Di Wu

325 total papers · 9.4k total citations
220 papers, 6.7k citations indexed

About

Di Wu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Di Wu has authored 220 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Networks and Communications, 64 papers in Computer Vision and Pattern Recognition and 61 papers in Artificial Intelligence. Recurrent topics in Di Wu's work include Caching and Content Delivery (54 papers), Image and Video Quality Assessment (38 papers) and Peer-to-Peer Network Technologies (28 papers). Di Wu is often cited by papers focused on Caching and Content Delivery (54 papers), Image and Video Quality Assessment (38 papers) and Peer-to-Peer Network Technologies (28 papers). Di Wu collaborates with scholars based in China, Australia and United States. Di Wu's co-authors include Min Chen, Yong Li, Liang Xiao, David A. Kofke, Yin Zhang⋆, Yipeng Zhou, Depeng Jin, Xueshi Hou, Sheng Chen and Xiaoyue Wan and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Journal of Clinical Oncology.

In The Last Decade

Di Wu

204 papers receiving 6.6k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

2016 702 citations Xueshi Hou, Yong Li et al. IEEE Transactions on Vehicular Technology profile →
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

2018 457 citations Liang Xiao, Xiaoyue Wan et al. IEEE Signal Processing Magazine profile →
Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

2019 433 citations Minghui Min, Liang Xiao et al. IEEE Transactions on Vehicular Technology profile →
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network

2017 301 citations Min Chen, Xiaobo Shi et al. IEEE Transactions on Big Data profile →
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network

2020 255 citations Shuai Yu, Xu Chen et al. IEEE Internet of Things Journal profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Di Wu	3.7k	1.7k	1.6k	1.4k	1.4k	220	6.7k
Jia Wang	3.3k 0.9×	1.9k 1.2×	1.7k 1.1×	1.2k 0.8×	599 0.4×	271	6.8k
Muhammad Shafiq	2.9k 0.8×	1.1k 0.7×	1.8k 1.2×	802 0.6×	1.2k 0.9×	266	7.1k
Wei Wei	2.1k 0.6×	1.4k 0.9×	2.4k 1.5×	1.7k 1.2×	1.3k 1.0×	459	8.2k
Bu‐Sung Lee	3.3k 0.9×	856 0.5×	1.4k 0.9×	802 0.6×	2.3k 1.7×	369	7.0k
Kuan Zhang	3.3k 0.9×	2.2k 1.3×	2.5k 1.6×	535 0.4×	2.1k 1.5×	291	8.0k
Xiaojie Wang	3.8k 1.0×	2.8k 1.7×	1.4k 0.9×	771 0.6×	1.4k 1.0×	207	7.2k
Zhibo Wang	1.7k 0.5×	1.7k 1.0×	2.7k 1.7×	794 0.6×	982 0.7×	271	6.6k
Chien‐Ming Chen	2.5k 0.7×	960 0.6×	1.7k 1.1×	556 0.4×	2.5k 1.9×	381	6.6k
Lei Guo	4.3k 1.2×	2.3k 1.4×	1.3k 0.9×	935 0.7×	1.3k 0.9×	281	7.1k
Mohamed Elhoseny	3.1k 0.8×	1.5k 0.9×	2.9k 1.9×	2.6k 1.9×	2.1k 1.6×	253	10.4k

Countries citing papers authored by Di Wu

Since Specialization

Citations

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

Fields of papers citing papers by Di Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wu

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

All Works

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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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