Mi Lu

1.4k citations
115 papers · 1.0k · h-index 18

Impact in

Papers in

Mi Lu

103 papers receiving 993 citations

Peers

Mi Lu
Comparison fields: 5 of 112
  • Hardware and Architecture 73
  • Computer Networks and Communications 225
  • Computer Vision and Pattern Recognition 157
  • Automotive Engineering 82
  • Electrical and Electronic Engineering 381
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Qiang Liu China
Trio Adiono Indonesia
Mohammad Hammoud Lebanon
Tian Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Mi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202281
2 201754
3 199445
4 200343
5 200340
6 201638
7 200437
8 202135
9 202232
10 201932
11 201623
12 201223
13 201923
14 201721
15
Group-Alignment based Accurate Floating-Point Summation on FPGAs.
200618
16 200018
17 200318
18 201617
19 201917
20 202116

About Mi Lu

Mi Lu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 115 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (13 papers), Mobile Ad Hoc Networks (11 papers), Parallel Computing and Optimization Techniques (8 papers), Cooperative Communication and Network Coding (7 papers), Wireless Networks and Protocols (7 papers), Interconnection Networks and Systems (7 papers), Algorithms and Data Compression (6 papers) and Numerical Methods and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (73 citations), Computer Networks and Communications (225 citations), Computer Vision and Pattern Recognition (157 citations), Automotive Engineering (82 citations) and Electrical and Electronic Engineering (381 citations). Mi Lu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Zhijun Cai, Hua Lin, Yanchun Xu, Xiaodong Wang, Debin Liu, C.N. Georghiades, Cheng Zhang, Weimin Chen, Faquan Yu and Liang Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems, Energy and Buildings, Journal of Parallel and Distributed Computing and IEEE Transactions on Very Large Scale Integration (VLSI) 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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