Xiaodong Fu

2.1k citations
157 papers · 1.4k · h-index 20

Impact in

    • IoT and Edge/Fog Computing
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Software-Defined Networks and 5G
    • Peer-to-Peer Network Technologies
    • Cloud Computing and Resource Management

Papers in

Xiaodong Fu

140 papers receiving 1.3k citations

Peers

Xiaodong Fu
Comparison fields: 5 of 126
  • Computer Networks and Communications 533
  • Information Systems 357
  • Fluid Flow and Transfer Processes 94
  • Geology 53
  • Computer Vision and Pattern Recognition 126
Replace Bo Chen with:
Bo Chen China
Bin Wang China
Yang China
Yanjun Li China
Bo Sun China
Yuchen Zhang China
Qian Li China
Арун Кумар India
Abdullah Khan Pakistan
Zhenhua Li China
Xiaodong Fu relative to Bo Chen China Bo Chen's profile →
Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Xiaodong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodong Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodong Fu Line = papers co-authored together Xiaodong Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2
CANS: composable, adaptive network services infrastructure
200195
3 202247
4 202146
5 202044
6 202239
7 201734
8 202030
9 201930
10 202130
11 200529
12 202027
13 202126
14 201424
15 201824
16 202123
17 202122
18 200322
19 201021
20 201319

About Xiaodong Fu

Xiaodong Fu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 157 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (15 papers), Service-Oriented Architecture and Web Services (13 papers), Hydrocarbon exploration and reservoir analysis (10 papers), Privacy-Preserving Technologies in Data (9 papers), Software System Performance and Reliability (9 papers), Caching and Content Delivery (9 papers) and Gene expression and cancer classification (8 papers). The work is most often cited by research in Computer Networks and Communications (533 citations), Information Systems (357 citations), Fluid Flow and Transfer Processes (94 citations), Geology (53 citations) and Computer Vision and Pattern Recognition (126 citations). Xiaodong Fu has collaborated with scholars based in China, United States and India. Frequent co-authors include Junjie Pang, Gaochao Xu, Gaochao Xu, Shaobin Wang, Na Wang, Li Liu, Vijay Karamcheti, Weisong Shi, Nansheng Qiu and Yong Feng. Their work appears in journals such as IEEE Access, Fuel, Methods, Multimedia Tools and Applications and Applied Sciences.

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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