Zhaoqi Gao

854 total citations
61 papers, 677 citations indexed

About

Zhaoqi Gao is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Zhaoqi Gao has authored 61 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Geophysics, 35 papers in Ocean Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Zhaoqi Gao's work include Seismic Imaging and Inversion Techniques (47 papers), Seismic Waves and Analysis (30 papers) and Reservoir Engineering and Simulation Methods (14 papers). Zhaoqi Gao is often cited by papers focused on Seismic Imaging and Inversion Techniques (47 papers), Seismic Waves and Analysis (30 papers) and Reservoir Engineering and Simulation Methods (14 papers). Zhaoqi Gao collaborates with scholars based in China, United States and United Kingdom. Zhaoqi Gao's co-authors include Jinghuai Gao, Zhibin Pan, Chuang Li, Wei Zhang, Hao Liang, Xiudi Jiang, Zongben Xu, Zhibin Pan, Ru‐Shan Wu and Feipeng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Zhaoqi Gao

54 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaoqi Gao China 15 440 293 198 129 76 61 677
Xianhai Song China 11 291 0.7× 158 0.5× 151 0.8× 29 0.2× 54 0.7× 28 559
Xueqiang Zhang China 9 177 0.4× 91 0.3× 130 0.7× 22 0.2× 50 0.7× 20 417
Haixia Zhao China 10 185 0.4× 92 0.3× 36 0.2× 108 0.8× 13 0.2× 51 352
Li Tang China 8 104 0.2× 75 0.3× 126 0.6× 28 0.2× 46 0.6× 44 478
Shu Li China 12 110 0.3× 85 0.3× 52 0.3× 26 0.2× 74 1.0× 47 433
Meng Jin China 9 75 0.2× 149 0.5× 72 0.4× 130 1.0× 30 0.4× 28 399
A. Zerva United States 21 397 0.9× 183 0.6× 24 0.1× 118 0.9× 22 0.3× 56 1.5k
Tie Zhong China 17 390 0.9× 162 0.6× 139 0.7× 80 0.6× 5 0.1× 51 751
Carey Bunks France 5 1.1k 2.6× 725 2.5× 74 0.4× 339 2.6× 9 0.1× 11 1.4k
Kou‐Yuan Huang Taiwan 9 123 0.3× 99 0.3× 97 0.5× 51 0.4× 7 0.1× 63 303

Countries citing papers authored by Zhaoqi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoqi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoqi Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoqi Gao. A scholar is included among the top collaborators of Zhaoqi 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 Zhaoqi Gao. Zhaoqi 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.
Li, Feipeng, Jinghuai Gao, Zhiguo Wang, et al.. (2025). True Amplitude Seismic Imaging With Wave Equation-Based Illumination Compensation in the Dip and Reflection Angle Domain. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
2.
Gao, Zhaoqi, et al.. (2025). DEA: Hyperspectral data high-throughput extraction and analysis software. Smart Agricultural Technology. 10. 100800–100800. 1 indexed citations
3.
Li, Zhen, et al.. (2024). Instantaneous Frequency Extraction for Nonstationary Signals via a Squeezing Operator with a Fixed-Point Iteration Method. Remote Sensing. 16(8). 1412–1412. 3 indexed citations
4.
Gao, Zhaoqi, Kezheng Wang, Zhiguo Wang, & Jinghuai Gao. (2024). Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 3 indexed citations
5.
Gao, Zhaoqi, Linsen Yang, Yang Yang, & Jinghuai Gao. (2024). High-resolution acoustic-impedance inversion based on a deep-learning-aided representation model of nonstationary seismic data. Geophysics. 89(6). R521–R539. 2 indexed citations
6.
Li, Zhen, et al.. (2024). The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals. Remote Sensing. 16(7). 1173–1173. 2 indexed citations
7.
Gao, Zhaoqi, et al.. (2024). Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22.
8.
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
9.
Wang, Zhiguo, et al.. (2023). Seismic swarm intelligence inversion with sparse probability distribution of reflectivity. SHILAP Revista de lepidopterología. 4. 1–8. 2 indexed citations
10.
Pan, Zhibin, et al.. (2022). Improving the search accuracy of differential evolution by using the number of consecutive unsuccessful updates. Knowledge-Based Systems. 250. 109005–109005. 15 indexed citations
11.
Li, Feipeng, et al.. (2022). Generating Azimuth–Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 1 indexed citations
12.
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
13.
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
14.
Wang, Zhiqiang, Jinghuai Gao, Haixia Zhao, Bing Zhang, & Zhaoqi Gao. (2021). A New Approach for Blind Nonlinear Acoustic Impedance Inversion. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
15.
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
16.
Gao, Zhaoqi, Chuang Li, Bing Zhang, et al.. (2020). Building large-scale density model via a deep-learning-based data-driven method. Geophysics. 86(1). M1–M15. 16 indexed citations
17.
Zhang, Wei, et al.. (2020). Adjoint-Driven Deep-Learning Seismic Full-Waveform Inversion. IEEE Transactions on Geoscience and Remote Sensing. 59(10). 8913–8932. 48 indexed citations
18.
Gao, Zhaoqi, Zhibin Pan, Chen Zuo, Jinghuai Gao, & Zongben Xu. (2019). An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4720–4734. 30 indexed citations
19.
Zuo, Chen, Zhibin Pan, Zhaoqi Gao, & Jinghuai Gao. (2019). Correlation-driven direct sampling method for geostatistical simulation and training image evaluation. Physical review. E. 99(5). 53310–53310. 13 indexed citations
20.
Gao, Zhaoqi, Zhibin Pan, Jinghuai Gao, & Ru‐Shan Wu. (2018). Frequency Controllable Envelope Operator and Its Application in Multiscale Full-Waveform Inversion. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 683–699. 30 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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