Lingchen Zhu

420 total citations
13 papers, 315 citations indexed

About

Lingchen Zhu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Ocean Engineering. According to data from OpenAlex, Lingchen Zhu has authored 13 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Ocean Engineering. Recurrent topics in Lingchen Zhu's work include Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). Lingchen Zhu is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). Lingchen Zhu collaborates with scholars based in United States, China and France. Lingchen Zhu's co-authors include James H. McClellan, Entao Liu, Liang Lin, Emilien Dupont, Peter Tilke, William J. Bailey, Tuanfeng Zhang, Shihao Wang, Didier Yu Ding and Yu‐Shu Wu and has published in prestigious journals such as Fuel, Geophysics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Lingchen Zhu

13 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingchen Zhu United States 6 167 117 86 57 46 13 315
Xintao Chai China 10 342 2.0× 179 1.5× 53 0.6× 72 1.3× 27 0.6× 25 453
Paul Zwartjes Netherlands 13 543 3.3× 235 2.0× 129 1.5× 87 1.5× 98 2.1× 35 597
Min Bai China 14 464 2.8× 178 1.5× 155 1.8× 55 1.0× 60 1.3× 37 521
Claire Birnie Saudi Arabia 12 286 1.7× 119 1.0× 51 0.6× 55 1.0× 20 0.4× 34 383
Qie Zhang United States 12 546 3.3× 244 2.1× 45 0.5× 127 2.2× 24 0.5× 20 630
Necati Gülünay France 12 585 3.5× 207 1.8× 202 2.3× 75 1.3× 59 1.3× 37 615
Joe Stefani Netherlands 13 494 3.0× 286 2.4× 31 0.4× 146 2.6× 50 1.1× 35 598
Jingye Li China 12 413 2.5× 230 2.0× 93 1.1× 182 3.2× 41 0.9× 68 499

Countries citing papers authored by Lingchen Zhu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lingchen Zhu

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

All Works

13 of 13 papers shown
1.
Zhang, Tuanfeng, Peter Tilke, Emilien Dupont, et al.. (2019). Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks. Petroleum Science. 16(3). 541–549. 104 indexed citations
3.
Zhu, Lingchen, Entao Liu, & James H. McClellan. (2017). Sparse-promoting full-waveform inversion based on online orthonormal dictionary learning. Geophysics. 82(2). R87–R107. 32 indexed citations
4.
Zhang, Kui, Lingchen Zhu, & Lin Ouyang. (2017). Application of 3D-visualization of carbonate rock pore facies based on ray casting algorithm. 34. 185–189. 1 indexed citations
5.
Zhu, Lingchen, Entao Liu, & James H. McClellan. (2016). Fast online orthonormal dictionary learning for efficient full waveform inversion. 54. 1427–1431. 3 indexed citations
6.
Zhu, Lingchen, Entao Liu, & James H. McClellan. (2015). Seismic data denoising through multiscale and sparsity-promoting dictionary learning. Geophysics. 80(6). WD45–WD57. 102 indexed citations
7.
Zhu, Lingchen, et al.. (2015). Application of improved genetic algorithm in automatic test paper generation. 495–499. 7 indexed citations
8.
Zhu, Lingchen, et al.. (2015). An Enhanced Compressed Sensing-Based Interference-Resistant Receiver for LTE Systems. 1–5. 3 indexed citations
9.
Zhu, Lingchen & James H. McClellan. (2014). Compressive sensing based intercell interference channel estimation for heterogeneous network. 429–433. 7 indexed citations
10.
Zhu, Lingchen, et al.. (2013). Coordinated blind calibration for time interleaved ADCS. 3890–3894. 5 indexed citations
11.
Zhu, Lingchen, et al.. (2013). Cyclostationarity-based wideband spectrum sensing using random sampling. 1202–1205. 4 indexed citations
12.
Zhu, Lingchen, et al.. (2013). A general structure for the design of adjustable FIR filters. 53. 5588–5592. 2 indexed citations
13.
Xiong, Hongkai, Lingchen Zhu, Nannan Ma, & Yuan F. Zheng. (2011). Scalable Video Compression Framework With Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design. IEEE Transactions on Circuits and Systems for Video Technology. 21(8). 1085–1099. 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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