Dening Lu

629 total citations
22 papers, 391 citations indexed

About

Dening Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Dening Lu has authored 22 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 9 papers in Environmental Engineering. Recurrent topics in Dening Lu's work include 3D Surveying and Cultural Heritage (9 papers), Remote Sensing and LiDAR Applications (8 papers) and 3D Shape Modeling and Analysis (8 papers). Dening Lu is often cited by papers focused on 3D Surveying and Cultural Heritage (9 papers), Remote Sensing and LiDAR Applications (8 papers) and 3D Shape Modeling and Analysis (8 papers). Dening Lu collaborates with scholars based in China, Canada and United Kingdom. Dening Lu's co-authors include Jun Wang, Qian Xie, Xuequan Lu, Linlin Xu, Kyle Gao, Jonathan Li, Mingqiang Wei, Hu Li, Jinxuan Xu and Dawei Li and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dening Lu

21 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dening Lu China 10 211 166 152 131 65 22 391
Shangshu Yu China 8 203 1.0× 114 0.7× 188 1.2× 128 1.0× 28 0.4× 15 398
Anh Nguyen Japan 2 172 0.8× 76 0.5× 173 1.1× 111 0.8× 23 0.4× 3 314
Rico Richter Germany 10 251 1.2× 45 0.3× 187 1.2× 74 0.6× 127 2.0× 34 403
Xijiang Chen China 12 201 1.0× 93 0.6× 181 1.2× 140 1.1× 59 0.9× 43 422
Massimo Martini Italy 8 324 1.5× 67 0.4× 194 1.3× 120 0.9× 55 0.8× 13 447
Anđelo Martinović Belgium 7 239 1.1× 60 0.4× 159 1.0× 174 1.3× 30 0.5× 10 374
Joris Guerry France 2 181 0.9× 128 0.8× 193 1.3× 62 0.5× 22 0.3× 2 274
Wuyong Tao China 11 213 1.0× 85 0.5× 169 1.1× 113 0.9× 15 0.2× 32 359
Biao Gao China 6 81 0.4× 90 0.5× 115 0.8× 170 1.3× 11 0.2× 9 296

Countries citing papers authored by Dening Lu

Since Specialization
Citations

This map shows the geographic impact of Dening 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 Dening Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dening Lu more than expected).

Fields of papers citing papers by Dening Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dening 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 Dening Lu. The network helps show where Dening Lu may publish in the future.

Co-authorship network of co-authors of Dening Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Dening Lu. A scholar is included among the top collaborators of Dening Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dening Lu. Dening Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Kyle, et al.. (2025). Instructor–Worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires. International Journal of Applied Earth Observation and Geoinformation. 143. 104774–104774. 3 indexed citations
2.
Gao, Kyle, Dening Lu, Hongjie He, et al.. (2025). Enhanced 3-D Urban Scene Reconstruction and Point Cloud Densification Using Gaussian Splatting and Google Earth Imagery. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 4 indexed citations
3.
Lu, Dening, et al.. (2025). 3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds. International Journal of Applied Earth Observation and Geoinformation. 136. 104401–104401. 2 indexed citations
4.
Gao, Kyle, et al.. (2025). Digital Buildings Analysis: 3-D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
5.
Lu, Dening, et al.. (2024). Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Systems with Applications. 252. 124129–124129. 3 indexed citations
6.
Wang, Lanying, Dening Lu, Linlin Xu, et al.. (2024). Individual tree species classification using low-density airborne multispectral LiDAR data via attribute-aware cross-branch transformer. Remote Sensing of Environment. 315. 114456–114456. 4 indexed citations
7.
Lu, Dening, Kyle Gao, Qian Xie, Linlin Xu, & Jonathan Li. (2024). 3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 12 indexed citations
8.
Wei, Mingqiang, Liangliang Nan, Haoran Xie, et al.. (2024). SimLOG: Simultaneous Local-Global Feature Learning for 3D Object Detection in Indoor Point Clouds. IEEE Transactions on Intelligent Transportation Systems. 25(12). 19482–19495.
9.
Lu, Dening, et al.. (2024). Dynamic clustering transformer network for point cloud segmentation. International Journal of Applied Earth Observation and Geoinformation. 128. 103791–103791. 5 indexed citations
10.
Gao, Kyle, Hongjie He, Dening Lu, et al.. (2022). Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset. IEEE Access. 10. 134427–134439. 3 indexed citations
11.
Lu, Dening, Qian Xie, Kyle Gao, Linlin Xu, & Jonathan Li. (2022). 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24854–24865. 64 indexed citations
12.
Xie, Qian, et al.. (2022). MODNet: Multi‐offset Point Cloud Denoising Network Customized for Multi‐scale Patches. Computer Graphics Forum. 41(7). 109–119. 8 indexed citations
13.
Xie, Qian, et al.. (2021). Part-in-whole point cloud registration for aircraft partial scan automated localization. Computer-Aided Design. 137. 103042–103042. 18 indexed citations
14.
Xie, Qian, et al.. (2021). Integrated Circuit Gold Wire Bonding Measurement Via 3-D Point Cloud Deep Learning. IEEE Transactions on Industrial Electronics. 69(11). 11807–11815. 10 indexed citations
15.
Xie, Qian, et al.. (2021). Aircraft skin gap and flush measurement based on seam region extraction from 3D point cloud. Measurement. 176. 109169–109169. 26 indexed citations
16.
Lu, Dening, et al.. (2020). Deep feature-preserving normal estimation for point cloud filtering. Computer-Aided Design. 125. 102860–102860. 76 indexed citations
17.
Lu, Dening, et al.. (2020). Tunnel Deformation Inspection via Global Spatial Axis Extraction from 3D Raw Point Cloud. Sensors. 20(23). 6815–6815. 25 indexed citations
18.
Xie, Qian, et al.. (2020). RRCNet: Rivet Region Classification Network for Rivet Flush Measurement Based on 3-D Point Cloud. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 30 indexed citations
19.
Lu, Dening, et al.. (2019). Hierarchical tunnel modeling from 3D raw LiDAR point cloud. Computer-Aided Design. 114. 143–154. 68 indexed citations
20.
Xie, Qian, et al.. (2019). Aircraft Skin Rivet Detection Based on 3D Point Cloud via Multiple Structures Fitting. Computer-Aided Design. 120. 102805–102805. 26 indexed citations

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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