Lingjia Gu

899 total citations
83 papers, 575 citations indexed

About

Lingjia Gu is a scholar working on Atmospheric Science, Media Technology and Environmental Engineering. According to data from OpenAlex, Lingjia Gu has authored 83 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 26 papers in Media Technology and 22 papers in Environmental Engineering. Recurrent topics in Lingjia Gu's work include Cryospheric studies and observations (24 papers), Climate change and permafrost (21 papers) and Remote-Sensing Image Classification (19 papers). Lingjia Gu is often cited by papers focused on Cryospheric studies and observations (24 papers), Climate change and permafrost (21 papers) and Remote-Sensing Image Classification (19 papers). Lingjia Gu collaborates with scholars based in China, United States and Russia. Lingjia Gu's co-authors include Xiaofeng Li, Fang Gao, Xingming Zheng, Tao Jiang, Kai Zhao, Yanlin Wei, Tao Jiang, Tao Jiang, Wen Dong and Yuhan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Lingjia Gu

72 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingjia Gu China 14 212 165 132 130 92 83 575
Reza Shah–Hosseini Iran 15 144 0.7× 201 1.2× 157 1.2× 117 0.9× 93 1.0× 55 510
Manuel Grizonnet France 7 258 1.2× 160 1.0× 231 1.8× 175 1.3× 78 0.8× 20 648
Mohammad D. Hossain Canada 5 120 0.6× 238 1.4× 225 1.7× 185 1.4× 98 1.1× 10 595
Jiage Chen China 10 166 0.8× 212 1.3× 206 1.6× 94 0.7× 59 0.6× 22 425
Yepei Chen China 7 138 0.7× 218 1.3× 161 1.2× 63 0.5× 60 0.7× 21 394
Leonardo S. Bins Brazil 9 108 0.5× 219 1.3× 173 1.3× 107 0.8× 84 0.9× 16 572
Daniel Scheffler Germany 8 111 0.5× 193 1.2× 239 1.8× 134 1.0× 42 0.5× 22 551
Gang Fu China 4 82 0.4× 200 1.2× 101 0.8× 118 0.9× 87 0.9× 6 354
Aixia Yang China 15 255 1.2× 129 0.8× 263 2.0× 221 1.7× 56 0.6× 48 688

Countries citing papers authored by Lingjia Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lingjia Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjia Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingjia Gu. A scholar is included among the top collaborators of Lingjia Gu 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 Lingjia Gu. Lingjia Gu 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.
Yan, Ze‐Yi, et al.. (2025). Hierarchy features attention network for tiny ship detection from SDGSAT-1 thermal infrared images. Remote Sensing of Environment. 328. 114842–114842.
2.
Gu, Lingjia, et al.. (2025). Snow depth estimation in Northeast China based on space-borne scatterometer data and ML model with optimal features. International Journal of Digital Earth. 18(1).
3.
4.
Gao, Tong, Lingjia Gu, & Hao Chen. (2024). Tensor Ring Discriminant Analysis Used for Dimension Reduction of Remote Sensing Feature Tensor. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
5.
Gu, Lingjia, et al.. (2024). Automated spectral transfer learning strategy for semi-supervised regression on Chlorophyll-a retrievals with Sentinel-2 imagery. International Journal of Digital Earth. 17(1). 4 indexed citations
6.
Gu, Lingjia, et al.. (2024). Adaptive Bilateral-Total-Variation Regularization Algorithm for Enhancing HY2-SCAT Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 1 indexed citations
7.
Wei, Yanlin, Xiaofeng Li, Lingjia Gu, et al.. (2023). Significant decreasing trends in snow cover and duration in Northeast China during the past 40 years from 1980 to 2020. Journal of Hydrology. 626. 130318–130318. 10 indexed citations
8.
Gao, Tong, Lingjia Gu, Hao Chen, & Bin Zhou. (2023). Domain Adaptation Support Tensor Machine: An Extended STM for Object Recognition Using Cross-Source Heterogeneous Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–21. 2 indexed citations
9.
Gu, Lingjia, et al.. (2023). MDE-UNet: A Multitask Deformable UNet Combined Enhancement Network for Farmland Boundary Segmentation. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 40 indexed citations
10.
Wei, Yanlin, Xiaofeng Li, Li Li, et al.. (2022). An Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using Machine Learning in Northeast China. Remote Sensing. 14(6). 1480–1480. 14 indexed citations
11.
Wang, Yuhan, et al.. (2022). An Improved Spatiotemporal Fusion Algorithm for Monitoring Daily Snow Cover Changes With High Spatial Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 8 indexed citations
12.
Gu, Lingjia, et al.. (2021). Snow Depth Estimation Based on Parameter Combinations Selection and Machine Learning Algorithm Using C-Band SAR Data in Northeast China. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations
13.
Gu, Lingjia, et al.. (2020). Land cover classification based on machine learning using UAV multi-spectral images. 50–50. 5 indexed citations
14.
Wu, Bin, Xiaofeng Li, Kai Zhao, et al.. (2019). A Nondestructive Conductivity Estimating Method for Saline-Alkali Land Based on Ground Penetrating Radar. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2605–2614. 7 indexed citations
15.
Gu, Lingjia, et al.. (2018). Building extraction method based on the spectral index for high-resolution remote sensing images over urban areas. Journal of Applied Remote Sensing. 12(4). 1–1. 13 indexed citations
16.
Huang, Bormin, et al.. (2015). Parallel GPU architecture framework for the WRF Single Moment 6-class microphysics scheme. Computers & Geosciences. 83. 17–26. 10 indexed citations
17.
Gu, Lingjia, et al.. (2013). Saline-alkali land classification using MODIS data In Western Jilin Province, China. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8871. 88710A–88710A. 1 indexed citations
18.
Gu, Lingjia, et al.. (2012). Retrieval of snow depth in northeast China using FY-3B/MWRI passive microwave remote sensing data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8514. 85140M–85140M. 1 indexed citations
19.
Gu, Lingjia, Kai Zhao, Shuang Zhang, & Xingming Zheng. (2011). An AMSR-E data unmixing method for monitoring flood and waterlogging disaster. Chinese Geographical Science. 21(6). 666–675. 9 indexed citations
20.
Hamilton, J. H., A. V. Ramayya, A. Gelberg, et al.. (2011). High-spin level structure ofRh115: Evolution of triaxiality in odd-even Rh isotopes. Physical Review C. 84(1). 7 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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