Liuqing Yang

1.6k total citations
72 papers, 1.2k citations indexed

About

Liuqing Yang is a scholar working on Geophysics, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Liuqing Yang has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geophysics, 17 papers in Ocean Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Liuqing Yang's work include Seismic Imaging and Inversion Techniques (34 papers), Seismic Waves and Analysis (24 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). Liuqing Yang is often cited by papers focused on Seismic Imaging and Inversion Techniques (34 papers), Seismic Waves and Analysis (24 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). Liuqing Yang collaborates with scholars based in China, United States and Egypt. Liuqing Yang's co-authors include Yangkang Chen, Wei Chen, Omar M. Saad, Georgios B. Giannakis, Shoudong Wang, Xiaohong Chen, Hang Wang, Yapo Abolé Serge Innocent Oboué, Zhi Tian and Sergey Fomel and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

Liuqing Yang

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuqing Yang China 18 599 387 267 247 194 72 1.2k
B. Barkat Singapore 15 200 0.3× 164 0.4× 200 0.7× 92 0.4× 197 1.0× 74 962
Hang Wang China 18 516 0.9× 245 0.6× 39 0.1× 378 1.5× 507 2.6× 77 1.2k
Tie Zhong China 17 390 0.7× 162 0.4× 149 0.6× 139 0.6× 225 1.2× 51 751
Zhiguo Wang China 16 458 0.8× 252 0.7× 40 0.1× 195 0.8× 189 1.0× 83 852
Jean‐Louis Lacoume France 17 143 0.2× 137 0.4× 109 0.4× 193 0.8× 106 0.5× 73 978
Nguyen Duc Thang Vietnam 9 116 0.2× 139 0.4× 99 0.4× 102 0.4× 118 0.6× 33 757
Gaurav Thakur India 8 117 0.2× 67 0.2× 111 0.4× 59 0.2× 173 0.9× 33 898
Philippe Vanheeghe France 13 65 0.1× 225 0.6× 149 0.6× 342 1.4× 97 0.5× 38 828

Countries citing papers authored by Liuqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liuqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuqing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liuqing Yang. A scholar is included among the top collaborators of Liuqing Yang 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 Liuqing Yang. Liuqing Yang 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.
Yang, Liuqing, et al.. (2025). QBTransNet: Deep Learning Earthquake Distinction from Quarry Blasts Using Dilated Convolutional Transformer. Seismological Research Letters. 96(5). 3207–3220. 1 indexed citations
2.
Yang, Liuqing, Sergey Fomel, Shoudong Wang, et al.. (2024). Salt3DNet: A Self-Supervised Learning Framework for 3-D Salt Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 5 indexed citations
3.
Yang, Liuqing, et al.. (2024). Interpretable Unsupervised Learning Framework for Multidimensional Erratic and Random Noise Attenuation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–20. 7 indexed citations
4.
Yang, Liuqing, Xuekai Ma, Teng Long, et al.. (2024). Dual-Wavelength Exciton-Polariton Condensation via Relaxation of Multiple Vibrational Quanta in Organic Microcavities. ACS Photonics. 11(11). 4700–4706. 1 indexed citations
5.
Wu, Bangyu, et al.. (2024). SelfMixed: Self-supervised mixed noise attenuation for distributed acoustic sensing data. Geophysics. 89(5). V415–V436. 4 indexed citations
6.
Chen, Yangkang, Yangkang Chen, Weilin Huang, et al.. (2023). DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology. Computers & Geosciences. 180. 105440–105440. 10 indexed citations
7.
Yan, Yiming, et al.. (2023). Building Extraction at Amodal-Instance- Segmentation Level: Datasets and Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 3 indexed citations
8.
Yang, Liuqing, Sergey Fomel, Shoudong Wang, et al.. (2023). SLKNet: An attention-based deep-learning framework for downhole distributed acoustic sensing data denoising. Geophysics. 88(6). WC69–WC89. 13 indexed citations
9.
Yang, Liuqing, Sergey Fomel, Shoudong Wang, Xiaohong Chen, & Yangkang Chen. (2023). Denoising distributed acoustic sensing data using unsupervised deep learning. Geophysics. 88(4). V317–V332. 12 indexed citations
10.
Cao, Siyuan, et al.. (2023). Simultaneous random plus outlier attenuation and deblending based on L1‐norm misfit function. Geophysical Prospecting. 71(6). 983–997. 2 indexed citations
11.
Yang, Liuqing, Shoudong Wang, Xiaohong Chen, et al.. (2022). High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3429–3443. 38 indexed citations
12.
Zu, Shaohuan, et al.. (2022). Robust local slope estimation by deep learning. Geophysical Prospecting. 70(5). 847–864. 7 indexed citations
13.
Wang, Hang, Yunfeng Chen, Omar M. Saad, et al.. (2022). A MATLAB code package for 2D/3D local slope estimation and structural filtering. Geophysics. 87(3). F1–F14. 24 indexed citations
14.
Yang, Liuqing, Shoudong Wang, Xiaohong Chen, et al.. (2022). Deep-learning missing well-log prediction via long short-term memory network with attention-period mechanism. Geophysics. 88(1). D31–D48. 17 indexed citations
15.
Chen, Wei, Omar M. Saad, Yapo Abolé Serge Innocent Oboué, Liuqing Yang, & Yangkang Chen. (2021). Retrieving the leaked signals from noise using a fast dictionary-learning method. Geophysics. 87(1). V39–V49. 8 indexed citations
16.
Liu, Xingye, Omar M. Saad, Yapo Abolé Serge Innocent Oboué, et al.. (2021). 3-D Seismic Diffraction Separation and Imaging Using the Local Rank-Reduction Method. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 12 indexed citations
17.
Yang, Liuqing, et al.. (2021). Fast High-Resolution Hyperbolic Radon Transform. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 4 indexed citations
18.
Chen, Wei, Hang Wang, Liuqing Yang, Xingye Liu, & Yangkang Chen. (2021). Nonstationary local slope estimation via forward-backward space derivative calculation. Geophysics. 87(1). N1–N11. 12 indexed citations
19.
Yang, Liuqing, et al.. (2021). Large Dip Calculation via Robust Nonstationary Plane-Wave Destruction. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 7 indexed citations
20.
Yang, Liuqing, et al.. (2020). Random Noise Attenuation Based on Residual Convolutional Neural Network in Seismic Datasets. IEEE Access. 8. 30271–30286. 51 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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