Lingfei Shi

449 total citations
27 papers, 342 citations indexed

About

Lingfei Shi is a scholar working on Ecology, Media Technology and Environmental Engineering. According to data from OpenAlex, Lingfei Shi has authored 27 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 8 papers in Media Technology and 8 papers in Environmental Engineering. Recurrent topics in Lingfei Shi's work include Remote Sensing in Agriculture (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Image Fusion Techniques (5 papers). Lingfei Shi is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Image Fusion Techniques (5 papers). Lingfei Shi collaborates with scholars based in China, United Kingdom and Japan. Lingfei Shi's co-authors include Feng Ling, Yun Du, Giles M. Foody, Xiaodong Li, Yihang Zhang, Yong Ge, Feng Zhang, Renyi Liu, Zhenhong Du and Doreen S. Boyd and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Lingfei Shi

22 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingfei Shi China 12 178 136 108 83 78 27 342
Yongyong Fu China 9 123 0.7× 85 0.6× 72 0.7× 77 0.9× 89 1.1× 14 320
Pingjie Fu China 13 264 1.5× 117 0.9× 110 1.0× 189 2.3× 81 1.0× 29 482
Daehyeon Han South Korea 11 239 1.3× 210 1.5× 288 2.7× 71 0.9× 71 0.9× 19 522
Mar Bisquert Spain 12 295 1.7× 232 1.7× 145 1.3× 158 1.9× 34 0.4× 16 475
Cankut Örmeci Türkiye 11 239 1.3× 167 1.2× 154 1.4× 149 1.8× 55 0.7× 21 431
Jingan Wu China 11 142 0.8× 203 1.5× 158 1.5× 103 1.2× 98 1.3× 25 413
Andrea Vallario Italy 10 105 0.6× 131 1.0× 51 0.5× 120 1.4× 89 1.1× 15 376
Yonghua Sun China 10 168 0.9× 101 0.7× 94 0.9× 140 1.7× 40 0.5× 38 366
Sara Attarchi Iran 9 143 0.8× 121 0.9× 78 0.7× 113 1.4× 44 0.6× 25 313
Xiaoguang Jiang China 15 157 0.9× 285 2.1× 257 2.4× 83 1.0× 70 0.9× 45 502

Countries citing papers authored by Lingfei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lingfei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingfei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lingfei Shi. A scholar is included among the top collaborators of Lingfei Shi 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 Lingfei Shi. Lingfei Shi 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.
2.
Hao, Zhen, Liang Sun, Zhixiang Yin, et al.. (2025). Super-Resolution Cropland Mapping by Spectral and Spatial Training Samples Simulation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
3.
4.
5.
Shi, Lingfei, Xianhu Wei, Kun Yang, & Chen Gong. (2024). A few-shot oil spill segmentation network guided by multi-scale feature similarity modeling. Frontiers in Marine Science. 11. 2 indexed citations
6.
Shi, Lingfei & Kun Yang. (2024). UCFTNet: multi-class dtection of city critical disaster information based on U-shaped cross fusion transformer. International Journal of Digital Earth. 17(1).
7.
Xu, Qiang, Yulong Guo, Weiqiang Chen, et al.. (2024). Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring. GIScience & Remote Sensing. 61(1). 4 indexed citations
8.
Shi, Lingfei, et al.. (2024). Super-resolution cropland mapping with Sentinel-2 images based on a self-training learning network. Remote Sensing Letters. 15(11). 1143–1152. 1 indexed citations
9.
10.
Shi, Lingfei, Feng Zhang, Junshi Xia, & Jibo Xie. (2023). Scene-level buildings damage recognition based on Cross Conv-Transformer. International Journal of Digital Earth. 16(2). 3987–4007. 2 indexed citations
11.
Shi, Lingfei, et al.. (2022). A neural network framework for fine-grained tropical cyclone intensity prediction. Knowledge-Based Systems. 241. 108195–108195. 37 indexed citations
12.
Guo, Yulong, Yuan Li, Chenggong Du, et al.. (2022). Sparse Representing Denoising of Hyperspectral Data for Water Color Remote Sensing. Applied Sciences. 12(15). 7501–7501. 3 indexed citations
13.
Guo, Yulong, Changchun Huang, Yunmei Li, et al.. (2022). An Expanded Three Band Model to Monitor Inland Optically Complex Water Using Geostationary Ocean Color Imager (GOCI). SHILAP Revista de lepidopterología. 3. 6 indexed citations
14.
Shi, Lingfei, Feng Zhang, Junshi Xia, et al.. (2021). Identifying Damaged Buildings in Aerial Images Using the Object Detection Method. Remote Sensing. 13(21). 4213–4213. 24 indexed citations
15.
Chen, Rui, Xiaodong Li, Yihang Zhang, et al.. (2021). Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery. Remote Sensing. 13(12). 2409–2409. 13 indexed citations
16.
Ling, Feng, Doreen S. Boyd, Yong Ge, et al.. (2019). Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network. Water Resources Research. 55(7). 5631–5649. 63 indexed citations
17.
Li, Xiaodong, Feng Ling, Giles M. Foody, et al.. (2019). Spatial–Temporal Super-Resolution Land Cover Mapping With a Local Spatial–Temporal Dependence Model. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4951–4966. 14 indexed citations
18.
Zhang, Yihang, Peter M. Atkinson, Feng Ling, et al.. (2017). Spectral–Spatial Adaptive Area-to-Point Regression Kriging for MODIS Image Downscaling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(5). 1883–1896. 14 indexed citations
19.
20.
Zong, Zhi‐Yuan, Wen Wu, Lingfei Shi, & Da‐Gang Fang. (2010). A novel millimeter wave band-pass frequency selective surface transparent to infrared wave. 49. 162–165.

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 Yongyong Fu Breakdown of academic impact, for papers by Pingjie Fu Breakdown of academic impact, for papers by Daehyeon Han Breakdown of academic impact, for papers by Mar Bisquert Breakdown of academic impact, for papers by Cankut Örmeci Breakdown of academic impact, for papers by Jingan Wu Breakdown of academic impact, for papers by Andrea Vallario Breakdown of academic impact, for papers by Yonghua Sun Breakdown of academic impact, for papers by Sara Attarchi Breakdown of academic impact, for papers by Xiaoguang Jiang
Rankless by CCL
2026