Dening Lu

629 citations
22 papers · 391 · h-index 10

Impact in

Papers in

Dening Lu

21 papers receiving 379 citations

Peers

Dening Lu
Comparison fields: 5 of 52
  • Geology 211
  • Computer Graphics and Computer-Aided Design 54
  • Environmental Engineering 152
  • Computational Mechanics 166
  • Computer Vision and Pattern Recognition 131
Replace Shangshu Yu with:
Shangshu Yu China
Anh Nguyen Japan
Rico Richter Germany
Joris Guerry France
Yizhak Ben-Shabat Israel
Xijiang Chen China
Liuyuan Deng China
Shenman Zhang China
Xavier Roynard France
Dening Lu relative to Shangshu Yu China Shangshu Yu's profile →
Citations per field
00.5×1.5×2.3×
Shangshu Yu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dening 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 Dening Lu Line = papers co-authored together Dening Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201968
3 202264
4 202030
5 201926
6 202126
7 202025
8 202118
9 202412
10 202110
11 20228
12 20245
13 20244
14 20254
15 20253
16 20243
17 20223
18 20252
19 20212
20 20251

About Dening Lu

Dening Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Environmental Engineering, Geology and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 391 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (9 papers), 3D Shape Modeling and Analysis (8 papers), Remote Sensing and LiDAR Applications (8 papers), Optical measurement and interference techniques (6 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers), Forest ecology and management (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Geology (211 citations), Computer Graphics and Computer-Aided Design (54 citations), Environmental Engineering (152 citations), Computational Mechanics (166 citations) and Computer Vision and Pattern Recognition (131 citations). Dening Lu has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Jun Wang, Qian Xie, Xuequan Lu, Jonathan Li, Kyle Gao, Linlin Xu, Mingqiang Wei, Hu Li, Jinxuan Xu and Dawei Li. Their work appears in journals such as Computer-Aided Design, International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Geoscience and Remote Sensing and Measurement.

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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