Chentao Wu

1.0k total citations
94 papers, 658 citations indexed

About

Chentao Wu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Chentao Wu has authored 94 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 26 papers in Information Systems and 21 papers in Hardware and Architecture. Recurrent topics in Chentao Wu's work include Advanced Data Storage Technologies (51 papers), Caching and Content Delivery (39 papers) and Parallel Computing and Optimization Techniques (21 papers). Chentao Wu is often cited by papers focused on Advanced Data Storage Technologies (51 papers), Caching and Content Delivery (39 papers) and Parallel Computing and Optimization Techniques (21 papers). Chentao Wu collaborates with scholars based in China, United States and Japan. Chentao Wu's co-authors include Jie Li, Xubin He, Minyi Guo, Changsheng Xie, Qiang Cao, Xiaohua Liu, Guanying Wu, Jizhong Han, Xin Xie and Bo Feng and has published in prestigious journals such as Computer, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Computers.

In The Last Decade

Chentao Wu

80 papers receiving 626 citations

Peers

Chentao Wu
Comparison fields: 5 of 63
  • Computer Networks and Communications 541
  • Information Systems 176
  • Artificial Intelligence 122
  • Hardware and Architecture 95
  • Computer Vision and Pattern Recognition 57
Phillip W. Hutto United States
Chan-Gun Lee South Korea
Hyuck Han South Korea
Minyi Guo China
Elias P. Duarte Brazil
Dawei Li China
Yao Dai China
Amir Hossein Jahangir Iran
Ali Fanian Iran
Phillip W. Hutto United States View profile →
Citations per field, relative to Chentao Wu
Chentao Wu · 1×
Citations per year, relative to Chentao Wu
Chentao Wu · 1×

Countries citing papers authored by Chentao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chentao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chentao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chentao Wu. A scholar is included among the top collaborators of Chentao 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 Chentao Wu. Chentao 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
# Title Journal Authors Indexed citations
1 ESFL: Accelerating Poisonous Model Detection in Privacy-Preserving Federated Learning IEEE Transactions on Dependable and Secure Computing Jiong Lou, Kailai Li et al. 0
2 Towards Comprehensive Legal Document Analysis: A Multi-Round RAG Approach Jiong Lou, Chentao Wu et al. 0
3 Generative Diffusion Model-based Energy Management in Networked Energy Systems Jiawei Sun, Jiong Lou et al. 0
4 A stochastic learning algorithm for multi-agent game in mobile network: A Cross-Silo federated learning perspective Computer Networks Hongze Liu, Jiong Lou et al. 0
5 CKSM: An Efficient Memory Deduplication Method for Container-based Cloud Computing Systems Chentao Wu, Jie Li et al. 0
6 Efficient Serverless Function Scheduling in Edge Computing Jiong Lou, Zhiqing Tang et al. 2
7 Online Data Trading for Cloud-Edge Collaboration Architecture Rare & Special e-Zone (The Hong Kong University of Science and Technology) Yusen Wang, Jie Li et al. 1
8 BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework IEEE Transactions on Computers Jie Li, Jiong Lou et al. 8
9 GCC: Optimizing Space Efficiency and Read Latency of SSDs with Workload-Aware Garbage Collection Aided Compression Chentao Wu, Jie Li et al. 0
10 Efficient Online Computing Offloading for Budget- Constrained Cloud-Edge Collaborative Video Streaming Systems IEEE Transactions on Cloud Computing Yuxin Liu, Song Guo et al. 6
11 MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems Jieru Zhao, Zeke Wang et al. 1
12 Zero-Shot Scene Graph Generation with Knowledge Graph Completion 2022 IEEE International Conference on Multimedia and Expo (ICME) Jie Li, Xinyu Lu et al. 2
13 GRPU: An Efficient Graph-based Cross-Rack Parallel Update Scheme for Cloud Storage Systems Chentao Wu, Shiyi Li et al. 1
14 DCVP: Distributed Collaborative Video Stream Processing in Edge Computing Jie Li, Chentao Wu et al. 13
15 Loc-K: A Spatial Locality-Based Memory Deduplication Scheme with Prediction on K-Step Locations Chentao Wu, Jie Li et al. 4
16 BDR: A Balanced Data Redistribution scheme to accelerate the scaling process of XOR-based Triple Disk Failure Tolerant arrays Chentao Wu, Jie Li et al. 5
17 Distributed Virtual Diskless Checkpointing: A Highly Fault Tolerant Scheme for Virtualized Clusters B. Eckart, Xubin He et al. 3
18 SDM: A Stripe-Based Data Migration Scheme to Improve the Scalability of RAID-6 Chentao Wu, Xubin He et al. 28
19 H-Code: A Hybrid MDS Array Code to Optimize Partial Stripe Writes in RAID-6 Chentao Wu, Xubin He et al. 51
20 Hotspot Prediction and cache in distributed stream-processing storage systems Chentao Wu, Xubin He et al. 2

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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