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Bin Luo

ResearcherPublications, citations & collaboration network

Bin Luo is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 175 works, 2,023 citations, an h-index of 24 and an i10-index of 54.

175
Works
2,023
Citations
24
h-index
54
i10-index

How has Bin Luo's publication output changed over time?

ScholarIQpublication output · 2005–2024

Output grew0% over the shown period — from 1 works in 2005 to 1 in 2024.

1
2
2
4
1
1
1
2005201220202021202220232024

What are the most-cited papers on Bin Luo?

ScholarIQmost cited works
Video anomaly detection with spatio-temporal dissociation
Yunpeng Chang, Zhigang Tu, Wei Xie, Bin Luo, Shifu Zhang, Haigang Sui, Junsong Yuan
S414566. 2021233 Citations
Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture
Chenghai Yang, J. H. Everitt, Qian Du, Bin Luo, Jocelyn Chanussot
S68686220. 2012142 Citations
Investigation into the influencing factors and adsorption characteristics in the removal of sulfonamide antibiotics by carbonaceous materials
Bin Luo, Guohe Huang, Yao Yao, Chunjiang An, Peng Zhang, Kai Zhao
Journal of Cleaner Production. 202191 Citations
DV-LOAM: Direct Visual LiDAR Odometry and Mapping
Wei Wang, Jun Liu, Chenjie Wang, Bin Luo, Cheng Zhang
S43295729. 202166 CitationsOPEN ACCESS
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery
Bin Luo, Chenghai Yang, Jocelyn Chanussot, Liangpei Zhang
S111326731. 201263 Citations

Related on ScholarIQ

Anhui University
Institution
Video anomaly detection with spatio-temporal dissociation
Paper
Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture
Paper
Investigation into the influencing factors and adsorption characteristics in the removal of sulfonamide antibiotics by carbonaceous materials
Paper
DV-LOAM: Direct Visual LiDAR Odometry and Mapping
Paper
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery
Paper
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