Celimuge Wu

9.1k total citations · 4 hit papers
323 papers, 6.4k citations indexed

About

Celimuge Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Celimuge Wu has authored 323 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Computer Networks and Communications, 169 papers in Electrical and Electronic Engineering and 64 papers in Artificial Intelligence. Recurrent topics in Celimuge Wu's work include Vehicular Ad Hoc Networks (VANETs) (88 papers), Opportunistic and Delay-Tolerant Networks (64 papers) and Mobile Ad Hoc Networks (64 papers). Celimuge Wu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (88 papers), Opportunistic and Delay-Tolerant Networks (64 papers) and Mobile Ad Hoc Networks (64 papers). Celimuge Wu collaborates with scholars based in Japan, China and Finland. Celimuge Wu's co-authors include Yusheng Ji, Tsutomu Yoshinaga, Zhi Liu, Kok‐Lim Alvin Yau, Toshihiko Kato, Satoshi Ohzahata, Mehdi Bennis, Xianfu Chen, Honggang Zhang and Xianfu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Celimuge Wu

285 papers receiving 6.3k citations

Hit Papers

Optimized Computation Offloading Performance in Virtual E... 2018 2026 2020 2023 2018 2019 2020 2021 100 200 300 400 500
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. Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
    2018 541 citations Honggang Zhang, Celimuge Wu et al. IEEE Internet of Things Journal profile →
  2. Edge Computing in 5G: A Review
    2019 267 citations Kok‐Lim Alvin Yau, Celimuge Wu et al. IEEE Access profile →
  3. Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
    2020 262 citations Celimuge Wu, Tsutomu Yoshinaga et al. profile →
  4. IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design
    2021 246 citations Celimuge Wu et al. IEEE Transactions on Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Celimuge Wu Japan 39 3.9k 3.4k 1.3k 1.1k 865 323 6.4k
Lei Liu China 41 2.9k 0.8× 2.8k 0.8× 1.1k 0.9× 999 0.9× 827 1.0× 299 5.6k
Supeng Leng China 37 4.9k 1.3× 3.9k 1.1× 1.2k 0.9× 1.7k 1.6× 660 0.8× 276 7.0k
Yusheng Ji Japan 42 5.3k 1.4× 4.5k 1.3× 1.3k 1.0× 1.2k 1.1× 513 0.6× 455 8.1k
Feng Lyu China 34 2.8k 0.7× 2.3k 0.7× 1.1k 0.8× 627 0.6× 1.4k 1.6× 133 5.0k
Linghe Kong China 40 2.6k 0.7× 3.0k 0.9× 832 0.6× 1.0k 1.0× 496 0.6× 258 6.0k
Wei Ni Australia 39 3.8k 1.0× 3.2k 0.9× 1.0k 0.8× 1.8k 1.7× 1.3k 1.5× 340 6.8k
Qingqi Pei China 37 2.2k 0.6× 1.8k 0.5× 1.6k 1.2× 1.2k 1.2× 425 0.5× 219 5.0k
Ke Zhang China 32 5.3k 1.4× 3.5k 1.0× 2.3k 1.7× 2.6k 2.5× 546 0.6× 150 8.3k
Sahil Garg Canada 48 3.9k 1.0× 1.9k 0.6× 2.4k 1.9× 2.3k 2.1× 667 0.8× 254 7.3k
Lian Zhao Canada 43 3.3k 0.8× 3.1k 0.9× 613 0.5× 545 0.5× 1.2k 1.3× 241 5.3k

Countries citing papers authored by Celimuge Wu

Since Specialization
Citations

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

Fields of papers citing papers by Celimuge Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celimuge Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Celimuge Wu. A scholar is included among the top collaborators of Celimuge 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 Celimuge Wu. Celimuge 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.
Wu, Celimuge, et al.. (2025). Multirepresentation Spatial-Temporal Graph Convolutional Networks for Network Traffic Prediction. IEEE Internet of Things Journal. 12(13). 23085–23099.
2.
Li, Zixuan, et al.. (2024). YOLO-MPAM: Efficient real-time neural networks based on multi-channel feature fusion. Expert Systems with Applications. 252. 124282–124282. 14 indexed citations
3.
Yoshinaga, Tsutomu, et al.. (2024). Digital Twin-Enabled Internet of Vehicles Applications. Electronics. 13(7). 1263–1263. 9 indexed citations
4.
Zhou, Shuang, Luhan Wang, Zhaoming Lu, et al.. (2024). Autonomous Driving via Knowledge-Enhanced Safe Reinforcement Learning. IEEE Transactions on Intelligent Vehicles. 10(1). 359–372. 2 indexed citations
5.
Liu, Shengli, et al.. (2024). Storage-Aware Joint User Scheduling and Bandwidth Allocation for Federated Edge Learning. IEEE Transactions on Cognitive Communications and Networking. 11(1). 581–593. 3 indexed citations
6.
Li, Xueqiang, Ming Tao, Mian Ahmad Jan, et al.. (2024). AI-Empowered Intelligent Search for Path Planning in UAV-Assisted Data Collection Networks. IEEE Internet of Things Journal. 11(21). 34492–34503. 1 indexed citations
7.
Li, Peng, et al.. (2024). Non-Clairvoyant Scheduling of Distributed Machine Learning With Inter-Job and Intra-Job Parallelism on Heterogeneous GPUs. IEEE Transactions on Cloud Computing. 12(4). 1011–1025. 1 indexed citations
8.
Zhang, Xiang, et al.. (2024). MBSNet: To Distinguish Motion From Stillness for Airport Traffic Safety. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16817–16830.
9.
Yin, Rui, et al.. (2024). Joint Beamforming and Frame Structure Design for ISAC Networks Under Imperfect Synchronization. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2259–2274. 1 indexed citations
10.
He, Yuanyuan, et al.. (2024). Contrastive Learning-Based Speech Spoofing Detection for Multimedia Security in Edge Intelligence. ACM Transactions on Multimedia Computing Communications and Applications. 21(8). 1–21.
11.
Wang, Yanting, et al.. (2024). Intelligent Online Computation Offloading for Wireless-Powered Mobile-Edge Computing. IEEE Internet of Things Journal. 11(17). 28960–28974. 3 indexed citations
12.
13.
Liu, Jingwei, et al.. (2023). Blockchain-Aided Privacy-Preserving Medical Data Sharing Scheme for E-Healthcare System. IEEE Internet of Things Journal. 10(24). 21377–21388. 46 indexed citations
14.
Gao, Ying, Qingqing Wu, Wen Chen, et al.. (2023). Exploiting Intelligent Reflecting Surfaces for Interference Channels With SWIPT. IEEE Transactions on Wireless Communications. 23(5). 4442–4458. 5 indexed citations
15.
Wu, Qingqing, et al.. (2023). Performance-Oriented Design for Intelligent Reflecting Surface-Assisted Federated Learning. IEEE Transactions on Communications. 71(9). 5228–5243. 16 indexed citations
16.
Yau, Kok‐Lim Alvin, et al.. (2021). Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms. Applied Sciences. 11(22). 10870–10870. 17 indexed citations
17.
18.
Li, Yifei, Celimuge Wu, & Tsutomu Yoshinaga. (2020). Vehicle Speed Prediction with Convolutional Neural Networks for ITS. 41–46. 9 indexed citations
19.
Chen, Xianfu, Zhifeng Zhao, Celimuge Wu, et al.. (2019). Secrecy preserving in stochastic resource orchestration for multi-tenancy network slicing. University of Oulu Repository (University of Oulu). 1 indexed citations
20.
Liu, Xin, Xiangping Zhai, Weidang Lu, & Celimuge Wu. (2019). QoS-Guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things With NOMA. IEEE Transactions on Industrial Informatics. 17(3). 2052–2061. 210 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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