Ling Wu

1.6k total citations
86 papers, 1.2k citations indexed

About

Ling Wu is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Ling Wu has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 29 papers in Global and Planetary Change and 20 papers in Plant Science. Recurrent topics in Ling Wu's work include Remote Sensing in Agriculture (46 papers), Land Use and Ecosystem Services (22 papers) and Leaf Properties and Growth Measurement (12 papers). Ling Wu is often cited by papers focused on Remote Sensing in Agriculture (46 papers), Land Use and Ecosystem Services (22 papers) and Leaf Properties and Growth Measurement (12 papers). Ling Wu collaborates with scholars based in China, United States and Australia. Ling Wu's co-authors include Xiangnan Liu, Meiling Liu, Xiangnan Liu, Chao Ding, Lihong Zhu, Feng Liu, Yuanyuan Meng, Weicui Ding, Ming Jin and Botian Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Ling Wu

81 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Wu China 21 650 416 251 248 215 86 1.2k
Bogdan Zagajewski Poland 20 810 1.2× 317 0.8× 396 1.6× 229 0.9× 256 1.2× 75 1.4k
Chen Zhang United States 20 635 1.0× 507 1.2× 384 1.5× 359 1.4× 94 0.4× 86 1.3k
Matt Aitkenhead United Kingdom 24 434 0.7× 284 0.7× 385 1.5× 365 1.5× 70 0.3× 73 1.5k
Pieter Kempeneers Belgium 21 743 1.1× 420 1.0× 392 1.6× 176 0.7× 324 1.5× 60 1.3k
Sherrie Wang United States 13 538 0.8× 317 0.8× 259 1.0× 265 1.1× 195 0.9× 31 1.1k
Desiré Paelinckx Belgium 10 678 1.0× 392 0.9× 295 1.2× 101 0.4× 242 1.1× 37 1.2k
Emma Izquierdo‐Verdiguier Spain 16 485 0.7× 295 0.7× 268 1.1× 124 0.5× 254 1.2× 60 982
No-Wook Park South Korea 18 371 0.6× 513 1.2× 307 1.2× 212 0.9× 147 0.7× 88 1.2k

Countries citing papers authored by Ling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Wu. A scholar is included among the top collaborators of Ling Wu 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 Ling Wu. Ling Wu 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.
Zhao, Yuxin, Junji Li, Meiling Liu, et al.. (2025). Large-scale mapping and uncertainty assessment of dominant tree species in southern China based on Sentinel-2 time series. Journal of Environmental Management. 390. 126293–126293.
2.
3.
Li, Yiman, et al.. (2024). Spatiotemporal Cube Model Based on Stress Features for Identification of Heavy Metal Stress in Rice. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations
4.
Wu, Ling, Xiangnan Liu, Chen Chen, et al.. (2024). Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations
5.
6.
Liu, Meiling, Ge Chen, Yanan Wen, Ling Wu, & Tianyi Wang. (2024). Combining radiative transfer model with statistical model for distinguishing heavy metal stress level in rice from Sentinel-2 satellite images. Journal of Applied Remote Sensing. 18(4).
7.
8.
Wu, Ling, et al.. (2023). Sub-Annual Scale LandTrendr: Sub-Annual Scale Deforestation Detection Algorithm Using Multi-Source Time Series Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 8563–8576. 5 indexed citations
9.
Wu, Ling, et al.. (2023). Site Selection Prediction for Coffee Shops Based on Multi-Source Space Data Using Machine Learning Techniques. ISPRS International Journal of Geo-Information. 12(8). 329–329. 4 indexed citations
10.
11.
Wu, Ling, Xiangnan Liu, Meiling Liu, et al.. (2022). Online Forest Disturbance Detection at the Sub-Annual Scale Using Spatial Context From Sparse Landsat Time Series. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 4 indexed citations
12.
Liu, Xiangnan, et al.. (2022). Reconstruction of Optical Image Time Series With Unequal Lengths SAR Based on Improved Sequence–Sequence Model. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 11 indexed citations
13.
Liu, Xiangnan, et al.. (2022). Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 8 indexed citations
14.
Liu, Meiling, et al.. (2021). Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China. International Journal of Applied Earth Observation and Geoinformation. 100. 102337–102337. 30 indexed citations
15.
Liu, Meiling, et al.. (2020). Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors. International Journal of Environmental Research and Public Health. 17(7). 2265–2265. 8 indexed citations
16.
Zhao, Bingyu, Meiling Liu, Jian Wu, et al.. (2020). Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. IEEE Access. 8. 223675–223685. 8 indexed citations
17.
Zhou, Botian, Mingsheng Shang, Sheng Zhang, et al.. (2019). Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends. Journal of Environmental Management. 246. 687–694. 16 indexed citations
18.
Wu, Ling, Xiangnan Liu, Qiming Qin, et al.. (2018). Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(5). 1472–1481. 12 indexed citations
19.
Liu, Tianjiao, Xiangnan Liu, Meiling Liu, & Ling Wu. (2018). Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. Sensors. 18(3). 860–860. 17 indexed citations
20.
Wu, Ling, Qiming Qin, Xiangnan Liu, et al.. (2016). Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory. Remote Sensing. 8(3). 197–197. 17 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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