Jun Lu
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
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- Advanced Image and Video Retrieval Techniques
- Chaos-based Image/Signal Encryption
Papers in
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- Advanced Neural Network Applications 8
- Chaos-based Image/Signal Encryption 8
- Advanced Image and Video Retrieval Techniques 8
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- Algorithms and Data Compression 14
- Co-authors
- Haitao Guo (17 shared papers)Marcus Engdahl (3 shared papers)Daxin Liu (7 shared papers)Lei Xu (1 shared paper)Michael Foumelis (2 shared papers)Qing Xu (5 shared papers)Yves-Louis Desnos (1 shared paper)Diego Fernández (1 shared paper)
- Journals
- Remote Sensing (7 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (3 papers)IEEE Access (2 papers)Remote Sensing Letters (2 papers)Journal of King Saud University - Computer and Information Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jun Lu
86 papers receiving 565 citations
Peers
Comparison fields: 5 of 90
- Media Technology 114
- Computer Vision and Pattern Recognition 172
- Atmospheric Science 87
- Geology 25
- Artificial Intelligence 141
Countries citing papers authored by Jun Lu
This map shows the geographic impact of Jun 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 Jun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lu more than expected).
Fields of papers citing papers by Jun Lu
This network shows the impact of papers produced by Jun 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 Jun Lu. The network helps show where Jun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2023 | 46 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 35 | |
| 5 | 2012 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 1995 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2002 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2010 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 8 |
About Jun Lu
Jun Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Media Technology and Computational Theory and Mathematics, having authored 99 papers that have together received 604 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Remote-Sensing Image Classification (11 papers), Advanced Data Storage Technologies (11 papers), Advanced Neural Network Applications (8 papers), Chaos-based Image/Signal Encryption (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Remote Sensing and Land Use (7 papers) and Caching and Content Delivery (7 papers). The work is most often cited by research in Media Technology (114 citations), Computer Vision and Pattern Recognition (172 citations), Atmospheric Science (87 citations), Geology (25 citations) and Artificial Intelligence (141 citations). Jun Lu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Haitao Guo, Marcus Engdahl, Daxin Liu, Lei Xu, Michael Foumelis, Qing Xu, Yves-Louis Desnos, Diego Fernández, José Manuel Delgado Blasco and Lei Ding. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, Remote Sensing Letters and Journal of King Saud University - Computer and Information Sciences.
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.