Zhong Lu

13.4k total citations · 3 hit papers
312 papers, 10.6k citations indexed

About

Zhong Lu is a scholar working on Aerospace Engineering, Atmospheric Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, Zhong Lu has authored 312 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Aerospace Engineering, 128 papers in Atmospheric Science and 105 papers in Management, Monitoring, Policy and Law. Recurrent topics in Zhong Lu's work include Synthetic Aperture Radar (SAR) Applications and Techniques (202 papers), Cryospheric studies and observations (112 papers) and Landslides and related hazards (105 papers). Zhong Lu is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (202 papers), Cryospheric studies and observations (112 papers) and Landslides and related hazards (105 papers). Zhong Lu collaborates with scholars based in United States, China and Hong Kong. Zhong Lu's co-authors include Chaoying Zhao, Tim Wright, Daniel Dzurisin, Qin Zhang, B. Parsons, Jin‐Woo Kim, C. W. Wicks, Lei Zhang, Juliet Biggs and Xiaoli Ding and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Zhong Lu

296 papers receiving 10.2k citations

Hit Papers

Toward mapping surface deformation in three dimensions us... 2004 2026 2011 2018 2004 2021 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong Lu United States 55 6.3k 3.9k 3.9k 3.3k 1.5k 312 10.6k
Andrew Hooper United Kingdom 46 6.7k 1.1× 3.0k 0.8× 3.3k 0.9× 3.7k 1.1× 1.9k 1.2× 193 10.3k
Riccardo Lanari Italy 56 10.3k 1.6× 4.3k 1.1× 4.3k 1.1× 2.8k 0.9× 3.0k 2.0× 308 13.4k
E. J. Fielding United States 62 3.5k 0.6× 2.5k 0.6× 2.7k 0.7× 7.3k 2.2× 1.1k 0.8× 202 11.8k
E. Sansosti Italy 37 6.1k 1.0× 2.6k 0.7× 2.7k 0.7× 2.0k 0.6× 1.8k 1.2× 119 8.1k
P. Berardino Italy 26 6.1k 1.0× 2.8k 0.7× 2.9k 0.7× 1.5k 0.4× 1.8k 1.2× 91 7.6k
G. Fornaro Italy 48 8.2k 1.3× 2.9k 0.8× 2.9k 0.7× 1.3k 0.4× 2.4k 1.6× 212 9.9k
Ramon F. Hanssen Netherlands 38 5.9k 0.9× 1.9k 0.5× 2.3k 0.6× 1.0k 0.3× 2.2k 1.5× 247 7.6k
Falk Amelung United States 51 3.7k 0.6× 1.5k 0.4× 1.8k 0.5× 3.8k 1.2× 1.2k 0.8× 151 7.8k
A. Ferretti Italy 44 11.8k 1.9× 5.5k 1.4× 5.4k 1.4× 1.7k 0.5× 3.8k 2.5× 164 14.4k
F. Rocca Italy 50 13.7k 2.2× 4.8k 1.2× 5.2k 1.3× 1.8k 0.5× 5.2k 3.4× 279 17.3k

Countries citing papers authored by Zhong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Lu. A scholar is included among the top collaborators of Zhong 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 Zhong Lu. Zhong 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.
Lu, Zhong, et al.. (2025). Triggering factors and flooding processes of glacial lake outburst flood at Ranzerio lake. SHILAP Revista de lepidopterología. 2(1).
3.
Lu, Zhong, et al.. (2024). Investigation of Oil Well Blowouts Triggered by Wastewater Injection in the Permian Basin, USA. Geophysical Research Letters. 51(14). 3 indexed citations
4.
Liu, Ying, et al.. (2024). 3D automatic detection and correction for phase unwrapping errors in time series SAR interferometry. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 232–245.
5.
Jiang, Yanan, Linfeng Zheng, Qiang Xu, & Zhong Lu. (2024). Deformation mechanism-assisted deep learning architecture for predicting step-like displacement of reservoir landslide. International Journal of Applied Earth Observation and Geoinformation. 133. 104121–104121. 6 indexed citations
6.
Schaefer, Lauren N., Jinwook Kim, Dennis M. Staley, Zhong Lu, & Katherine R. Barnhart. (2024). Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska. Antarctica A Keystone in a Changing World. 3 indexed citations
7.
Wang, Jiahui, Zhong Lu, P. M. Gregg, & Jin‐Woo Kim. (2023). Evolution of the magma system at Makushin volcano, Alaska, from 2004 to 2021. Journal of Volcanology and Geothermal Research. 446. 107991–107991. 1 indexed citations
8.
Wang, Jiahui, et al.. (2023). Along‐Arc Volcanism in the Western and Central Aleutian From 2015 to 2021 Revealed by Cloud‐Based InSAR Processing. Geophysical Research Letters. 50(23). 5 indexed citations
9.
Lu, Zhong, et al.. (2023). Glacial Lake Outburst Flood Monitoring and Modeling through Integrating Multiple Remote Sensing Methods and HEC-RAS. Remote Sensing. 15(22). 5327–5327. 14 indexed citations
10.
Zhang, Lei, et al.. (2023). Enhancing InSAR Coherence Estimation Through Local Phase Surface Modeling. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 3 indexed citations
11.
Zhu, Hejun, Jidong Yang, Thorne Lay, et al.. (2022). Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks. Seismological Research Letters. 93(6). 3266–3277. 4 indexed citations
12.
Yang, Jie, et al.. (2020). A Novel Change Detection Method Based on Statistical Distribution Characteristics Using Multi-Temporal PolSAR Data. Sensors. 20(5). 1508–1508. 10 indexed citations
13.
Wang, Yeqiao, Zhong Lu, Yongwei Sheng, & Yuyu Zhou. (2020). Remote Sensing Applications in Monitoring of Protected Areas. Remote Sensing. 12(9). 1370–1370. 27 indexed citations
14.
Yuan, Zhihui, Zhong Lu, Lifu Chen, & Xuemin Xing. (2020). A Closed-Form Robust Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping and Filtering Algorithm With Optimal Baseline Combination Analysis. IEEE Transactions on Geoscience and Remote Sensing. 58(6). 4251–4262. 38 indexed citations
15.
Hu, Xie, et al.. (2019). Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry. Journal of Geophysical Research Solid Earth. 124(7). 7504–7518. 59 indexed citations
16.
DeShon, Heather R., et al.. (2019). Resolving Teleseismic Earthquake Catalog and InSAR Data Discrepancies in Absolute Space to Explore Rupture Complexity Along the Ecuadorian Megathrust Fault. Journal of Geophysical Research Solid Earth. 124(7). 6703–6719. 7 indexed citations
17.
Zhang, Lei, Hongguo Jia, Zhong Lu, et al.. (2019). Minimizing Height Effects in MTInSAR for Deformation Detection Over Built Areas. IEEE Transactions on Geoscience and Remote Sensing. 57(11). 9167–9176. 9 indexed citations
19.
Lu, Zhong, et al.. (2005). InSAR Studies of Alaska Volcanoes. National Remote Sensing Bulletin. 21(1). 59–72. 3 indexed citations
20.
Lu, Zhong & T. Masterlark. (2003). Magma Supply Dynamics of Okmok Volcano Inferred From Interferometric SAR. AGU Fall Meeting Abstracts. 2003. 3 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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