Naihao Liu

2.9k total citations · 1 hit paper
116 papers, 2.3k citations indexed

About

Naihao Liu is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Naihao Liu has authored 116 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Geophysics, 57 papers in Ocean Engineering and 25 papers in Mechanical Engineering. Recurrent topics in Naihao Liu's work include Seismic Imaging and Inversion Techniques (101 papers), Seismic Waves and Analysis (46 papers) and Drilling and Well Engineering (46 papers). Naihao Liu is often cited by papers focused on Seismic Imaging and Inversion Techniques (101 papers), Seismic Waves and Analysis (46 papers) and Drilling and Well Engineering (46 papers). Naihao Liu collaborates with scholars based in China, United States and Norway. Naihao Liu's co-authors include Jinghuai Gao, Bo Zhang, Fangyu Li, Hao Wu, Xiudi Jiang, Qian Wang, Bangyu Wu, Zhen Li, Yang Yang and Zhuosheng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

In The Last Decade

Naihao Liu

111 papers receiving 2.3k citations

Hit Papers

Seismic Data Reconstruction via Wavelet-Based Residual De... 2022 2026 2023 2024 2022 25 50 75
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. Seismic Data Reconstruction via Wavelet-Based Residual Deep Learning
    2022 95 citations Naihao Liu, Hao Wu et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Naihao Liu
Mirko van der Baan Canada
Hui Zhou China
Wenkai Lu China
Shangxu Wang China
Siyuan Cao China
Sanyi Yuan China
Weilin Huang China
Shaohuan Zu China
Ali Gholami Iran
Mirko van der Baan Canada
Naihao Liu
Citations per year, relative to Naihao Liu Naihao Liu (= 1×) peers Mirko van der Baan

Countries citing papers authored by Naihao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Naihao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naihao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Naihao Liu. A scholar is included among the top collaborators of Naihao Liu 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 Naihao Liu. Naihao Liu 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.
Duan, Guotao, Ting‐an Zhang, Naihao Liu, et al.. (2025). Influences of paleoclimatic changes on organic matter enrichment mechanisms in freshwater and saline lacustrine oil shales in China: A machine learning approach. Earth-Science Reviews. 262. 105061–105061. 13 indexed citations
2.
Liu, Naihao, et al.. (2025). Stratigraphic Sequence Correlation of Well Logs Using KANFormer Enhanced With OMP-Based Data Augmentation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11. 1 indexed citations
3.
Li, Ruiqi, Yijie Zhang, Naihao Liu, & Jinghuai Gao. (2024). A nodal discontinuous Galerkin method for wave propagation in coupled acoustic–elastic media. Geophysical Prospecting. 72(6). 2282–2299.
4.
Liu, Naihao, et al.. (2024). Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 1 indexed citations
5.
Liu, Naihao, et al.. (2024). Domain adaptation-based sparse time-frequency analysis and its application on seismic attenuation estimation. Geophysics. 89(3). B187–B198. 3 indexed citations
6.
Liu, Naihao, et al.. (2023). Object Part Parsing with Hierarchical Dual Transformer. 2016–2024. 1 indexed citations
7.
8.
Liu, Naihao, et al.. (2023). Sand Bodies Delineation by Fusing Multifrequency Attributes via t-SNE. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 2 indexed citations
9.
Liu, Naihao, et al.. (2023). Sparse time-frequency analysis of seismic data via convolutional neural network. Interpretation. 12(1). T47–T62. 3 indexed citations
10.
Liu, Naihao, et al.. (2023). Self-supervised time-frequency representation based on generative adversarial networks. Geophysics. 88(4). IM87–IM99. 27 indexed citations
11.
Liu, Naihao, et al.. (2023). Sparse unscaled time-frequency transform and its application on seismic attenuation delineation. Geophysics. 88(6). B355–B368. 3 indexed citations
12.
Gao, Jinghuai, et al.. (2023). Enhancing Seismic Resolution via Hyperbolic Spaces S Transform. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 3 indexed citations
13.
Zhang, Bo, et al.. (2022). Exploring factors affecting the performance of deep learning in seismic fault attribute computation. Interpretation. 10(4). T619–T636. 16 indexed citations
14.
Liu, Naihao, et al.. (2021). Microseismic First-Arrival Picking Using Fine-Tuning Feature Pyramid Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
15.
Liu, Naihao, et al.. (2020). Seismic geologic structure characterization using a high-order spectrum-coherence attribute. Interpretation. 8(2). T391–T401. 13 indexed citations
16.
Gao, Zhaoqi, Chuang Li, Naihao Liu, et al.. (2020). Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction. IEEE Transactions on Geoscience and Remote Sensing. 59(2). 1718–1732. 24 indexed citations
17.
Meng, Delin, et al.. (2020). Seismic inversion via closed-loop fully convolutional residual network and transfer learning. 39. 1521–1525. 6 indexed citations
18.
Liu, Naihao, et al.. (2020). Common-azimuth seismic data fault analysis using residual UNet. Interpretation. 8(3). SM25–SM37. 64 indexed citations
19.
Liu, Naihao, et al.. (2019). Seismic anelastic attenuation estimation using prestack seismic gathers. Geophysics. 84(6). M37–M49. 20 indexed citations
20.
Lou, Yihuai, Bo Zhang, Tengfei Lin, et al.. (2019). Accurate seismic dip and azimuth estimation using semblance dip guided structure tensor analysis. Geophysics. 84(5). O103–O112. 22 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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