Jinghuai Gao

6.9k total citations · 1 hit paper
429 papers, 5.3k citations indexed

About

Jinghuai Gao is a scholar working on Geophysics, Ocean Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinghuai Gao has authored 429 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 352 papers in Geophysics, 167 papers in Ocean Engineering and 94 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinghuai Gao's work include Seismic Imaging and Inversion Techniques (345 papers), Seismic Waves and Analysis (190 papers) and Image and Signal Denoising Methods (90 papers). Jinghuai Gao is often cited by papers focused on Seismic Imaging and Inversion Techniques (345 papers), Seismic Waves and Analysis (190 papers) and Image and Signal Denoising Methods (90 papers). Jinghuai Gao collaborates with scholars based in China, United States and Canada. Jinghuai Gao's co-authors include Naihao Liu, Zhaoqi Gao, Xiudi Jiang, Zhiguo Wang, Wei Zhang, Qian Wang, Zhuosheng Zhang, Yang Yang, Ru‐Shan Wu and Zhen Li 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

Jinghuai Gao

398 papers receiving 5.3k citations

Hit Papers

Seismic Data Reconstruction via Wavelet-Based Residual De... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinghuai Gao China 38 3.6k 1.9k 1.0k 982 879 429 5.3k
Mirko van der Baan Canada 33 3.5k 1.0× 1.5k 0.8× 524 0.5× 965 1.0× 330 0.4× 185 4.4k
Jianwei Ma China 36 3.0k 0.8× 1.3k 0.7× 1.6k 1.6× 570 0.6× 208 0.2× 154 4.8k
Yangkang Chen China 60 9.8k 2.7× 4.0k 2.1× 3.1k 3.0× 1.8k 1.8× 441 0.5× 351 11.4k
Sven Treitel United States 26 2.5k 0.7× 1.3k 0.7× 380 0.4× 379 0.4× 170 0.2× 92 3.6k
Sergey Fomel United States 60 12.4k 3.4× 6.7k 3.5× 1.8k 1.7× 3.1k 3.2× 166 0.2× 442 13.6k
Jon F. Claerbout United States 31 5.5k 1.5× 3.0k 1.6× 551 0.5× 939 1.0× 65 0.1× 85 6.7k
Omar Ghattas United States 39 1.4k 0.4× 573 0.3× 213 0.2× 332 0.3× 264 0.3× 122 5.2k
Mauricio D. Sacchi Canada 47 8.1k 2.3× 3.3k 1.8× 2.5k 2.5× 1.5k 1.5× 75 0.1× 355 9.4k
Hui Zhou China 30 1.8k 0.5× 927 0.5× 286 0.3× 451 0.5× 137 0.2× 211 2.6k
Shangxu Wang China 29 2.6k 0.7× 1.6k 0.8× 295 0.3× 820 0.8× 72 0.1× 195 3.0k

Countries citing papers authored by Jinghuai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jinghuai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghuai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghuai Gao. A scholar is included among the top collaborators of Jinghuai Gao 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 Jinghuai Gao. Jinghuai Gao 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.
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
2.
Wang, Ningwei, et al.. (2023). Self-Distillation-Based Polarimetric Image Classification with Noisy and Sparse Labels. Remote Sensing. 15(24). 5751–5751. 7 indexed citations
3.
Zhang, Wei & Jinghuai Gao. (2023). A tutorial of image-domain least-squares reverse time migration through point-spread functions. Geophysics. 88(4). R559–R578. 9 indexed citations
4.
Liu, Naihao, et al.. (2023). Self-supervised time-frequency representation based on generative adversarial networks. Geophysics. 88(4). IM87–IM99. 27 indexed citations
5.
Wang, Zhiguo, et al.. (2023). Seismic attribute analysis with a combination of convolutional autoencoder and random forest in a turbidite reservoir. Geophysics. 89(1). WA207–WA217. 5 indexed citations
6.
Wang, Zhiguo, et al.. (2022). MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer. Earth and Space Science. 9(12). 3 indexed citations
7.
Zhang, Yijie, Danhui Wang, Hui Li, & Jinghuai Gao. (2022). S-wave velocity prediction using physical model-driven Gaussian process regression: A case study of tight sandstone reservoir. Geophysics. 88(2). D85–D93. 3 indexed citations
8.
Xu, Wenhao, Bangyu Wu, Yang Zhong, Jinghuai Gao, & Qing Liu. (2021). Adaptive 27-point finite-difference frequency-domain method for wave simulation of 3D acoustic wave equation. Geophysics. 86(6). T439–T449. 11 indexed citations
9.
Gao, Zhaoqi, Wei Yang, Chuang Li, et al.. (2021). Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion. Geophysics. 87(1). R35–R51. 10 indexed citations
10.
Li, Chuang, Zhaoqi Gao, Jinghuai Gao, Feipeng Li, & Tao Yang. (2021). Angle-domain common-image gathers from plane-wave least-squares reverse time migration. Geophysics. 86(5). S311–S324. 3 indexed citations
11.
Wang, Zhiguo, Jinghuai Gao, Ping Wang, & Xiudi Jiang. (2016). The analytic wavelet transform with generalized Morse wavelets to detect fluvial channels in the Bohai Bay Basin, China. Geophysics. 81(4). O1–O9. 13 indexed citations
13.
Wang, Lingling, Qian Zhao, Jinghuai Gao, et al.. (2016). Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization. Geophysics. 81(3). V169–V182. 60 indexed citations
14.
Wang, Zhiguo, et al.. (2015). 3D seismic attributes for a tight gas sand reservoir characterization of the eastern Sulige gas field, Ordos Basin, China. Geophysics. 80(2). B35–B43. 26 indexed citations
15.
Yang, Pengliang, Jinghuai Gao, & Baoli Wang. (2015). A graphics processing unit implementation of time-domain full-waveform inversion. Geophysics. 80(3). F31–F39. 51 indexed citations
16.
Zhao, Haixia, Jinghuai Gao, & Faqi Liu. (2014). Frequency-dependent reflection coefficients in diffusive-viscous media. Geophysics. 79(3). T143–T155. 25 indexed citations
17.
Wang, Lingling, Jinghuai Gao, Wei Zhao, & Xiudi Jiang. (2012). Enhancing resolution of nonstationary seismic data by molecular-Gabor transform. Geophysics. 78(1). V31–V41. 41 indexed citations
18.
Gao, Jinghuai, et al.. (2010). Non-linear anisotropic diffusion filtering for 3D seismic noise removal and structure enhancement. 25(3). 866–870. 2 indexed citations
19.
Mao, Jian, Ru‐Shan Wu, & Jinghuai Gao. (2010). Directional illumination analysis using the local exponential frame. Geophysics. 75(4). S163–S174. 13 indexed citations
20.
Gao, Jinghuai, et al.. (2007). Improved Classification for Problem Involving Overlapping Patterns(Pattern Recognition). IEICE Transactions on Information and Systems. 90(11). 1787–1795. 5 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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