Wang, Tan, et al.. (2022). Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 959–968. 138 indexed citations breakdown →
6.
Sun, Chuan, Xiongwei Wu, Xiuhua Li, et al.. (2021). Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. IEEE Transactions on Network Science and Engineering. 11(6). 5601–5614. 76 indexed citations
7.
Wu, Xiongwei, Xiuhua Li, Jun Li, et al.. (2021). Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic. IEEE Transactions on Communications. 69(9). 5886–5901. 53 indexed citations
8.
Wu, Xiongwei, Steven C. H. Hoi, & Doyen Sahoo. (2021). PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. International Conference on Learning Representations. 4 indexed citations
9.
Wu, Xiongwei, Jun Li, Ming Xiao, P.C. Ching, & H. Vincent Poor. (2021). Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization. IEEE Transactions on Wireless Communications. 20(8). 5258–5272. 31 indexed citations
11.
Wu, Xiongwei, Xiuhua Li, Jun Li, P.C. Ching, & H. Vincent Poor. (2020). Deep Reinforcement Learning for loT Networks: Age of Information and Energy Cost Tradeoff. 1–6. 19 indexed citations
12.
Wu, Xiongwei, Doyen Sahoo, & Steven C. H. Hoi. (2020). Recent advances in deep learning for object detection. Neurocomputing. 396. 39–64. 711 indexed citations breakdown →
14.
Wu, Xiongwei, Qiang Li, Xiuhua Li, Victor C. M. Leung, & P.C. Ching. (2020). Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks. IEEE Transactions on Communications. 68(5). 3173–3186. 22 indexed citations
15.
Wu, Xiongwei, Doyen Sahoo, & Steven C. H. Hoi. (2020). Meta-RCNN: Meta Learning for Few-Shot Object Detection. 1679–1687. 51 indexed citations
16.
Wu, Xiongwei, et al.. (2020). Latency-Minimized Design of secure transmissions in UAV-Aided Communications. 8753–8757. 2 indexed citations
17.
Wu, Xiongwei, Xiuhua Li, Qiang Li, Victor C. M. Leung, & P.C. Ching. (2019). Latency Driven Fronthaul Bandwidth Allocation and Cooperative Beamforming for Cache-enabled Cloud-based Small Cell Networks. 4594–4598. 9 indexed citations
18.
Wu, Xiongwei, et al.. (2019). Feature agglomeration networks for single stage face detection. Neurocomputing. 380. 180–189. 54 indexed citations
19.
Zhang, Tong, Xiongwei Wu, Yinfei Xu, Yao Ge, & P.C. Ching. (2018). Three-User Mimo Broadcast Channel with Delayed Csit: A Higher Achievable DoF. 3709–3713. 8 indexed citations
20.
Wu, Xiongwei & P.C. Ching. (2018). Content Delivery Design for Cache-Aided Cloud Radio Access Network to Achieve Low Latency. abs 1705 4070. 3749–3753. 4 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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