Mian Lu

1.9k citations
46 papers · 1.5k · h-index 17

Impact in

Papers in

Mian Lu

42 papers receiving 1.4k citations

Peers

Mian Lu
Comparison fields: 5 of 65
  • Hardware and Architecture 478
  • Computer Networks and Communications 1.0k
  • Signal Processing 431
  • Information Systems 565
  • Computer Vision and Pattern Recognition 300
Replace Wenbin Fang with:
Wenbin Fang Hong Kong
John Cavazos United States
Jingren Zhou United States
Jörg Keller Germany
Duane Merrill United States
Zhengping Qian China
Kanat Tangwongsan United States
Julian Shun United States
Marcin Żukowski Netherlands
Rui Miao United States
Mian Lu relative to Wenbin Fang Hong Kong Wenbin Fang's profile →
Citations per field
00.5×2×4×6×8.2×
Wenbin Fang · 1×
Citations per year

Countries citing papers authored by Mian Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mian Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008282
2 2009225
3 2013107
4 2009105
5 200481
6
Parallel Data Mining on Graphics Processors
201169
7 201559
8 201357
9 201754
10 200750
11 201539
12 201337
13 201536
14 201034
15 201531
16
Improving GPGPU Energy-Efficiency through Concurrent Kernel Execution and DVFS
201529
17 201423
18 202115
19
Relational Query Co-Processing on Graphics Processors 1
200915
20 201714

About Mian Lu

Mian Lu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Information Systems and Artificial Intelligence, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Parallel Computing and Optimization Techniques (12 papers), Cloud Computing and Resource Management (8 papers), Algorithms and Data Compression (8 papers), Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (7 papers), Genomics and Phylogenetic Studies (6 papers) and Graph Theory and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (478 citations), Computer Networks and Communications (1.0k citations), Signal Processing (431 citations), Information Systems (565 citations) and Computer Vision and Pattern Recognition (300 citations). Mian Lu has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Bingsheng He, Qiong Luo, Pedro V. Sander, Ke Yang, Naga K. Govindaraju, Rui Fang, Jiong He, Huynh Phung Huynh, Wenbin Fang and Xiangye Xiao. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Parallel and Distributed Systems, Energy Geoscience, Communications of the ACM and Computational and Structural Biotechnology Journal.

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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