Lu Dong

582 citations
22 papers · 332 · h-index 11

Impact in

    • Distributed and Parallel Computing Systems
    • Network Traffic and Congestion Control
    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Parallel Computing and Optimization Techniques

Papers in

Lu Dong

22 papers receiving 317 citations

Peers

Lu Dong
Comparison fields: 5 of 37
  • Computer Networks and Communications 247
  • Hardware and Architecture 55
  • Information Systems 83
  • Information Systems and Management 13
  • Polymers and Plastics 17
Replace Florian Metzger with:
Florian Metzger Germany
Jaehwan Lee South Korea
Da‐Zhi Sun China
Ming-Feng Chang Taiwan
Fengzhe Zhang China
Mehdi Letafati Iran
João Paulo Portugal
Karsten Henke Germany
Chad Brubaker United States
Sushant Sharma United States
Lu Dong relative to Florian Metzger Germany Florian Metzger's profile →
Citations per field
00.5×4.3×
Florian Metzger · 1×
Citations per year

Countries citing papers authored by Lu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Dong, 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 Lu Dong Line = papers co-authored together Lu Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200565
2 200550
3 200431
4 200327
5 202424
6 201721
7 202419
8 200313
9 202411
10 200311
11 200510
12 200410
13 20177
14 20086
15 20196
16 20055
17 20255
18 20253
19 20043
20 20052

About Lu Dong

Lu Dong is a scholar working on Computer Networks and Communications, Biomedical Engineering, Mechanical Engineering, Information Systems and Cognitive Neuroscience, having authored 22 papers that have together received 332 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Peer-to-Peer Network Technologies (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Network Traffic and Congestion Control (5 papers), Caching and Content Delivery (4 papers), Innovative Energy Harvesting Technologies (3 papers), Cloud Computing and Resource Management (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Computer Networks and Communications (247 citations), Hardware and Architecture (55 citations), Information Systems (83 citations), Information Systems and Management (13 citations) and Polymers and Plastics (17 citations). Lu Dong has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Peter A. Dinda, 義行 高橋, Fabián E. Bustamante, He Xu, Hengyu Li, Jianyang Zhu, Tinghai Cheng, Peng Li, Qian Zhang and Wenwu Zhu. Their work appears in journals such as Nano Energy, Chemical Engineering Journal, Journal of Grid Computing, Research and ACM Transactions on Computer Systems.

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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