Lingchen Zhu
Impact in
- Geophysics top 10%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Ocean Engineering top 5%
- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
Papers in
-
- Image and Signal Denoising Methods 3
-
- Sparse and Compressive Sensing Techniques 4
- Co-authors
- James H. McClellan (8 shared papers)Entao Liu (3 shared papers)Emilien Dupont (1 shared paper)Tuanfeng Zhang (1 shared paper)William J. Bailey (1 shared paper)Peter Tilke (1 shared paper)Didier Yu Ding (1 shared paper)Yu‐Shu Wu (1 shared paper)
- Journals
- Geophysics (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Fuel (1 paper)Petroleum Science (1 paper)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Lingchen Zhu
13 papers receiving 325 citations
Peers
Comparison fields: 5 of 47
- Geophysics 173
- Ocean Engineering 121
- Geochemistry and Petrology 30
- Computer Vision and Pattern Recognition 89
- Computational Mechanics 47
Countries citing papers authored by Lingchen Zhu
This map shows the geographic impact of Lingchen Zhu'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 Lingchen Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingchen Zhu more than expected).
Fields of papers citing papers by Lingchen Zhu
This network shows the impact of papers produced by Lingchen Zhu. 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 Lingchen Zhu. The network helps show where Lingchen Zhu may publish in the future.
Co-authors
The 14 scholars most cited alongside Lingchen Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2015 | 106 | |
| 3 | 2019 | 44 | |
| 4 | 2017 | 33 | |
| 5 | 2014 | 7 | |
| 6 | 2015 | 7 | |
| 7 | 2013 | 5 | |
| 8 | 2013 | 4 | |
| 9 | 2011 | 4 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2013 | 2 | |
| 13 | 2017 | 1 |
About Lingchen Zhu
Lingchen Zhu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Ocean Engineering, Geophysics and Electrical and Electronic Engineering, having authored 13 papers that have together received 329 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Seismic Imaging and Inversion Techniques (3 papers), Seismic Waves and Analysis (2 papers), Advanced MIMO Systems Optimization (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Geophysical Methods and Applications (2 papers) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Geophysics (173 citations), Ocean Engineering (121 citations), Geochemistry and Petrology (30 citations), Computer Vision and Pattern Recognition (89 citations) and Computational Mechanics (47 citations). Lingchen Zhu has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include James H. McClellan, Entao Liu, Emilien Dupont, Tuanfeng Zhang, William J. Bailey, Peter Tilke, Didier Yu Ding, Yu‐Shu Wu, Shihao Wang and Nannan Ma. Their work appears in journals such as Geophysics, IEEE Transactions on Circuits and Systems for Video Technology, Fuel and Petroleum Science.
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.