Guang Li

1.4k total citations
71 papers, 947 citations indexed

About

Guang Li is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Guang Li has authored 71 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 19 papers in Computer Vision and Pattern Recognition and 10 papers in Ocean Engineering. Recurrent topics in Guang Li's work include Geophysical and Geoelectrical Methods (26 papers), Seismic Waves and Analysis (12 papers) and Image and Signal Denoising Methods (8 papers). Guang Li is often cited by papers focused on Geophysical and Geoelectrical Methods (26 papers), Seismic Waves and Analysis (12 papers) and Image and Signal Denoising Methods (8 papers). Guang Li collaborates with scholars based in China, Japan and United States. Guang Li's co-authors include Hengquan Yang, Jingtian Tang, Xiaoqiong Liu, Zhancheng Ma, Cong Zhou, Qingsong Yang, Zhao Zhen, Yi Zhang, Lars Gjesteby and Hongming Shan and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Guang Li

62 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang Li China 16 251 225 187 138 132 71 947
Wuyang Li China 17 11 0.0× 56 0.2× 317 1.7× 66 0.5× 144 1.1× 44 1.1k
Ye Shen China 11 84 0.3× 14 0.1× 80 0.4× 36 0.3× 129 1.0× 39 527
Yu Zheng China 20 169 0.7× 38 0.2× 32 0.2× 4 0.0× 179 1.4× 167 1.5k
Lamei Zhang China 20 13 0.1× 141 0.6× 139 0.7× 9 0.1× 87 0.7× 165 1.6k
Jie Deng United States 16 362 1.4× 12 0.1× 56 0.3× 46 0.3× 28 0.2× 50 801
Hao Liu China 25 426 1.7× 545 2.4× 8 0.0× 6 0.0× 93 0.7× 97 1.9k
Wen Hong China 17 14 0.1× 35 0.2× 162 0.9× 11 0.1× 285 2.2× 124 1.3k
Jianjun Gao China 11 725 2.9× 5 0.0× 212 1.1× 28 0.2× 145 1.1× 42 1.1k

Countries citing papers authored by Guang Li

Since Specialization
Citations

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

Fields of papers citing papers by Guang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Li. A scholar is included among the top collaborators of Guang Li 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 Guang Li. Guang Li 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.
Guo-zhen, Xiao, et al.. (2025). Controlled-source electromagnetic data denoising based on improved vision transformer. Applied Geophysics. 22(4). 1058–1077.
2.
Yang, Le, et al.. (2025). Dynamic simulation of landscape ecological risk in Gansu’s farming-pastoral ecotone based on topographic gradients. Frontiers in Environmental Science. 13. 1 indexed citations
3.
4.
Li, Guang, et al.. (2025). Beyond decoders: Learning prompt-aware features for few-shot object counting. Neurocomputing. 651. 130997–130997.
5.
6.
Li, Jianjun, et al.. (2024). Real-time spatiotemporal action localization algorithm using improved CNNs architecture. Scientific Reports. 14(1). 24772–24772. 1 indexed citations
7.
Li, Guang, et al.. (2024). GTCN: Gated Temporal Convolutional Networks for Controlled-Source Electromagnetic Data Denoising. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14.
8.
Zhang, Liang, et al.. (2024). Identification of the Shaft-Rate Electromagnetic Field Induced by a Moving Ship Using Improved Learning-Based and Spectral-Direction Methods. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 2 indexed citations
9.
10.
Li, Guang, et al.. (2024). Nested Named Entity Recognition based on Span and Efficient Global Pointer. 735–741. 1 indexed citations
11.
Guan, Xiaoqing, et al.. (2024). Trajectory Planning for Spherical Robot Based on Differential Flatness. 1196–1201.
12.
Deng, Juzhi, et al.. (2024). De-noising magnetotelluric data based on machine learning. Journal of Applied Geophysics. 230. 105538–105538.
13.
14.
Xu, Zhimin, et al.. (2023). Hydrogeological Study in Tongchuan City Using the Audio-Frequency Magnetotelluric Method. Magnetochemistry. 9(1). 32–32. 2 indexed citations
15.
Liu, Xiaoqiong, et al.. (2023). Self-organizing Competitive Neural Network Based Adaptive Sparse Representation for Magnetotelluric Data Denoising. Journal of Physics Conference Series. 2651(1). 12129–12129. 1 indexed citations
16.
Wang, Shuai, et al.. (2023). Phase Equilibria of Ti-bearing Electric Furnace Slags in the CaO-MgO-SiO2-13%Al2O3-50%TiO2 System. JOM. 75(12). 5160–5166. 5 indexed citations
17.
Li, Guang, Zhengyong Ren, Qihong Wu, et al.. (2022). Deep Learning Optimized Dictionary Learning and Its Application in Eliminating Strong Magnetotelluric Noise. Minerals. 12(8). 1012–1012. 12 indexed citations
18.
Huang, Xi, et al.. (2022). Effect of irradiation temperature on the nanoindentation behavior of P92 steel with thermomechanical treatment. Nuclear Engineering and Technology. 54(7). 2408–2417. 3 indexed citations
19.
20.
You, Chenyu, Wenxiang Cong, Ge Wang, et al.. (2018). Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access. 6. 41839–41855. 183 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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Breakdown of academic impact, for papers by Wuyang Li Breakdown of academic impact, for papers by Ye Shen Breakdown of academic impact, for papers by Yu Zheng Breakdown of academic impact, for papers by Lamei Zhang Breakdown of academic impact, for papers by Jie Deng Breakdown of academic impact, for papers by Hao Liu Breakdown of academic impact, for papers by Wen Hong Breakdown of academic impact, for papers by Jianjun Gao
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