Mi Lu

1.4k citations
113 papers · 1k · h-index 17

Impact in

Papers in

Mi Lu

102 papers receiving 991 citations

Peers

Mi Lu
Comparison fields: 5 of 61
  • Hardware and Architecture 66
  • Computer Networks and Communications 162
  • Electrical and Electronic Engineering 284
  • Artificial Intelligence 165
  • Computer Vision and Pattern Recognition 102
Replace Xin Chen with:
Xin Chen China
Sergio Spanò Italy
Peter Vrancx Belgium
Daniele Giardino Italy
Min Li China
Ashley Hill France
Ayaz Ahmad Pakistan
Hamid Reza Naji Iran
Kunal Gupta India
Richard W. Pazzi Canada
Mi Lu relative to Xin Chen China Xin Chen's profile →
Citations per field
00.5×1.5×
Xin Chen · 1×
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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 200463
3 201754
4 199451
5 200343
6 200340
7 202138
8 202236
9 201935
10 201224
11 201924
12 201722
13 200018
14 200318
15
Group-Alignment based Accurate Floating-Point Summation on FPGAs.
200618
16 201918
17 201617
18 202217
19 202217
20 202116

About Mi Lu

Mi Lu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 113 papers that have together received 1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (6 papers), Mobile Ad Hoc Networks (6 papers), Algorithms and Data Compression (6 papers), Non-Destructive Testing Techniques (5 papers), Wireless Networks and Protocols (5 papers), Low-power high-performance VLSI design (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Hardware and Architecture (66 citations), Computer Networks and Communications (162 citations), Electrical and Electronic Engineering (284 citations), Artificial Intelligence (165 citations) and Computer Vision and Pattern Recognition (102 citations). Mi Lu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zhijun Cai, Hua Lin, Yanchun Xu, Xiaodong Wang, Faquan Yu, Weimin Chen, Cheng Zhang, C.N. Georghiades, Liang Wang and Shan Jin. Their work appears in journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Energy and Buildings and Applied Soft Computing.

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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