Duo Lu

461 citations
20 papers · 329 · h-index 11

Impact in

Papers in

Duo Lu

20 papers receiving 322 citations

Peers

Duo Lu
Comparison fields: 5 of 61
  • Computer Networks and Communications 132
  • Signal Processing 48
  • Information Systems 97
  • Computer Science Applications 23
  • Human-Computer Interaction 23
Replace Mohammed Amine Togou with:
Mohammed Amine Togou Ireland
Yu-Ling Hsueh Taiwan
Hao Zhou China
Can Liu China
Chintan Patel India
António Costa Portugal
Hameedur Rahman Pakistan
A. Sivasangari India
Nura Musa Tahir Malaysia
Mohd Ezanee Rusli Malaysia
Duo Lu relative to Mohammed Amine Togou Ireland Mohammed Amine Togou's profile →
Citations per field
00.5×1.5×1.8×
Mohammed Amine Togou · 1×
Citations per year

Countries citing papers authored by Duo Lu

Since Specialization
Citations

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

Fields of papers citing papers by Duo Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201759
2 201759
3 201832
4 201931
5 201919
6 201817
7 201717
8 202117
9 201715
10 201615
11 202110
12 201810
13 20198
14 20217
15 20225
16 20242
17 20152
18 20142
19 20231
20 20231

About Duo Lu

Duo Lu is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Automotive Engineering and Human-Computer Interaction, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (4 papers), User Authentication and Security Systems (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Software-Defined Networks and 5G (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Advanced Neural Network Applications (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Networks and Communications (132 citations), Signal Processing (48 citations), Information Systems (97 citations), Computer Science Applications (23 citations) and Human-Computer Interaction (23 citations). Duo Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dijiang Huang, Yuli Deng, Adel Alshamrani, Andrew Walenstein, Deep Medhi, Ankur Chowdhary, Sandeep Pisharody, Chun-Jen Chung, Keming Mao and Zhichao Li. Their work appears in journals such as Sensors, SAE technical papers on CD-ROM/SAE technical paper series, Wireless Networks, Journal of Systems and Software and SAE International Journal of Advances and Current Practices in Mobility.

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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