Liupeng Lin

441 total citations
25 papers, 299 citations indexed

About

Liupeng Lin is a scholar working on Media Technology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Liupeng Lin has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 9 papers in Environmental Engineering and 8 papers in Atmospheric Science. Recurrent topics in Liupeng Lin's work include Advanced Image Fusion Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). Liupeng Lin is often cited by papers focused on Advanced Image Fusion Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). Liupeng Lin collaborates with scholars based in China, Canada and Hong Kong. Liupeng Lin's co-authors include Huanfeng Shen, Qiangqiang Yuan, Jie Li, Tongwen Li, Lingli Zhao, Xinghua Li, Jingan Wu, Yinghong Jing, Hongzhang Xu and Hongfei Zhao and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Liupeng Lin

19 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liupeng Lin China 9 111 104 99 84 53 25 299
Michael Hornáček Austria 8 115 1.0× 84 0.8× 53 0.5× 137 1.6× 79 1.5× 9 292
Pasquale Iervolino United Kingdom 11 64 0.6× 72 0.7× 100 1.0× 71 0.8× 210 4.0× 28 378
Riadh Abdelfattah Tunisia 10 170 1.5× 79 0.8× 54 0.5× 56 0.7× 233 4.4× 58 381
Yifei Liu China 2 44 0.4× 36 0.3× 55 0.6× 82 1.0× 56 1.1× 7 244
Changmiao Hu China 10 49 0.4× 45 0.4× 147 1.5× 101 1.2× 19 0.4× 37 294
Arnab Muhuri India 10 93 0.8× 134 1.3× 44 0.4× 21 0.3× 128 2.4× 21 284
Carlo Marín Italy 10 62 0.6× 318 3.1× 206 2.1× 61 0.7× 88 1.7× 42 471
Menghui Jiang China 10 50 0.5× 47 0.5× 256 2.6× 169 2.0× 29 0.5× 21 343
Fengkai Lang China 9 76 0.7× 89 0.9× 234 2.4× 114 1.4× 283 5.3× 24 459
Benyamin Hosseiny Iran 9 86 0.8× 39 0.4× 58 0.6× 20 0.2× 72 1.4× 26 265

Countries citing papers authored by Liupeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liupeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liupeng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Liupeng Lin. A scholar is included among the top collaborators of Liupeng Lin 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 Liupeng Lin. Liupeng Lin 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, Jie, Yintao Wei, Liupeng Lin, Qiangqiang Yuan, & Huanfeng Shen. (2025). Two-stage downscaling and correction cascade learning framework for generating long-time series seamless soil moisture. Remote Sensing of Environment. 321. 114684–114684. 1 indexed citations
2.
3.
Li, Jie, et al.. (2025). GLCD-DA: Change detection from optical and SAR imagery using a Global-Local network with diversified attention. ISPRS Journal of Photogrammetry and Remote Sensing. 226. 396–414. 3 indexed citations
4.
Li, Jie, et al.. (2025). A multi-task learning framework for dual-polarization SAR imagery despeckling in temporal change detection scenarios. ISPRS Journal of Photogrammetry and Remote Sensing. 221. 155–178.
5.
Wu, Jingan, Tongwen Li, Liupeng Lin, & Chao Zeng. (2024). Progressive gap-filling in optical remote sensing imagery through a cascade of temporal and spatial reconstruction models. Remote Sensing of Environment. 311. 114245–114245. 3 indexed citations
6.
Shen, Yao, Jingan Wu, & Liupeng Lin. (2024). The Diurnal Variation and Development Status of Ecoenvironmental Quality in Hainan, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9110–9121.
7.
Jing, Yinghong, Yao Li, Xinghua Li, et al.. (2024). An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
8.
Shen, Huanfeng, Menghui Jiang, Liupeng Lin, et al.. (2024). A mechanism-guided machine learning method for mapping gapless land surface temperature. Remote Sensing of Environment. 303. 114001–114001. 13 indexed citations
9.
Li, Jie, et al.. (2024). Sentinel-1 Dual-Polarization SAR Images Despeckling Network Based on Unsupervised Learning. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
10.
Zhu, Xiaolin, et al.. (2023). A hyperspectral image denoising method based on land cover spectral autocorrelation. International Journal of Applied Earth Observation and Geoinformation. 123. 103481–103481. 4 indexed citations
11.
Lin, Liupeng, et al.. (2023). CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 13 indexed citations
12.
Lin, Liupeng, et al.. (2023). PolSAR image deep learning super-resolution model based on multiscale attention mechanism. National Remote Sensing Bulletin. 28(9). 2362–2371. 1 indexed citations
13.
Wei, Yintao, Liupeng Lin, Jie Li, & Qiangqiang Yuan. (2023). A Soil Moisture Downscaling Residual Dense Network Considering Spatiotemporal Relationship. 3170–3173.
14.
Wu, Jingan, et al.. (2023). Generating Sentinel-2 all-band 10-m data by sharpening 20/60-m bands: A hierarchical fusion network. ISPRS Journal of Photogrammetry and Remote Sensing. 196. 16–31. 7 indexed citations
15.
Zhao, Hongfei, Jie Li, Qiangqiang Yuan, et al.. (2022). Downscaling of soil moisture products using deep learning: Comparison and analysis on Tibetan Plateau. Journal of Hydrology. 607. 127570–127570. 51 indexed citations
16.
Jing, Yinghong, Liupeng Lin, Xinghua Li, Tongwen Li, & Huanfeng Shen. (2022). Cascaded Downscaling–Calibration Networks for Satellite Precipitation Estimation. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
17.
Lin, Liupeng, Jie Li, Huanfeng Shen, et al.. (2021). Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 22 indexed citations
18.
Lin, Liupeng, Huanfeng Shen, Jie Li, & Qiangqiang Yuan. (2021). FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
19.
Shen, Huanfeng, Liupeng Lin, Jie Li, Qiangqiang Yuan, & Lingli Zhao. (2020). A residual convolutional neural network for polarimetric SAR image super-resolution. ISPRS Journal of Photogrammetry and Remote Sensing. 161. 90–108. 55 indexed citations
20.
Fang, Huaqiang, et al.. (2015). A road density partition method for the evaluation of road selection. 32. 1–6. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael Hornáček Breakdown of academic impact, for papers by Pasquale Iervolino Breakdown of academic impact, for papers by Riadh Abdelfattah Breakdown of academic impact, for papers by Yifei Liu Breakdown of academic impact, for papers by Changmiao Hu Breakdown of academic impact, for papers by Arnab Muhuri Breakdown of academic impact, for papers by Carlo Marín Breakdown of academic impact, for papers by Menghui Jiang Breakdown of academic impact, for papers by Fengkai Lang Breakdown of academic impact, for papers by Benyamin Hosseiny
Rankless by CCL
2026