Lu Lu
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
Papers in
-
- Advanced Neural Network Applications 10
- Advanced Image and Video Retrieval Techniques 6
- Advanced Image Processing Techniques 5
-
- Software Engineering Research 23
- Co-authors
- Siyu Jiang (5 shared papers)Xiaojun Niu (2 shared papers)Zhang Lin (2 shared papers)Jinling Ma (2 shared papers)Siyuan Liu (2 shared papers)Zhen Tong (2 shared papers)Huamin Qu (2 shared papers)Lionel M. Ni (2 shared papers)
- Journals
- IEEE Access (7 papers)Scientific Reports (2 papers)Multimedia Tools and Applications (2 papers)Journal of Systems Architecture (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Lu
92 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 143
- Software 311
- Information Systems 401
- Computer Vision and Pattern Recognition 270
- Pollution 116
- Signal Processing 113
Countries citing papers authored by Lu Lu
This map shows the geographic impact of Lu 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 Lu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Lu more than expected).
Fields of papers citing papers by Lu Lu
This network shows the impact of papers produced by Lu 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 Lu Lu. The network helps show where Lu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2011 | 90 | |
| 3 | 2020 | 56 | |
| 4 | 2006 | 53 | |
| 5 | 2023 | 45 | |
| 6 | 2006 | 41 | |
| 7 | 2019 | 35 | |
| 8 | 2013 | 32 | |
| 9 | 2019 | 32 | |
| 10 | 2021 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 27 | |
| 14 | 2018 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2022 | 18 |
About Lu Lu
Lu Lu is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Software, Computer Networks and Communications and Artificial Intelligence, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (21 papers), Software System Performance and Reliability (16 papers), Software Testing and Debugging Techniques (11 papers), Advanced Neural Network Applications (10 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Software (311 citations), Information Systems (401 citations), Computer Vision and Pattern Recognition (270 citations), Pollution (116 citations) and Signal Processing (113 citations). Lu Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Siyu Jiang, Xiaojun Niu, Zhang Lin, Jinling Ma, Siyuan Liu, Zhen Tong, Huamin Qu, Lionel M. Ni, Xinxing Liu and Yankun Li. Their work appears in journals such as IEEE Access, Scientific Reports, Multimedia Tools and Applications, Journal of Systems Architecture and Journal of Intelligent & Fuzzy Systems.
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.