Mian Lu

1.8k citations
37 papers · 1.2k · h-index 15

Impact in

Papers in

Mian Lu

35 papers receiving 1.1k citations

Peers

Mian Lu
Comparison fields: 5 of 65
  • Hardware and Architecture 382
  • Computer Networks and Communications 827
  • Signal Processing 361
  • Information Systems 451
  • Computer Vision and Pattern Recognition 260
Replace Wenbin Fang with:
Wenbin Fang Hong Kong
Won Woo Ro South Korea
Jingren Zhou United States
Amitabha Roy United States
Duane Merrill United States
Jason Ansel United States
John Cavazos United States
Anurag Acharya United States
Zhengping Qian China
Emina Torlak United States
Mian Lu relative to Wenbin Fang Hong Kong Wenbin Fang's profile →
Citations per field
00.5×5.8×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008251
2 2009195
3 2013101
4 200984
5 200465
6
Parallel Data Mining on Graphics Processors
201163
7 201553
8 201350
9 200742
10 201740
11 201533
12 201532
13 201528
14 201028
15 201421
16 202113
17 200712
18
Relational Query Co-Processing on Graphics Processors 1
200912
19 201711
20 201711

About Mian Lu

Mian Lu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Hardware and Architecture, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Parallel Computing and Optimization Techniques (9 papers), Data Management and Algorithms (8 papers), Algorithms and Data Compression (8 papers), Cloud Computing and Resource Management (6 papers), Advanced Database Systems and Queries (6 papers), Genomics and Phylogenetic Studies (5 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Hardware and Architecture (382 citations), Computer Networks and Communications (827 citations), Signal Processing (361 citations), Information Systems (451 citations) and Computer Vision and Pattern Recognition (260 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, Journal of Parallel and Distributed Computing, Distributed and Parallel Databases, IEEE Transactions on Parallel and Distributed Systems 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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