Laijun Lu

604 citations
19 papers · 508 · h-index 11

Impact in

    • Remote-Sensing Image Classification
    • Advanced Image Fusion Techniques
    • Geochemistry and Geologic Mapping
    • Anomaly Detection Techniques and Applications

Papers in

Laijun Lu

19 papers receiving 501 citations

Peers

Laijun Lu
Comparison fields: 5 of 75
  • Media Technology 236
  • Artificial Intelligence 262
  • Environmental Engineering 80
  • Computer Vision and Pattern Recognition 80
  • Atmospheric Science 64
Replace Laura Tuşa with:
Laura Tuşa Germany
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Yachun Mao China
Mehrdad Daviran Iran
Dalal AL-Alimi China
Wilson Jose ́ de Oliveira Brazil
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Laijun Lu relative to Laura Tuşa Germany Laura Tuşa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laijun Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Laijun Lu Line = papers co-authored together Laijun Lu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014120
2 202060
3 201054
4 202144
5 202239
6 200838
7 201233
8 201728
9 202326
10 201924
11 202311
12 202010
13 20149
14 20244
15 20252
16 20232
17 20212
18
Geochemical characteristics and protoliths of the marble rock group of the khondalite series in the Daqing Mountains, Inner Mongolia
20081
19 20171

About Laijun Lu

Laijun Lu is a scholar working on Media Technology, Artificial Intelligence, Atmospheric Science, Mechanics of Materials and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 508 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), Advanced Image Fusion Techniques (2 papers), Data-Driven Disease Surveillance (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Media Technology (236 citations), Artificial Intelligence (262 citations), Environmental Engineering (80 citations), Computer Vision and Pattern Recognition (80 citations) and Atmospheric Science (64 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, Quansheng Zhao, Shuya Hu and Zhiyong Chang. Their work appears in journals such as Journal of Geochemical Exploration, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Mathematical Geosciences and Water.

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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