Duo Lu
Impact in
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Advanced Neural Network Applications 2
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- User Authentication and Security Systems 4
- Co-authors
- Dijiang Huang (10 shared papers)Yuli Deng (5 shared papers)Adel Alshamrani (2 shared papers)Ankur Chowdhary (2 shared papers)Andrew Walenstein (1 shared paper)Deep Medhi (1 shared paper)Sandeep Pisharody (1 shared paper)Chun-Jen Chung (2 shared papers)
- Journals
- Sensors (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Wireless Networks (1 paper)Journal of Systems and Software (1 paper)Annual Computer Security Applications Conference (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Duo Lu
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 148
- Signal Processing 53
- Information Systems 108
- Computer Science Applications 25
- Human-Computer Interaction 25
Countries citing papers authored by Duo Lu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 65 | |
| 2 | 2017 | 64 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 32 | |
| 5 | 2016 | 21 | |
| 6 | 2019 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2017 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
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 361 indexed citations. Recurring topics across this work include User Authentication and Security Systems (4 papers), Hand Gesture Recognition Systems (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Software-Defined Networks and 5G (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Advanced Neural Network Applications (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (148 citations), Signal Processing (53 citations), Information Systems (108 citations), Computer Science Applications (25 citations) and Human-Computer Interaction (25 citations). Duo Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dijiang Huang, Yuli Deng, Adel Alshamrani, Ankur Chowdhary, Andrew Walenstein, Deep Medhi, Sandeep Pisharody, Chun-Jen Chung, Zhichao Li and Keming Mao. 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 Annual Computer Security Applications Conference.
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.