Laijun Lu
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in ⓘ
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- Remote-Sensing Image Classification 15
- Advanced Image Fusion Techniques 2
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- Geochemistry and Geologic Mapping 11
- Co-authors
- Yongliang Chen (4 shared papers)Xuebin Li (1 shared paper)Renchu Guan (5 shared papers)Lorenzo Bruzzone (4 shared papers)Chen Yang (7 shared papers)Yanchun Liang (3 shared papers)Qingying Zhao (1 shared paper)Shuya Hu (1 shared paper)
In The Last Decade
Laijun Lu
19 papers receiving 468 citations
Peers
Comparison fields: 5 of 74
- Media Technology 229
- Artificial Intelligence 245
- Environmental Engineering 77
- Computer Vision and Pattern Recognition 76
- Atmospheric Science 61
Countries citing papers authored by Laijun Lu
This map shows the geographic impact of Laijun 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 Laijun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laijun Lu more than expected).
Fields of papers citing papers by Laijun Lu
This network shows the impact of papers produced by Laijun 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 Laijun Lu. The network helps show where Laijun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Laijun 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 | 2014 | 113 | |
| 2 | 2020 | 56 | |
| 3 | 2010 | 52 | |
| 4 | 2021 | 40 | |
| 5 | 2022 | 37 | |
| 6 | 2008 | 36 | |
| 7 | 2012 | 31 | |
| 8 | 2017 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2020 | 10 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2021 | 2 | |
| 18 | Geochemical characteristics and protoliths of the marble rock group of the khondalite series in the Daqing Mountains, Inner Mongolia | 2008 | 1 |
| 19 | 2017 | 1 |
About Laijun Lu
Laijun Lu is a scholar working on Media Technology, Artificial Intelligence, Atmospheric Science, Geology and Geochemistry and Petrology, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (15 papers), Geochemistry and Geologic Mapping (11 papers), Remote Sensing and Land Use (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Face and Expression Recognition (2 papers), Rough Sets and Fuzzy Logic (2 papers), Advanced Image Fusion Techniques (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Media Technology (229 citations), Artificial Intelligence (245 citations), Environmental Engineering (77 citations), Computer Vision and Pattern Recognition (76 citations) and Atmospheric Science (61 citations). Laijun Lu has collaborated with scholars based in China and Italy. Frequent co-authors include Yongliang Chen, Xuebin Li, Renchu Guan, Lorenzo Bruzzone, Chen Yang, Yanchun Liang, Qingying Zhao, Shuya Hu, Zhiyong Chang and Qingyu Li. Their work appears in journals such as Journal of Geochemical Exploration, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Natural Resources Research 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.