Sha Lu

482 total citations · 1 hit paper
19 papers, 290 citations indexed

About

Sha Lu is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Sha Lu has authored 19 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management, Monitoring, Policy and Law, 8 papers in Civil and Structural Engineering and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Sha Lu's work include Landslides and related hazards (11 papers), Soil and Unsaturated Flow (5 papers) and Geotechnical Engineering and Analysis (5 papers). Sha Lu is often cited by papers focused on Landslides and related hazards (11 papers), Soil and Unsaturated Flow (5 papers) and Geotechnical Engineering and Analysis (5 papers). Sha Lu collaborates with scholars based in China, United States and Hong Kong. Sha Lu's co-authors include Huiming Tang, Liangqing Wang, Changdong Li, Zongxing Zou, Yue Wang, Xinli Hu, Robert E. Criss, Yiping Wu, Rong Xiong and Chengren Xiong and has published in prestigious journals such as International Journal of Environmental Research and Public Health, International Journal of Computer Vision and Engineering Geology.

In The Last Decade

Sha Lu

13 papers receiving 278 citations

Hit Papers

A Survey on Global LiDAR Localization: Challenges, Advanc... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
    2024 47 citations Huan Yin, Xuecheng Xu et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Lu China 8 134 104 76 65 61 19 290
Yeming Zhang China 10 220 1.6× 156 1.5× 62 0.8× 50 0.8× 46 0.8× 40 430
Mary MacLaughlin United States 9 171 1.3× 207 2.0× 144 1.9× 228 3.5× 28 0.5× 34 438
Chuanzheng Liu China 9 113 0.8× 143 1.4× 106 1.4× 101 1.6× 19 0.3× 37 315
Kamran Esmaeili Canada 13 88 0.7× 105 1.0× 86 1.1× 177 2.7× 33 0.5× 37 437
Maurizio Lualdi Italy 17 29 0.2× 231 2.2× 29 0.4× 74 1.1× 26 0.4× 58 721
G. Macaluso Italy 9 124 0.9× 98 0.9× 10 0.1× 39 0.6× 182 3.0× 15 371
Takayuki KAWAGUCHI Japan 12 82 0.6× 416 4.0× 45 0.6× 63 1.0× 25 0.4× 90 572
Stephen D. McKinnon Canada 14 207 1.5× 171 1.6× 100 1.3× 466 7.2× 17 0.3× 31 790
Denis Thibodeau Canada 12 99 0.7× 126 1.2× 68 0.9× 266 4.1× 5 0.1× 25 391
Federico Lombardi Italy 13 19 0.1× 126 1.2× 15 0.2× 30 0.5× 33 0.5× 29 456

Countries citing papers authored by Sha Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Lu. A scholar is included among the top collaborators of Sha 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 Sha Lu. Sha Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Haiyan, Xinli Hu, Yabo Li, Hongchao Zheng, & Sha Lu. (2025). Seepage and deformation characteristics of sliding-zone soils under cyclic seepage pressure. Journal of Rock Mechanics and Geotechnical Engineering. 17(11). 7420–7435.
2.
Xu, Xuecheng, Sha Lu, Si Wang, et al.. (2025). Sparse Hierarchical LiDAR Bundle Adjustment for Online Collaborative Localization and Mapping. IEEE Robotics and Automation Letters. 10(6). 5561–5568.
3.
Lu, Sha, Xuecheng Xu, Dongkun Zhang, et al.. (2025). RING#: PR-By-PE Global Localization With Roto-Translation Equivariant Gram Learning. IEEE Transactions on Robotics. 41. 1861–1881.
4.
Tang, Huiming, Yang Jiang, Kun Fang, et al.. (2025). Transmission patterns of progressive damage and reliability analysis of reservoir-induced landslides considering local tensile failure. Journal of Rock Mechanics and Geotechnical Engineering. 18(2). 913–931. 1 indexed citations
5.
6.
Lu, Sha, et al.. (2025). Development of a Model Material Suitable for Reservoir Landslide Model Tests. Journal of Earth Science. 36(5). 1989–2004.
7.
Wu, Jun, et al.. (2024). Recurrent Volume-Based 3-D Feature Fusion for Real-Time Multiview Object Pose Estimation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations
8.
9.
Yin, Huan, Xuecheng Xu, Sha Lu, et al.. (2024). A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems. International Journal of Computer Vision. 132(8). 3139–3171. 47 indexed citations breakdown →
10.
11.
Xu, Xuecheng, Sha Lu, Jun Wu, et al.. (2023). RING++: Roto-Translation Invariant Gram for Global Localization on a Sparse Scan Map. IEEE Transactions on Robotics. 39(6). 4616–4635. 36 indexed citations
12.
Su, Xuexue, Wei Wu, Huiming Tang, et al.. (2023). Physicochemical effect on soil in sliding zone of reservoir landslides. Engineering Geology. 324. 107249–107249. 23 indexed citations
13.
An, Pengju, et al.. (2022). A fast and practical method for determining particle size and shape by using smartphone photogrammetry. Measurement. 193. 110943–110943. 25 indexed citations
14.
Zhou, Yunyan, Juan Hu, Jie Bao, & Sha Lu. (2021). Optimization of Parasitic Inductance for Si-SiC Hybrid Power Module Package. 114–118.
15.
Pang, Linyong, E. Vidal Russell, Yang Lu, et al.. (2020). Enabling faster VSB writing of 193i curvilinear ILT masks that improve wafer process windows for advanced memory applications. 36–36. 8 indexed citations
16.
Zou, Zongxing, Sha Lu, Fei Wang, et al.. (2020). Application of Well Drainage on Treating Seepage-Induced Reservoir Landslides. International Journal of Environmental Research and Public Health. 17(17). 6030–6030. 8 indexed citations
17.
Lu, Sha, Huiming Tang, Yongquan Zhang, Wenping Gong, & Liangqing Wang. (2017). Effects of the particle-size distribution on the micro and macro behavior of soils: fractal dimension as an indicator of the spatial variability of a slip zone in a landslide. Bulletin of Engineering Geology and the Environment. 77(2). 665–677. 33 indexed citations
18.
Tang, Huiming, et al.. (2015). Study on Control Theory of Landslide Based on the Evolution Process. Advances in engineering research. 1 indexed citations
19.
Tang, Huiming, Zongxing Zou, Chengren Xiong, et al.. (2014). An evolution model of large consequent bedding rockslides, with particular reference to the Jiweishan rockslide in Southwest China. Engineering Geology. 186. 17–27. 95 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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